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Session Overview
Location: Gilmorehill Halls (G12), 217A [Lower Ground]
Capacity: 30 persons
Date: Tuesday, 22/Aug/2023
1:15pm - 2:45pm16 SES 01 A: Computer Science and Computational Thinking
Location: Gilmorehill Halls (G12), 217A [Lower Ground]
Session Chair: Ed Smeets
Paper Session
 
16. ICT in Education and Training
Paper

Justifications for Computer Science/Coding on the Curriculum: Neo-Vocational Ideology Veiled in Progressive Educational Terminology?

Oliver McGarr1, Bård Ketil Engen2

1University of Limerick, Ireland; 2Oslo Metropolitan University, Norway

Presenting Author: McGarr, Oliver; Engen, Bård Ketil

The study of Computer Science (CS)/coding in schools has gained renewed interest in recent decades after the early optimism of the late 1970 and 1980s abated because of the rise of interest in the integration of ICT across the curriculum in schools in the 1990s (Brown et al., 2014). This resurgence of interest has since accelerated (Yadyav et al, 2016; Williamson et al, 2019). These initiatives are often in the form of ‘learning to code’ courses or specific CS subjects (Ottestad & Gudmundsdottir, 2018). Analysis by Heintz et al (2016) and Keane and McInerney (2017) suggests that this interest has mainly materialised as standalone subjects on the curriculum rather than being integrated within existing subjects. Williamson et al (2019) argue that such is the level of attention afforded to CS/coding it has become a transnational policy movement. They also remark that despite the relatively quick materialisation of CS/coding in schools as a major policy agenda, the area remains under-researched.

Despite the interest and attention afforded to CS/Coding in schools, the rationales for its introduction vary ranging from explicit economic rationales concerned about national economic competitiveness (Tucker, 2003; McGarr & Johnston, 2020) to broader social and educational justifications aimed at addressing inequalities of opportunity or developing specific cognitive skills for students such as problem solving and analytical skills. These different agendas and rationales are a product of the messiness of the policy making process where multiple stakeholders elbow for influence (Williamson et al, 2019).

When one considers how CS/Coding is materialised in schools, as a stand-alone subject rather than being integrated across the curriculum, it appears to contradict the rationales put forward for its integration in schools. There appears to be a disconnect between the policy rhetoric for a coding for all agenda and how it is ultimately realised in schools as an optional discrete subject.

To explore the rationale for this ‘gap’, this paper explores the recent interest in CS/Coding in schools through the lens of curriculum ideologies (Ross, 2000). Viewing the recent attention in this area as an example of a contemporary curriculum change, this paper aims to undertake a theoretical exploration of the literature surrounding the history of CS/coding in schools using the theoretical lens of curriculum ideologies. It therefore aims to use this historical exploration to help explain past and present rationales for its study in schools. In doing so it aims to highlight the contradictions in current policies.


Methodology, Methods, Research Instruments or Sources Used
To undertake this study, the paper presents the results of a theoretical exploration of the literature exploring early justifications for CS/Coding in schools from the first wave of interest in this area in the 1970s and 1980s.  It then uses the lens of curriculum ideologies to critique the rationales underpinning this phase of interest that emerge from the literature at this time.  Following this, the paper explores the more recent second wave of interest in CS/coding from more contemporary sources and again examines these recent developments through the lens of curriculum ideologies. The paper then aims to explain some of the factors that have led to this renewed interest and explores the insights gained from using this theoretical lens to make sense of recent rationales and practices in the area of CS/Coding.  
Conclusions, Expected Outcomes or Findings
Through the use of this theoretical lens to explain current curriculum developments in the area of CS/Coding in schools, a gap between the reported intentions of a curriculum innovation and the actualities of its realisation is evident. The analysis highlights the malleable use of curriculum ideologies to achieve particular agendas – even if they contradict contemporary education developments.  Neo-vocational ideology underpins much of the discourse in relation to its introduction in schools but it appears masked by a more progressive educational ideology that draws on contemporary discourses around transferrable skills and competencies.  This analysis also highlights the continuing resilience of subject boundaries within national curricula and that for status, prestige and longevity, the realisation of CS/Coding as a standalone subject is the most effective outcome within this environment despite being presented as a skill for all students. At a time when national curricula shift towards more skills-based learning outcomes that lessen the significance of traditional canons of subject knowledge, it is important to recognise that subject sub-cultures and traditional demarcations of content on the curriculum remain powerful influencers over attempts to introduce new content and skills across the curriculum.
References
Brown, N. C. C., Sentance, S., Crick, T. & Humphreys, S. (2014) Restart, ACM Transactions on Computing Education, 14(2), 1–22. https://doi.org/10.1145/2602484
Heintz, F., Mannila, L. & Färnqvist, T. (2016) A review of models for introducing computational thinking, computer science and computing in K-12 education, in: 2016 IEEE Frontiers in Education Conference (FIE) (Erie, PA, IEEE), 1–9.
Keane, N. & McInerney, C. (2017) Report on the provision of courses in computer science in upper second level education internationally (Dublin, NCCA).
McGarr, O., & Johnston, K. (2020). Curricular responses to Computer Science provision in schools: current provision and alternative possibilities. The Curriculum Journal, 31(4), 745-756.
Ottestad, G. & Gudmundsdottir, G. (2018) ICT Policy in Primary and Secondary Education in Europe, in: J. Voogt, G. Knezek, R. Christensen & K.-W. Lai (Eds) Handbook of Information Technology in Primary and Secondary Education (Cham, Switzerland, Springer). ISBN 978-3-319-71053-2. XIII. s1343–1363.
Ross, A. (2000). Curriculum; Construction and Critique. Falmer Press.
Tucker, A. (2003). A model curriculum for K-12 computer science: Final report of the ACM K-12 task force curriculum committee. Association for Computing Machinery, Inc (ACM) Http://Csta.Acm.Org/ Curriculum/Sub/K12final1022.Pdf. https://ci.nii.ac.jp/naid/10020213769/  
Williamson, B. B. R., Annika, Player-Koro, C., & Selwyn, N. (2019). Education recoded: policy mobilities in the international ‘learning to code’ agenda. Journal of Education Policy, 34(5), 705-725. https://doi.org/10.1080/02680939.2018.1476735
Yadav, A., Gretter, S., Hambrusch, S., & Sands, P. (2016). Expanding computer science education in schools: understanding teacher experiences and challenges. Computer Science Education, 26(4), 235-254.


16. ICT in Education and Training
Paper

A Model for Computational Thinking in School and Teacher Education

Thomas Frågåt1, Louise Mifsud2, Per Øyvind Sollid2, Yurdagül Boğar3, Trude Sundtjønn2

1Inland Norway University of Applied Sciences; 2Oslo Metropolitan University; 3University of Helsinki

Presenting Author: Frågåt, Thomas; Mifsud, Louise

Computational Thinking (CT) regained interest from researchers, policymakers, and educators in the aftermath of Wing’s (2006) position article where CT was defined as a fundamental skill that “includes a range of mental tools that reflect the breadth of the field of computer science” (p. 33). However, despite the apparent consensus that CT is a crucial skill that has been implemented in school curricula in several countries (Hsu et al., 2019), there is limited consensus as to how CT is defined. Brennan and Resnick’s (2012) definition divides CT into three key dimensions: computational thinking concepts which are understanding fundamental programming concepts like loops, operators, and conditionals; computational practices which are about the processes of thinking and learning; and computational perspectives which are about how the person understand themselves, the connection with others, and the technical world surrounding them and how these understandings evolve. However, Brennan and Resnick’s (2012) understanding of CT is closely connected to the Scratch environment which might introduce constraints to their framework. Based on their review of the state of the field, Grover and Pea (2013) described CT as comprising abstractions and pattern generalizations; systematic processing of information; algorithmic notions of flow of control; structured problem decomposition; conditional logic; efficiency and performance constraint; debugging and systematic error detection; and iterative, recursive, and parallel thinking. Weintrop et al.’s (2016) CT definition focuses on four main categories: data practices, modelling and simulation practices, computational problem-solving practices, and systems thinking practices, aiming at developing a nuanced understanding of CT in mathematics and science. Shute et al. (2017) proposed a model for CT that aimed at being useful between disciplines and instructional settings. They defined “CT as the conceptual foundation required to solve problems effectively and efficiently (i.e., algorithmically, with or without the assistance of computers) with solutions that are reusable in different contexts” (p. 151). Consequently, they understood CT as a logical way of thinking. Further, they categorized CT into decomposition, abstraction, algorithms, debugging, iteration, and generalization.

Tang et al. (2020) argued that an essential difference between the various definitions of CT is whether the definition focuses on CT as programming and computing, and those that focus more on CT as competencies needed in both domain-specific knowledge and general problem-solving. Shute et al. (2017) raised an important issue in their definition of CT, namely the need to define CT across different contexts. Yadav et al. (2022) pointed out the lack of studies that focus on CT in initial teacher education, highlighting the need to develop not necessarily a consensual definition of CT, but rather a working framework that can span both school and teacher education.

Consequently, this study aims to develop a flexible model for CT competencies that can be used across different education levels, by teachers, teacher educators and student teachers. To do this, we investigate the following research questions:

RQ1: What characterizes the definitions and operationalizations of CT used in empirical studies of CT?

RQ2: What are the converging and diverging understandings of CT used in empirical studies of CT?

In our study, we view CT as a ‘boundary object’, drawing on Star and Griesemer (1989). As a boundary object, CT is viewed as an ‘ill-structured’ concept that has resulted in a tug-of-war. However, from a boundary object perspective, it is this very lack of consensus that can contribute to developing a model that is flexible and adaptable in different contexts.


Methodology, Methods, Research Instruments or Sources Used
To create an overview of the characteristics of definitions and operationalizations of CT, we make use of a systematic review, guided by the seven-step procedure proposed by Fink (2019) to ensure independently reproducible results. 1) We identified the research questions by conducting a systematic umbrella review (Authors, 2022); 2) we identified search terms including inclusion and exclusion criteria; 3) the results from the database searches were screened using Rayyan; 4) a pilot review was conducted; 5) the systematic review was conducted with two coders coding each article based on a codebook that was agreed upon in advance; 6) the results were synthesized drawing on the directed content analysis approach described by Hsieh and Shannon (2005); and 7) a descriptive review was performed that led to the CT framework. The database searches were run in selected databases (Scopus, ProQuest, Web of Science, ACM Digital Library, ERIC, EBSCO, IEEE Xplore, and JSTOR) which were selected based on the experiences from the umbrella review (Authors, 2022). The search terms were combinations of computational thinking, algorithmic thinking, problem-solving, programming, coding, and different levels of education ranging from primary school to teacher education including abbreviations and synonyms. The search was limited to journal articles published in English between 2012 and 2022. The database searches gave us 2253 articles, including duplicates. After removing duplicates, 1526 articles were imported into Rayyan for screening. The screening process where two researchers screened each abstract reduced the included number of articles to 179. In this process articles that were not empirical, focused on special education or non-compulsory education, or pure computer science in higher education were excluded. After the screening, the articles were each coded by two coders, ensuring inter-coder reliability. The codes were decided on in advance based on the research questions. The results were cross-checked and discussed between coders. Some of the articles were excluded during the coding process based on the inclusion and exclusion criteria. Where there were disagreements between the coders, the first and second authors made a final decision. After this step, 113 articles were included. The data were synthesized and further analysed to answer the research questions.
Conclusions, Expected Outcomes or Findings
The 113 empirical articles used a wide variety of CT definitions, often with a generic viewpoint. Interestingly, most of the empirical articles included in our review were published after 2017, supporting the claim of increasing interest in CT. Our preliminary results indicate that Brennan and Resnick’s (2012) understanding of CT is the most used framework. However, this could be an obstacle as Brennan and Resnick’s definition is based on the environment Scratch. Although Shute et al. (2017) claimed that their framework is adaptable between different disciplines and instructional settings, it seems to be less used. However, further analysis might inform if there are some contextual differences between the various frameworks. Furthermore, there are indications that the operationalization of CT revolves around constructs such as abstraction, decomposition, pattern recognition, algorithmic design, evaluation, and generalization.

Based on these preliminary findings, there is a need for a model for CT competencies that encompasses different CT perspectives. Identifying the different indicators of CT, collecting the most frequent, and dividing them into subject-specific or generic approaches to CT, we divided CT into several dimensions of competencies. These competencies take into account the perspectives of students, student teachers, teacher educators, and teachers, aiming to ensure the flexibility of the CT competencies model in terms of education level. Furthermore, the CT competencies model is targeted towards both generic and subject-specific approaches.

References
Authors (2022)
Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking [Paper presentation]. Annual American Educational Research Association Meeting, Vancouver, BC, Canada (pp. 1–25). https://doi.org/10.1.1.296.6602
Fink, A. (2019). Conducting research literature reviews: From the internet to paper. Sage publications.
Grover, S., & Pea, R. (2013). Computational Thinking in K–12:A Review of the State of the Field. Educational Researcher, 42(1), 38-43. https://doi.org/10.3102/0013189x12463051
Hsieh, H.-F., & Shannon, S. E. (2005). Three Approaches to Qualitative Content Analysis. Qualitative Health Research, 15(9), 1277-1288. https://doi.org/10.1177/1049732305276687
Hsu, YC., Irie, N.R. & Ching, YH. Computational Thinking Educational Policy Initiatives (CTEPI) Across the Globe. TechTrends 63, 260–270 (2019). https://doi.org/10.1007/s11528-019-00384-4
Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142-158. https://doi.org/10.1016/j.edurev.2017.09.003
Star, S. L., & Griesemer, J. R. (1989). Institutional Ecology, `Translations' and Boundary Objects: Amateurs and Professionals in Berkeley's Museum of Vertebrate Zoology, 1907-39. Social Studies of Science, 19(3), 387-420. https://doi.org/10.1177/030631289019003001
Tang, X., Yin, Y., Lin, Q., Hadad, R., & Zhai, X. (2020). Assessing computational thinking: A systematic review of empirical studies. Computers & Education, 148, 103798. https://doi.org/10.1016/j.compedu.2019.103798
Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining computational thinking for mathematics and science classrooms. Journal of Science Education and Technology, 25(1), 127-147. https://link.springer.com/article/10.1007/s10956-015-9581-5
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/10.1145/1118178.1118215
Yadav, A., Caeli, E. N., Ocak, C., & Macann, V. (2022, July). Teacher Education and Computational Thinking: Measuring Pre-service Teacher Conceptions and Attitudes. In Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education Vol. 1 (pp. 547-553).


16. ICT in Education and Training
Paper

Assessing Subject-specific Computational Thinking - Framework for Formative and Summative Assessment

Katarina Pajchel1, Thomas Frågåt2, Louise Mifsud1

1OsloMet - Oslo Metropolitan University, Norway; 2INN - Inland Norway University of Applied Sciences

Presenting Author: Frågåt, Thomas; Mifsud, Louise

Within the last decade, several national curricula have introduced computational thinking (CT), either through a dedicated subject or integrated within existing subjects (Bocconi et al., 2022) Several reviews of CT highlight the lack of a unified definition e.g. Weintrop et al. (2016) which in turn percolates to a disparity in the assessment of CT. Nevertheless, there is a consensus that CT includes concepts and practices which are foundational in computing and are crucial in a wide range of problem-solving. With the ever-growing use of digital tools in schools and in all kinds of professional practices, it becomes relevant to introduce CT in learning contexts.

CT frameworks vary from more generic to subject-specific. Examples of more generic frameworks are Brennan and Resnick (2012), and Grover and Pea (2013) which overlap on aspects like decomposition, abstraction, algorithms, and debugging. The more subject-specific frameworks relevant to the integration of CT into mathematics and science highlight approaches like formulating problems, gathering and analysing data, and modelling e.g. Weintrop et al. (2016). Integration of CT in curricula will affect the learning processes and, therefore, should have implications for assessment.

Only a few of the CT frameworks are operationalized as assessment frameworks. There are numerous assessment tools, but many are focused on programming practices or as part of a computer science subject. Furthermore, the tools are often automatized providing summative assessment. Many frameworks are targeted towards intervention studies rather than assessment criteria for educators. As CT is a growing educational field, there is a need for a CT framework which can be applied by teachers and inform their design of teaching and assessment. Such guidelines for both teachers and students can be understood as shared learning intentions and criteria (Wiliam, 2011) and measures that may enable educators to evaluate the effectiveness of incorporating CT in curricula (Grover & Pea, 2013).

Discussions regarding the assessment of CT have frequently focused on CT as a generic skill e.g. Román-González et al. (2019) or assessments of students’ programming or computing skills (Tang et al., 2020). There is a need for developing an assessment framework providing formative and summative assessment relevant for integrating CT into subjects (Tang et al., 2020).

CT was included in several subjects in the Norwegian curriculum in 2020. In mathematics, students are introduced to the basic concepts of programming like variables, loops, and conditions. Building on the skills developed in mathematics, the students are expected to use programming in science, arts and crafts, and music. Although the curriculum uses the term programming, it is broadly understood as a concept close to CT. Through programming, the students should explore the subject matter enhancing their learning outcome (Norwegian Directorate for Education and Training, 2019).

The aim of this study is to explore the assessment constructs aligned with the relevant CT definitions and with the subject-matter knowledge. Thus, in this study we raise the following research question:

RQ1: What constructs inform a framework for the assessment of CT?

RQ2: How can a set of CT assessment constructs support practitioners’ teaching and assessment?

Formative and summative assessment are related and they play an important role in students learning (Wiliam, 2011). CT is complex and therefore it is recommended to develop rich and complementary systems of assessment (Grover, 2017; Román-González et al., 2019). To create the framework, we draw on a literature review, teacher interviews as well as on classroom observations. The framework is furthermore tested in close collaboration with teachers.


Methodology, Methods, Research Instruments or Sources Used
The overall study was designed to examine the use of CT in primary and secondary education. This paper focuses on the assessment of CT. The overall research design is design-based research (Juuti & Lavonen, 2006). The project [blinded] is a longitudinal study that addresses the emerging needs for a CT assessment framework which may support teachers’ practice as well as teacher education.

During the initial phase, a literature review of CT assessment strategies was made. Concurrently, observation sessions in classrooms were conducted in order to map the status quo and understand teachers’ needs in addition to semi-structured teacher interviews. In phase two, a criteria framework for the assessment of CT was developed, based on the results from the review and the needs identified. In the third phase, an intervention was designed together with teachers, which was conducted in 2 classrooms and 2 schools over a period of 2 semesters (phase one spring 2022 and phase two spring 2023), primarily in mathematics and science lessons. Results from the interventions were then evaluated.

Data were collected by means of focus group interviews with all the teachers in the study prior to data collection, observations (one video camera focusing on the teacher as well as Go-Pro cameras strapped to the students), and interviews with the teachers and group interviews with students at the end of each trial.  Integration of assessment principles into the teaching units was a central design principle throughout the intervention.  

The data corpus includes video and interview material which were first content logged and then categorized. The categories were developed first through screening the literature review.  These were later further elaborated. A subset of these categories was transcribed and analysed.

Conclusions, Expected Outcomes or Findings
In this paper, we advance a framework for both formative and summative assessment of CT within the mathematics and science. The review of literature yielded 46 articles, where 31 was included. Several assessment constructs emerged from the review of literature. A substantial part of the articles took Brennan and Resnick (2012) framework as their point of departure. The review also indicated that there is more focus on generic formative assessment, in line with Tang et al.’s  (2020) findings. Grover (2017) recommends “systems of assessment” and Román-González et al. (2019) use of multiple means of assessment. Drawing on and extending on Tang et al.’s  (2020) and Grover's (2017) findings and their directions for further research, we focus on assessment constructs that align with corresponding CT definitions as well as the subject-matter knowledge in order to highlight the integration between CT and subject domains.

The framework developed in this study operationalises the identified CT assessment constructs such that they inform both formative and summative assessment across different subject contexts and spanning both schools and teacher education. The aim is to contribute to better integration between CT and subject domains as well as a tighter coupling between subject domain assessment and CT assessment.

References
Bocconi, S., Chioccariello, A., Kampylis, P., Dagienė, V., Wastiau, P., Engelhardt, K., Earp, J., Horvath, M., Jasutė, E., & Malagoli, C. (2022). Reviewing computational thinking in compulsory education: state of play and practices from computing education (No. JRC128347). Publications Office of the European Union
Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. (Ed.),^(Eds.). Proceedings of the 2012 annual meeting of the American educational research association, Vancouver, Canada.
Grover, S. (2017). Assessing Algorithmic and Computational Thinking in K-12: Lessons from a Middle School Classroom. In P. J. Rich & C. B. Hodges (Eds.), Emerging Research, Practice, and Policy on Computational Thinking (pp. 269-288). Springer International Publishing. https://doi.org/10.1007/978-3-319-52691-1_17
Grover, S., & Pea, R. (2013). Computational thinking in K–12: A review of the state of the field. Educational researcher, 42(1), 38-43. https://doi.org/10.3102/0013189X12463051
Juuti, K., & Lavonen, J. (2006). Design-based research in science education: One step towards methodology. Nordic Studies in Science Education, 2(2), 54-68.  
Norwegian Directorate for Education and Training. (2019). Curriculum for Natural science. https://www.udir.no/lk20/nat01-04?lang=eng
Román-González, M., Moreno-León, J., & Robles, G. (2019). Combining assessment tools for a comprehensive evaluation of computational thinking interventions. Computational thinking education, 79-98.  
Tang, X., Yin, Y., Lin, Q., Hadad, R., & Zhai, X. (2020). Assessing computational thinking: A systematic review of empirical studies. Computers & Education, 148, 103798. https://doi.org/https://doi.org/10.1016/j.compedu.2019.103798
Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining Computational Thinking for Mathematics and Science Classrooms. Journal of Science Education and Technology, 25(1), 127-147. https://doi.org/10.1007/s10956-015-9581-5
Wiliam, D. (2011). What is assessment for learning? Studies in Educational Evaluation, 37(1), 3-14. https://doi.org/https://doi.org/10.1016/j.stueduc.2011.03.001
 
3:15pm - 4:45pm16 SES 02 A: Professional Competences and Professional Development
Location: Gilmorehill Halls (G12), 217A [Lower Ground]
Session Chair: Ed Smeets
Paper Session
 
16. ICT in Education and Training
Paper

Exploring the Sociotechnical Imaginary of Professional Digital Competence: Unpacking ‘the Problem’ with Teachers

Erik Straume Bussesund

OsloMet - Oslo Metropolitan University, Norway

Presenting Author: Bussesund, Erik Straume

The use of technology in education has been a topic of interest for policymakers for many years, as is alleged to have significantly benefits for the learning experience for students. With the rapid implementation of digital technology in education in recent years, there has been a focus on the role of teacher qualifications in preparing students for a digital society and utilise the potential of a datafyed and digitised education system. The teacher is commonly portrayed to play a critical role in integrating technology into classroom and ensuring that students can effectively use it to learn and acquire new skills.

The focus has been on providing teachers with the necessary training and professional development to effectively integrate technology into their teaching practice. A common means of achieving such qualifications is the development of teachers’ professional digital competence often presented as qualification framework. While the incorporation of technology in education and the professional development of teachers is often presented as a depoliticized and objective improvement project, this paper critically analyses the conception of a digitally competent teacher as constructed in this policy. It argues that the conceptualization of a digitally competent teacher is not a neutral, apolitical construct, but rather one that is shaped by the political, economic, and social context in which it is developed. The study examines the ways in which the problematisation of teachers need for digitally competent is used to justify certain policy decisions and how the definition of digital competency is used to shape the role of teachers. By taking a critical perspective, this study aims to uncover the veiled power dynamics and potential consequences of these policies on teachers and the education system.

This paper conducts a critical analysis of the Norwegian Professional Digital Competence Framework for Teachers (the ‘PDC framework’) using Bacchi's (2009) ‘What's the problem represented to be?’ approach. The WPR approach involves analysing policy documents to uncover the underlying assumptions and policy imagination that shape the problem representation and subsequent solutions proposed in the document. In this case, the analysis aims to uncover the assumptions and representations of digital competency for teachers as constructed in the PDC framework, and the potential consequences of these representations on the role of teachers and the education system in Norway. The paper's focus is on the PDC framework as it is a governing the development and implementation of technology in education and the professional development of teachers in Norway.

This paper argues that the PDC framework is used as a policy instrument to stabilize and legitimize the use of digital technologies in the classroom. The PDC framework is informed by a sociotechnical imaginary that digital technology is the driving force for pedagogical development and that teachers are deficient when facing a digitized education. The paper discusses the potential consequences of the PDC framework on the role of teachers and the education system in Norway. Specifically, it argues that the PDC framework may lead to an unintended process of de-professionalization, in which teachers' autonomy is weakened. This is because the framework reinforces the idea that digital technology having inherent powers that teacher needs to use in the classroom, and that they need to be trained and regulated to do so. As a result, teachers may be less able to exercise autonomy and make decisions about how to use technology to support student learning, ultimately weakening their professional status.


Methodology, Methods, Research Instruments or Sources Used
The purpose of a WPR analysis is to critically scrutinise governmental problematisations by examining taken-for-granted ‘truths’ and analysing policy assumptions (Bacchi, 2012), in this case the Norwegian qualification framework for teachers PDC. The analysis is based on the notion that policies do not respond to problems; rather, problems are ‘created’ through the very policies that purport to ‘solve’ them (Bacchi, 2000, p. 48). This leaves researchers the task to ‘determine’ the problem representation from the proposed solution (Bacchi & Goodwin, 2018).  Policy’s problematise and shape subjects and influence.
The aim of the WPR analysis is to understand which conditions and assumptions are necessary for the PDC. The WPR method involves studying how problems are questioned, analysed, classified and regulated at specific times and under specific circumstances (Bacchi, 2012). We use problem representations as a springboard to analyse what visions of teacher work and schooling that underpin current digitalisation policy in Norway. In that regard we focus on the PDC framework as it is illustrative of wider trend of constructing qualification framework for education as a policy tool (Young & Allais, 2016) and a focus on teacher competency with regard to successful digitalisation of education (McGarr & McDonagh, 2019; Spante et al., 2018). The analysis of the PDC framework is based on  Bacchi and Goodwins (2018 p 42)  six analytical questions:  
We use these six questions to analyse the underlying problem representation of the PDC framework. The first question is a clarifying exercise to identify the problem representation within a given policy. The second question is to uncover the conceptual logics or discourses behind the problem representation. The third question reveals the conditions or contexts that enable the problem representation to form and influence. The fourth question highlights the issues and perspectives that are silenced in the dominant discourse, while the fifth question identifies the effects of the problem representation. The sixth question focuses on the public policy debate or discourse and how the present representation can be challenged. According to Bacchi and Goodwin, the questions does not follow in a sequential analytical order, or that all the questions should be a part of the analysis. In this paper, we will focus on the first three questions to analyse the underlying values framing the problem that the PDC framework is meant to solve, followed by discussing what effects are produced by the problem representation.

Conclusions, Expected Outcomes or Findings
Digital technology is portrayed as engaging, promoting democracy, and qualifying students for the knowledge economy. This should be understood as a sociotechnical imaginary that produces distinct subjects, spaces, and objects. In our analysis, we focused on how teachers’ professionalism is reimagined in the face of this sociotechnical imaginary that emphasises competitive and learning advantages in the face of an uncertain future. The framework seeks to solve the issues emerging in the digitalisation of the education system by prescrib-ing the knowledge, skills and competence that teachers are apparently lacking.
At first glance, the purpose of the PDC framework is to serve as a guideline for fostering teachers’ professional development and digital competence. It ends up problematising teachers’ competence based on the assumed benefits of digital technology. Based on our reading of the problem representation of the PDC framework, professional development becomes a matter of technical compliance. This way of framing teachers as lacking competency ends up de-professionalising the teacher profession (Evetts, 2013; Gore et al., 2022; McGarr et al., 2022). Teachers are made responsible to deliver on the promises of a digital educational system.  
Given the level of policy borrowing and international convergence in this arena, it is reasonable to assume that similar findings can be found in other qualifications frameworks and policies concerning teacher qualification. Our analysis shows the use of qualification frameworks a tool that frames teachers as deficient and need of upskilling, there in producing an image of teachers lagging the demands of the future. There by delegitimising professional autonomy in favour accountability, measurement and educational effectiveness threw up-skilling.

References
Bacchi, C. (2000). Policy as discourse: What does it mean? Where does it get us? Discourse: Studies in the Cultural Politics of Education, 21(1), 45–57.
Bacchi, C. (2012). Why study problematizations? Making politics visible. Open Journal of Political Science, 2(01), 1.
Bacchi, C., & Goodwin, S. (2018). Poststructural Policy Analysis: A Guide to Practice. New York: Palgrave Macmillan US.
Evetts, J. (2013). Professionalism: Value and ideology. Current Sociology, 61(5–6), 778–796.
Gore, J., Rickards, B., & Fray, L. (2022). From performative to professional accountability: Re-imagining ‘the field of judgment’ through teacher professional development. Journal of Education Policy, 1–22. https://doi.org/10.1080/02680939.2022.2080274
McGarr, O., & McDonagh, A. (2019). Digital Competence in Teacher Education. Output 1 of the Erasmus + funded Developing Student Teachers’ Digital Competence (DICTE) project. (No. 1). https://ulir.ul.ie/handle/10344/7700
McGarr, O., Passy, R., Murray, J., & Liu, H. (2022). Continuity, change and challenge: Unearthing the (fr)agility of teacher education. Journal of Education for Teaching, 1–15. https://doi.org/10.1080/02607476.2022.2100249
Spante, M., Hashemi, S. S., Lundin, M., & Algers, A. (2018). Digital competence and digital literacy in higher education research: Systematic review of concept use. Cogent Education, 5(1), 1–1. https://doi.org/10.1080/2331186X.2018.1519143
Young, M., & Allais, S. M. (2016). Implementing national qualifications frameworks across five continents. Routledge.


16. ICT in Education and Training
Paper

Training in the Use of Digital Media of Teachers in Schools with Special Difficulties

Ana Cristina Blasco-Serrano, Natalia Sobradiel Sierra

Universidad de Zaragoza, Spain

Presenting Author: Blasco-Serrano, Ana Cristina

Today's society has experimented major changes due to the incorporation of digital technology into everyday life, especially in recent times, and schools have not remained oblivious to these changes (Barberá-Gregori and Suárez-Guerrero, 2021; Zhao et al., 2021). The inclusion of technological media does not replace non-digital media, but they can be a great complement to teaching strategies. In this framework, the inclusion of digital technology in initial teacher education is necessary (Delgado-García and Toscano, 2021). In addition, senior teachers need to renew their teaching practices to incorporate digital media, in an integral way, in the teaching/learning processes (Barberá-Gregori and Suárez-Guerrero, 2021; Cabero-Almenara and Palacios, 2020; Gudmundsdottir and Hatlevik, 2018). The DigCompEdu Report (Redecker, 2017) is the scientific reference framework guiding education and training policies in European Union countries.

In this context, the use of digital media is considered from a didactic-pedagogical perspective and in a professional educational context (Cabero-Almenara and Palacios, 2020) rather than from a technological point of view. So, teachers who are not proficient in ICT are at a disadvantage in many learning situations and areas compared to those who are, and there is a mismatch between teacher and student (Arenas, 2016). Being competent in the use of technology as a medium for the teaching/learning process entails a critical attitude in didactic planning and in the selection of digital resources in accordance with the context and the characteristics and needs of the students. It is necessary to focus on how the cultural, affective and spiritual aspects of individuals and groups interact with digital technology (Castañeda and Selwyn, 2018). Schools have to face the challenge of teaching in a society that is changing at dizzying speeds and, therefore, can no longer or should no longer reproduce the teaching practices of previous years and decades (Cabero-Almenara and Valencia-Ortiz, 2019; Engen, 2019). In this sense, digital technology makes it possible to address classroom diversity from an inclusive perspective, considering the different paces and levels of curricular competence of all students, enabling new learning scenarios and different opportunities for interaction (Cámara et al., 2017).

The inclusion of ICT in classrooms and educational centres implies that students are the protagonists of their development and learning process, which may sometimes require changes in attitudes and roles between teachers and students (Méndez and Delgado, 2016). Along the same lines, changes are necessary in relation to the didactic planning of the classroom and the organisation of the centre (Méndez and Delgado, 2016) from a critical perspective, reflecting on the why of the changes, why, how, how, who, where and when. In other words, the use of digital technology in the teaching-learning process implies a deep reflection on the teaching practice itself, as well as the context, culture and resources of the centre, promoting participation and interaction between students and teachers, without forgetting the families and the educational community (Méndez and Delgado, 2016; Vigo-Arrazola and Dieste-Gracia, 2019).

The general objective of our study is to find out about the training in the use of digital media of teachers in schools with special difficulties.

The specific objectives are:

  • To identify who organises the training received on digital media.

  • To describe the main thematic cores addressed in this training.

  • To find out the teachers' assessment of the training resources used to develop their educational practices with digital media.


Methodology, Methods, Research Instruments or Sources Used
This paper focuses on the first phase of a R+D+i research project "Challenging stigma. Creative and inclusive discourses and practices with digital media in schools of 'special complexity' (DesEi) (PID2020-112880RB-I00)", developed in Spain.This first phase is descriptive and transversal, from a quantitative methodological perspective.
An ad hoc questionnaire was designed to collect information, validated by experts in creative practices and digital media. The first part of the questionnaire collects the socio-demographic data of the respondents. The data is anonymous, respecting the ethical and data protection aspects of the participants. The second part of the questionnaire sets out a series of questions concerning four basic dimensions related to digital media: 1) the school and its resources, 2) the digital competence of teachers, 3) the organisation of the school, and 4) the teaching and learning processes.
The questionnaire was sent to schools considered to have special difficulties in all the Spanish regions, and we received replies from 126 of them. Thus, 212 pre-school and primary school teachers from schools categorised as particularly difficult throughout Spain took part in the study. The sampling carried out is incidental. 75.9% of the teachers were female, 21.2% were male and 2.8% preferred not to report this information. 6.6% (14) are between 20-30 years old, 26% (55) between 31-40 years old, 42% (89) between 41-50 years old, 22.6% (48) between 51-60 years old and 2.8% (6) are over 60 years old.
In terms of years of teaching experience 21.7% (46) had between 1-9 years, 37.3% (79) between 10-19 years, 28.7% (61) between 20-29 years and 12.3% (26) more than 30 years.
The participating teachers belong to cities with more than 10,000 inhabitants (40.6%), municipalities between 2000 and 10,000 (16.5%) and localities with less than 2000 inhabitants (42.9%).
Finally, for the statistical analysis, frequencies have been used to describe the qualitative variables of the study. The chi-square test and Spearman's correlation test were used to test the statistical significance of the relationship between variables. Statistical analyses were conducted using SPSS 26.0.

Conclusions, Expected Outcomes or Findings
Findings inform 96.3% of teachers have participated in training activities in relation to digital competence: 81.5% have received it at Teacher Training Centres and 56.9% at their own school. University is little considered as a training center (6%). This reinforces the importance of both initial and lifelong learning (Gudmundsdottir and Hatlevik, 2018).
Respecting the core themes of the training, the most common are the use of digital media as a communication tool (68.8%), for the creation, search and modification of curricular content (56%) and as a tool for management and organization (57.8%). Only 39% of teachers have received training to improve inclusion, and 31.2% to encourage students to make creative use of digital media. Just 36.2% of teachers have received training in use of digital technologies to improve assessment throughout the teaching-learning process. Thus, the importance of reflecting on one's own educational practice for inclusion and participation highlight  (Méndez and Delgado, 2016).
There is a significant relationship between gender and some thematic cores. Women have received more training in communication (ꭓ2=9.513; p<0.01), however, men receive more training about curriculum content creation (ꭓ2=9.362; p<0.01) and evaluation (ꭓ2=7.611; p<0.05).
Years of teaching experience show a negative correlation with some place of training, with school itself (-0.195; p=0.01) and at teacher training center (-0.186; p=0.01). We could conclude that teachers with more professional experience have had little training after university related to digital media. On the contrary, teachers with less teaching experience have been trained after initial training. This reinforces the need of inclusion of digital technology in initial teacher education (Delgado-García and Toscano, 2021) and the need of renewal of teaching practices to incorporate digital media (Barberá-Gregori and Suárez-Guerrero, 2021).

References
Arenas, C. (2017). ICT as pedagogical resources for an inclusive professor. Revista de Educación Inclusiva, 9(2). https://revistaeducacioninclusiva.es/index.php/REI/article/viewFile/53/48  
Barberà-Gregori, E. & Suárez-Guerrero (2021). Assessing Online Learning and the Digitalization of Assessment. RIED. Revista Iberoamericana de Educación, 24(2), 33-40. https://doi.org/10.5944/ried.24.2.30289
Cabero-Almenara, J. & Valencia-Ortiz, R. (2019). ITC for inclusion: a look from Latin America. Aula Abierta, 48(2), 139-146. https://doi.org/10.17811/rifie.48.2.2019.139-146
Cabero-Almenara, J. & Palacios-Rodríguez, A. (2020). Marco Europeo de Competencia Digital Docente «DigCompEdu». Traducción y adaptación del cuestionario «DigCompEdu Check-In». EDMETIC, 9(1), 213-234. https://doi.org/10.21071/edmetic.v9i1.12462
Cámara, Á.M., Díaz, Elena M. y Ortega-Tudela, J.M. (2017). Aprendizaje-Servicio en la universidad: ayudando a la escuela a atender a la diversidad a través de las TIC. Bordón, 69 (3), 73-87, DOI: 10.13042/Bordon.2017.51320
Castañeda, L. & Selwyn, N. (2018). More than tools? Making sense of the ongoing digitizations of higher education. Int J Educ Technol High Educ 15, 22, https://doi.org/10.1186/s41239-018-0109-y
Delgado-García, M. & Toscano, M.O. (2021). Construcción de la identidad profesional del futuro docente de Secundaria. Profesorado, Revista De Currículum Y Formación Del Profesorado, 25(1), 109-130. https://doi.org/10.30827/profesorado.v25i1.8372
Engen, B.K. (2019). Comprendiendo los aspectos culturales y sociales de las competencias digitales docentes. Comunicar: Revista científica iberoamericana de comunicación y educación, 61, 9-19.
Gudmundsdottir, G.B., & Hatlevik, O.E. (2018). Newly qualified teachers’ professional digital competence: implications for teacher education. European Journal of Teacher Education, 41(2), 214-231. https://doi.org/10.1080/02619768.2017.1416085
Méndez, J.M., & Delgado, M. (2016). Las TIC en centros de Educación Primaria y Secundaria de Andalucía. Un estudio de casos a partir de buenas prácticas. Digital Education Review, 134-165. https://doi.org/10.1344/der.2016.29.134-165
Redecker, C. & Punie, Y. (2017). Digital Competence of Educators: DigCompEdu. European Union. http://bit.ly/39yohbE  
Vigo-Arrazola, B. y Dieste-Gracia, B. (2019). Building virtual interaction spaces between family and school. Ethnography and Education, 14(2), 206-222. https://doi.org/10.1080/17457823.2018.1431950
Zhao, Y., Pinto, A.M., & Sánchez, M.C. (2021). Digital competence in higher education research: A systematic literature review, Computers & Education, 168, https://doi.org/10.1016/j.compedu.2021.104212


16. ICT in Education and Training
Paper

ICT Use In Classes And Professional Development Needs In Primary Schools

Ed Smeets

KBA Nijmegen, Netherlands, The

Presenting Author: Smeets, Ed

Information and Communication Technology (ICT) may fit into a spectrum of instructional approaches. There is an ongoing debate about pedagogical practices that provide an optimum basis for learning. Many educationalists have been promoting learner-centred learning environments which stimulate pupils to engage in active knowledge construction (Jonassen et al., 1999). Others have challenged this constructivist approach by pointing out that guided instruction is much more efficient and effective (Kirschner et al., 2006). Klahr and Nigam (2004) found that many more young children learned from direct instruction than from discovery learning. Cronjé (2006) and Aylward and Cronjé (2022) argued that constructivist approaches and behaviourist approaches to teaching and learning should not be regarded as opposite to each other, but should be considered as two dimensions that should be plotted as orthogonal, resulting in a four-quadrant matrix of learning paradigms. Apart from these paradigms, other topics are of interest with regard to the use of ICT in education, e.g. addressing ICT literacy (Wu et al., 2022), and the use of ICT in assessment.

At the teacher level, the teacher’s pedagogical competences are a significant predictor of the teacher’s use of ICT in education (Liu et al., 2017; Petko, 2012; Suárez-Rodríguez et al., 2018). Cheng et al. (2021) found that teachers’ competence beliefs moderated the effect of traditional pedagogical beliefs on technology integration.

Studies have shown that significant differences between schools may arise with respect to the nature and frequency of ICT use. Vanderlinde et al. (2014) found that 14 percent of the variance in ICT use by teachers was due to differences between schools, and pointed at teachers’ ICT competences, teachers’ developmental educational beliefs, ICT professional development, and the school’s ICT vision and policy as relevant factors at the school level. Inan and Lowther (2010) concluded that ICT integration by teachers is a complex process that is influenced by teacher characteristics as well as by the teachers’ perception of the school environment. Teachers’ beliefs and readiness appeared to be positively affected by three school-level factors: the availability of computers, technical support, and overall support. Chou et al. (2019) concluded that an organisation’s innovation climate is significantly related with innovative teaching using ICT. Eickelmann (2011) found that the role of the principal is crucial in schools that are successful in implementing ICT.

The focus of the present study is on ICT-related pedagogical practices in primary schools, on factors that influence these practices, on the expected future use of ICT in classes and on professional development needs, as perceived by teachers. In addition, school level factors are addressed. The research questions are as follows:

1) What types of ICT-related pedagogical practices are applied by teachers in primary schools?

2) What factors at the teacher level are linked to a high frequency of ICT use in classes?

3) What factors at the school level are linked to a high frequency of ICT use in classes?

4) What do teachers expect with respect to their future use of ICT in classes?

5) What are teachers’ professional development needs in order to be ready for future ICT use?


Methodology, Methods, Research Instruments or Sources Used
Web surveys were administered to teachers and to school leaders in The Netherlands. A call for participation was placed on the website of an organisation that supports school boards in primary education and on the website of a foundation that promotes and supports the use of ICT in education. School boards and schools were promised school-specific feedback if they participated in the study. School leaders were provided with school-specific web links to the surveys. The two datasets consist of survey data from 1542 teachers from 322 schools and 357 school leaders. In addition, a joint dataset was created in order to carry out multilevel analyses.

Likert scales were applied and factor analyses and reliability analyses were carried out in order to obtain reliable scale variables. Cronbach Alpha scores of all scales were sufficient, with ranges between .72 and .94 at the teacher level and between .67 and .92 at the school level.

In the teacher survey the following topics were addressed:
- background variables
- type and frequency of present and future ICT use in classes: 10 scales
- self-rating of ICT-related competences: 2 scales
- preconditions with respect to ICT use at school: 1 scale
- professional development needs with respect to future ICT use

With respect to the type and frequency of ICT use the following scales were constructed: Teacher directed ICT use, Learner centred ICT use, Preparing students for living and learning in a digital era, Use of digital learning materials, and Testing and assessment with ICT. In addition a ICT use index score was calculated with a potential range from 0 to 100. Based on the scores of the present use index, all teachers were attributed to a quartile.

In order to gain insight into the professional development needed to prepare teachers for the future, the discrepancy between the reported present use of ICT in classes and the expected future use was calculated in real time for all single items. Before completing the questionnaire, the teachers were presented with the 10 items that showed the largest discrepancies. Subsequently, they were asked whether they would need professional development regarding those specific ICT-related teaching activities.  

Variables in the school leader survey included some background variables and several scale variables: the scales regarding present and expected future use of ICT, the school leaders’ views on the ICT-related competences of the teachers, and their views on the preconditions with respect to ICT use at school.

Conclusions, Expected Outcomes or Findings
Overall, focus was on teacher directed ICT-related activities, and less on learner centred activities. This applies to teachers in all quartiles. There was a fair amount of attention for preparing students for living and learning in a digital era. The teachers’ self-rated ICT-related pedagogical competences accounted for 39% of the explained variance in the index of present ICT-use in classes. Differences between schools accounted for 21% variance.  

Based on teachers’ expectations the conclusion can be drawn that differences between teachers in the intensity of ICT use in classes will decrease in future. Teachers in the lower quartiles expected a larger increase than teachers in the higher quartiles. There were differences between teachers from different quartiles with respect to professional development needed to prepare them for future ICT use in education.

At the conference, more detailed outcomes will be presented, including outcomes of the multilevel analyses. Implications for school policy on ICT use in education and for teacher professional development will be discussed.

References
Aylward, R. C., & Cronjé, J. C. (2022). Paradigms extended: how to integrate behaviorism, constructivism, knowledge domain, and learner mastery in instructional design. Educational technology research and development, 70(2), 503-529.

Cheng, S. L., Chen, S. B., & Chang, J. C. (2021). Examining the multiplicative relationships between teachers’ competence, value and pedagogical beliefs about technology integration. British Journal of Educational Technology, 52(2), 734-750.

Chou, C. M., Shen, C. H., Hsiao, H. C., & Shen, T. C. (2019). Factors influencing teachers’ innovative teaching behaviour with information and communication technology (ICT): The mediator role of organisational innovation climate. Educational Psychology, 39(1), 65-85.

Cronjé, J. (2006). Paradigms regained: Toward integrating objectivism and constructivism in instructional design and the learning sciences. Educational technology research and development, 387-416.

Eickelmann, B. (2011). Supportive and hindering factors to a sustainable implementation of ICT in schools. Journal of Educational Research Online, 3, 75-103.

Inan, F.A., & Lowther, D.L. (2010). Factors affecting technology integration in K-12 classrooms: a path model. Educational Technology Research and Development, 58, 137–154.

Jonassen, D.H., Peck, K.L., & Wilson, B.G. (1999). Learning with technology: a constructivist perspective. Upper Saddle River, NJ: Merrill.

Liu, F., Ritzhaupt, A. D., Dawson, K., & Barron, A. E. (2017). Explaining technology integration in K-12 classrooms: A multilevel path analysis model. Educational Technology Research and Development,
65(4), 795–813.

Kirschner, P.A., Sweller, J., and Clark, R.E. (2006). Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching. Educational Psychologist, 41, 75-86.

Klahr, D., & Nigam, M. (2004). The equivalence of learning paths in early science instruction: Effects of direct instruction and discovery learning. Psychological Science, 15, 661–667.

Petko, D. (2012). Teachers’ pedagogical beliefs and their use of digital media in classrooms: Sharpening the focus of the ‘will, skill, tool’ model and integrating teachers’ constructivist orientations. Computers & Education, 58(4), 1351-1359.

Suárez-Rodríguez, J., Almerich, G., Orellana, N., & Díaz-García, I. (2018). A basic model of integration of ICT by teachers: competence and use. Educational technology research and development, 66, 1165-1187.

Vanderlinde, R., Aesaert, K., & Van Braak, J. (2014). Institutionalised ICT use in primary education: A multilevel analysis. Computers & Education, 72, 1-10.

Wu, D., Zhou, C., Li, Y., & Chen, M. (2022). Factors associated with teachers' competence to develop students’ information literacy: A multilevel approach. Computers & Education, 176, 104360.
 
5:15pm - 6:45pm16 SES 03 A: Digital Remote Education in Times of Covid-19
Location: Gilmorehill Halls (G12), 217A [Lower Ground]
Session Chair: Ed Smeets
Paper Session
 
16. ICT in Education and Training
Paper

Digital Transformation? A Longitudinal Interview Study on Teachers’ Acceptance and Usage of Digital Tools in Times of Covid-19

Olivia Wohlfart, Ingo Wagner

KIT, Germany

Presenting Author: Wohlfart, Olivia

The role of teachers in the digital transformation of education is recognized as a very important and complex holistic phenomenon (Ertmer & Ottenbreit-Leftwich, 2010; Wohlfart & Wagner, 2022). But which factors promote the lasting implementation of digital tools by teachers? Research shows that successful integration of existing or new digital tools depends on knowledge of and access to, as well as time to explore them (Tondeur et al., 2012). Teachers’ willingness and ability to integrate technology is also influenced by their attitudes or personal fears (Njiku, 2022; Wilson et al., 2020), and exposure to a student-centered constructivist pedagogical approach during teacher education can have a positive effect on digital literacy development and integration of digital tools in teaching practice (Chai et al., 2013). Contrary to the study results, we are far from an exhaustive integration of digital tools in formal education. The International Computer and Information Literacy Study 2018 (ICILS) shows that around 49 % of teachers used digital tools on a day-to-day basis and highlights considerable differences in the availability of technological infrastructure and conditions for professional learning across countries (Fraillon et al., 2019). With the outbreak of the Covid-19 pandemic in 2020, teachers no longer had the liberty to choose whether to incorporate digital tools into their teaching, as the circumstances made this inevitable (Wohlfart et al., 2021). Within the past three years, schools were forced to adapt and re-adapt to varying situations to fulfil their educational mission. Teachers are central in this environment and especially affected by this process of digital transformation, which makes their experiences particularly interesting and relevant. Current research, however, has often relied on one point of data collection. These studies therefore struggle in explaining individual dependencies in transformation processes. With our study, we aim to better understand how the past years have affected the experience with digital tools in the context of teaching. Analogously, we examine whether the Covid-19 pandemic has thereby led to a sustainable transformation of teachers’ acceptance and usage of digital tools.

Our study is based on an extended version of Davis’ (1986) widely accepted technology acceptance model (TAM). The core of the model consists of the variables perceived usefulness and perceived ease-of-use. In addition, the model describes the variable attitude towards using as a direct product of the former two variables in explaining user motivation for usage of a certain technology. Notwithstanding, these three core variables fail to fully explain the actual use of technologies. This is due to the influence of an array of external factors that determine user acceptance. Previous research has discussed and highlighted in detail the interaction and relevance of considering further external variables such as subjective standards (perception of how important the use of technology is to other people) or self-efficacy (one’s own ability to deal with technology) (Burton-Jones & Hubona, 2006; Lee et al., 2003). To gather a better understanding of the actual use of digital tools in teaching, we apply a refined TAM (Teo et al., 2008) as well as previous research to conduct and analyze longitudinal interviews with secondary schools’ teachers from Germany. Our study examines the following research questions:

How has teachers’ acceptance and usage of digital tools developed across time since the outbreak of the Covid-19 pandemic?

Which factors influence a lasting integration of digital tools in teaching?


Methodology, Methods, Research Instruments or Sources Used
To answer our research questions, we conducted a longitudinal interview study over three years in the federal state of Baden-Wuerttemberg, Germany. Here, the federal government suspended on-site school activities for nearly three months after the outbreak of the Covid-19 pandemic in March 2020, re-opening for smaller groups in mid-June of the same year. Teachers, meanwhile, were required to enable distance learning and therefore produce appropriate learning content and transmit this to students. The mutations of the virus over the course of the next years led to iterative restrictions of school life and parallel on-site and distance teaching and learning. With our study design, we wanted to capture specific situations and relevant changes without delay or falsification caused by the dynamics involved with remembered experience over time (Becker et al., 2002). Thus, we conducted three rounds of interviews with the same teachers at secondary schools in 2020, 2021 and 2022.
The first round of interviews in May and June of 2020 focused the experience which 15 teachers had with this unfamiliar situation. With a semi-structured interview guide, we asked the interviewees about their personal experiences with the adoption of digital tools in times of distance teaching. We followed up on these interviews with the same teachers in May and June of 2021 (n=12) and 2022 (n=10) respectively, interested in the personal development of the interviewed teachers and changes in the adoption of digital tools in face-to-face teaching over time. The 37 interviews lasted between 29 and 66 minutes, were audio-recorded, and transcribed – leading to a comprehensive database of about 400 pages of single-spaced transcribed text.
We performed an iterative qualitative content analysis on the 37 transcripts according to Mayring (2015) with deductive categories based on the literature review (e.g. perceived usefulness, tools applied, infrastructure, etc.) as well as inductive categories that emerged from the transcribed interview material (e.g. changes, classroom management, school development etc.). The first two rounds of qualitative data analysis resulted in 42 codes and 2.177 coded segments (status of 18.01.2023).

Conclusions, Expected Outcomes or Findings
The analysis of interviews from 2020 indicate contrary to previous literature, that Covid-19 as an external factor has a universal impact on all variables along the TAM and thereby positively and directly affects the acceptance and usage of digital tools in teaching. Furthermore, we identified three vital external factors: (1) regulations and specifications, (2) technological infrastructure and (3) the heterogeneity of students and teachers (Wohlfart et al. 2021). With the second collection of interviews, we wanted to better understand how teachers’ usage and acceptance of specific digital tools developed across time and experience. The findings highlight the development of user motivation of most teachers and while some inhibiting external factors remained (e.g. lack of infrastructure), others had been overcome (e.g. universal regulations/specifications). Overall, the acceptance and integration of digital tools increased over the first year. With the third round of interviews, we expect to find valuable information concerning lasting adaption of digital tools in face-to-face teaching and better understand why this may not be the case for all teachers. With this, we hope to derive lessons learned from this unique situation and conclude the pandemic to have been (at least in parts) a catalyst for digital transformation in education.
References
Becker, H., Berger, P., & Luckmann, …, Mills, T. (2002). Observation and Interviewing: Options and Choices in Qualitative Research. In T. May (Ed.), Qualitative Research in Action (pp. 200–224). SAGE Publications Ltd. https://doi.org/10.4135/9781849209656.n9
Burton-Jones, A., & Hubona, G. S. (2006). The mediation of external variables in the technology acceptance model. Information & Management, 43(6), 706–717. https://doi.org/10.1016/j.im.2006.03.007
Chai, C. S., Koh, J. H. L., & Tsai, C.‑C. (2013). A review of technological pedagogical content knowledge. Educational Technology & Society, 16(2), 31–51.
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results [PhD]. Massachusetts Institute of Technology, Cambridge, Mass. https://tinyurl.com/y5xgfetl
Ertmer, P. & Ottenbreit-Leftwich, A. (2010). Teacher technology change. Journal of Research on Technology in Education, 42(3), 255–284. https://doi.org/10.1080/15391523.2010.10782551
Fraillon, J., Ainley, J., Schulz, W. Friedman, T. & Duckworth, D. (2019). Preparing for life in a digital world – IEA International Computer and Information Literacy Study 2018 International Report. Springer. https://doi.org/10.1007/978-3-030-38781-5  
Granić, A., & Marangunić, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5), 2572–2593. https://doi.org/10.1111/bjet.12864
Lee, Y., Kozar, K. A., & Larsen, K. R.T. (2003). The Technology Acceptance Model: Past, Present, and Future. Communications of the Association for Information Systems, 12. https://doi.org/10.17705/1CAIS.01250
Mayring, P. (2015). Qualitative Inhaltsanalyse. Grundlagen und Techniken [Qualitative content analysis. Fundamentals and Techniques] (12th ed.). Weinheim: Beltz Verlag.
Njiku, J. (2022). Attitude and technological pedagogical and content knowledge: The reciprocal predictors? Journal of Research on Technology in Education. https://doi.org/10.1080/15391523.2022.2089409
Teo, T., Lee, C. B., & Chai, C. S. (2008). Understanding pre-service teachers’ computer attitudes: Applying and extending the technology acceptance model. Journal of Computer Assisted Learning, 24(2), 128–143. https://doi.org/10.1111/j.1365-2729.2007.00247.x
Tondeur, J., van Braak, J., Sang, G., Voogt, J., Fisser, P. & Ottenbreit-Leftwich, A. (2012). Preparing pre-service teachers to integrate technology in education: A synthesis of qualitative evidence. Computers & Education, 59(1), 134–144. https://doi.org/10.1016/j.compedu.2011.10.009
Wilson, M. L., Ritzhaupt, A. D., & Cheng, L. (2020). The impact of teacher education courses for technology integration on pre-service teacher knowledge: A meta-analysis study. Computers & Education, 156, 103941. https://doi.org/10.1016/j.compedu.2020.103941
Wohlfart, O., Trumler, T. & Wagner, I. (2021). The unique effects of Covid-19—A qualitative study of the factors that influence teachers’ acceptance and usage of digital tools. Education and Information Technologies, 26(6), 7359–7379. https://doi.org/10.1007/s10639-021-10574-4
Wohlfart, O. & Wagner, I. (2022). Teachers’ role in digitalizing education: an umbrella review. Educational technology research and development. https://doi.org/10.1007/s11423-022-10166-0


16. ICT in Education and Training
Paper

Development of Digital Competences Through the Academic Use of Digital Technologies During the Beginning and Ending of COVID-19 Lockdown

Cristian Cerda1, Miriam León1, José Luis Saiz1, Lorena Villegas2

1Universidad de La Frontera, Chile; 2Universidad Católica de Temuco, Chile

Presenting Author: Cerda, Cristian

Trying to define and label what people do with digital technologies has always been an interesting area to address. A literature review of this topic goes beyond the classic definition of digital natives proposed by Presky (2012), and it includes the work of Blank and Groselj (2014), who indicate that the use of Internet could be organized in three dimensions: amount of use, variety of different uses and types of use. The type or purpose of use is highly relevant nowadays due to the autonomous use of Internet available on laptops and smartphones. This is especially significant for student teachers, who as many other university students, take personal decisions about how to use technologies with several purposes, not only in activities related to learning and teaching (Cerda et al., 2022b).

The Chilean education system has a long tradition of integrating digital technologies in initial teacher education (Brun & Hinostroza, 2014). However, remote learning due to COVID-19 lockdown forced even more the adoption of digital technologies use. As in other countries, the commonly called “emergency remote teaching period” at higher education institutions represented, for professors and students, an immeasurable spent of energy in order to take concrete advantages of the potential that digital technologies offer (Sum & Oancea, 2022). The academic community demanded, from technology specialists, effective solutions to the challenge that remote teaching represented. Concerning student teachers, they had to deal with the enforced use of digital technologies for academic purposes in paralell with other personal purposes of uses of these tools.

Although the relevance of the topic, a few research has been done on understanding the implicit contribution in the development of digital competences during the emergency remote teaching period. Research of digital competences has mainly followed the development of generic digital competences (Carretero et al., 2017; Ferrari, 2013) and digital competences for educators (Redecker, 2017). In the case of student teachers, a few research has considered both frameworks (Reisoglu & Cebi, 2020). In Chile, several studies have replicated this trend, separating both frameworks, mainly due to the fact that not all the universities that deliver degrees in education have strong policies to explicitly promote computer literacy, general digital competences or digital competences for educators (Tapia et al., 2020).

The goal of this study is twofold. First, to compare the level of academic use of digital technologies between student teachers with limited experience in remote learning with those who spent four academic semesters learning in that academic environment. Second, to analyse the effect of interaction among variables related to academic digital competences (periods of measurement, sex, number of years in the student teacher program). The results of this study showed relevant information to better understand how the virtual learning experience supported the development of digital competences in student teachers during the COVID-19 lockdown.


Methodology, Methods, Research Instruments or Sources Used
A total number of 1,338 student teachers participated in this study (43.3% men and 56.6% women) divided in two periods of measurement. The first measurement considered 615 participants (35.9% men and 64.1% women) with limited experience in remote learning. It was taken during the first semester of the year 2020. The second measurement considered 723 students (49.7% men and 50.3% women), with almost two years experiencing remote learning. It was taken during the second semester of the year 2022. The emergency remote teaching period, due to COVID-19 lockdown, took place in Chile since March 2020 until December 2021 (four academic semesters).
The information was gathered using a 17 items scale about academic use of digital technologies. This instrument, which is part of the Scale of Purposes of Use and Digital Competences, measures frequently of use of digital technologies with academic, entertainment, social and economic purposes (Cerda et al., 2022a). The items for each purpose of use were based in the following five digital competences defined by DIGCOMP (Ferrari, 2013) A = Browsing, searching and filtering data, information and digital content; B = Managing data, information and digital content; C = Interacting through digital technologies; D = Sharing through digital technologies; E = Developing digital content.
Two strategies to collect data were used in this study. The information collected from the first measurement (in 2020) was obtained digitally through QuestionPro. The information collected from the second measurement (in 2022) was paper-based. In both cases, participants received information related to the objective of the study and the relevance of their voluntary participation. To participate, the student teachers had to read and sign an informed consent form approved by the university’s Scientific Ethics Committee.
Data analysis of the two measurements considered several steps. First, the collected information was examined in terms of accuracy of data entry and missing values. Second, after reaching adequate level of internal consistency, five variables were created considering the digital competences declared. Third, the variables were assessed in terms of normality, reviewing their level of skewness and kurtosis following the criteria (-1 to +1) suggested by Muthen and Kaplan (1985). Fourth, the independent t Student test was used to compare the two measurements within the five academic use variables. Finally, a MANOVA test was used to explore if there was a relationship between the measuring time periods and years in the program, and the measuring time and sex by the type of digital competences.

Conclusions, Expected Outcomes or Findings
Results from t Student tests showed differences in all the digital competences. Regarding Browsing, searching and filtering data, information and digital content, participants in 2022 got higher scores (M = 3.74, SD = 0.90) than the ones in 2020 (M = 3.50, SD = 0.99), t(1336) = -4.765, p < .001. Cohen’s d (-0.261). The same happened with others variables: Managing data, information and digital content (M = 3.74, SD = 0.96 versus M = 3.63, SD = 1.03), t(1336)= -2.014, p 0.04. Cohen’s d (-0.111), Interacting through digital technologies (M = 4.19, SD = 0.87 versus M = 391, SD = 1.05), t(1336)=-5.234, p < .001. Cohen’s d (-0.287), Sharing through digital technologies (M = 3.31, SD = 1.15 versus M = 2.90, SD = 1.17), t(1336)= -6.409, p < .001. Cohen’s d (-0.352) and Developing digital content (M = 3.30, SD = 1.10 versus M 2.85, SD = 1.13), t(1336)= -7.455, p < .001. Cohen’s d (-0.409). MANOVA test could not find any interaction effect among variables considered.
In conclusion, it can be stated that the emergency remote teaching period experienced for student teachers during four academic semesters allowed them to develop a few digital competences that can be used with academic purposes. Even though it is highly complicated to establish a cause-effect relationship among variables, the experience obtained for them during the remote teaching period might triggered new ways to use digital technologies for academic purposes. During this period, student teachers and professors did not receive any specific training in general digital competences or digital competences for teaching. All the strategies used were the result of personal initiatives implemented to experience an equivalent type of traditional on-site teaching. As Sum and Oancea (2022) establish, the scenario is not different to other contexts under similar circumstances.

References
Blank, G., & Groselj, D. (2014). Dimensions of Internet use: Amount, variety, and types. Information, Communication & Society, 17(4), 417-435. https://doi.org/10.1080/1369118X.2014.889189
Brun, M., & Hinostroza, J. E. (2014). Learning to become a teacher in the 21st century: ICT integration in initial teacher education in Chile. Educational Technology & Society, 17(3), 222-238. https://www.jstor.org/stable/jeductechsoci.17.3.222
Carretero, S., Vuorikari, R., & Punie, Y. (2017). DigComp 2.1: The Digital Competence Framework for Citizens with eight proficiency levels and examples of use (EUR 28558). https://ec.europa.eu/jrc
Cerda, C., León, M., Saiz, J. L., & Villegas, L. (2022a). Chilean student teachers’ purposes of use of digital technologies: Construction of a scale based on digital competences. Píxel-Bit. Revista de Medios y Educación, 64, 7-25. https://doi.org/10.12795/pixelbit.93212
Cerda, C., León, M., Saiz, J. L., & Villegas, L. (2022b). Relación entre propósitos de uso de competencias digitales y variables asociadas a estudiantes de pedagogía chilenos. Edutec. Revista Electrónica de Tecnología Educativa (82), 183-198. https://doi.org/10.21556/edutec.2022.82.2557
Ferrari, A. (2013). DIGCOMP: A framework for developing and understanding digital competence in Europe. Publications Office of the European Union. https://doi.org/10.2788/52966
Muthén, B., & Kaplan, D. (1985). A comparison of some methodologies for the factor analysis of non-normal Likert variables. British Journal of Mathematical and Statistical Psychology, 38(2), 171-189. https://doi.org/10.1111/j.2044-8317.1985.tb00832.x
Prensky, M. (2012). From digital natives to digital wisdom: Hopeful essays for 21st century learning. Corwin.
Redecker, C. (2017). European framework for the digital competence of educators: DigCompEdu. Publications Office. https://doi.org/doi/10.2760/159770
Reisoglu, I., & Cebi, A. (2020). How can the digital competences of pre-service teachers be developed? Examining a case study through the lens of DigComp and DigCompEdu. Computers & Education, 156, 16, Article 103940. https://doi.org/10.1016/j.compedu.2020.103940
Sum, M., & Oancea, A. (2022). The use of technology in higher education teaching by academics during the COVID-19 emergency remote teaching period: A systematic review. International Journal of Educational Technology in Higher Education, 19(1), 59. https://doi.org/10.1186/s41239-022-00364-4
Tapia, H., Campaña, K., & Castillo, R. (2020). Análisis comparativo de las asignaturas TIC en la formación inicial de profesores en Chile entre 2012 y 2018. Perspectiva Educacional, 59(1), 4-29. https://doi.org/10.4151/07189729-Vol.59-Iss.1-Art.963


16. ICT in Education and Training
Paper

Technology Commitment Profiles and Emotional State Among Pre-service Teachers During and Beyond the COVID-19 Related Emergency Remote Education

Frederick Johnson, Joanna Koßmann, Christoph Schneider, Lothar Müller

Trier University, Germany

Presenting Author: Johnson, Frederick

The accelerating rise and widespread adaptation of digital technology in private and business sectors has led to a European consensus in regards to the necessity of the regular integration of technology in educational settings in order to enhance learning in general and prepare students for a competent use of digital technology (Peña-López, 2015). Due to the COVID-19 pandemic, the process has been accelerated even more – especially in European regions (Helm, Huber & Loisinger, 2021). One coping strategy that was adapted broadly in most educational institutions in Europe and beyond was emergency remote teaching (ERT), which shifted presence learning to online learning (Bozkurt & Sharma, 2020). The implementation of ERT in European regions proved to be rather diverse, e.g., with Portugal even using their television channels to cope with the pandemic (Seabra et al., 2021). In higher education, this shift towards online learning has proven to be emotionally challenging for learners – especially for pre-service teachers, with technology attitudes as primary influences (Schneider et al., 2021).

Referring to the elaboration of Tellegen et al. (1999) on the Circumplex Model of Affect, in which positive activation comprises positively valued states such as “enthusiastic” and negative activation comprises negative valued states such as “distressed”, emotional challenge arises either due to a decline in positive activation or an incline in negative activation as changes in emotional state. On a behavioral level, positive activation entails approaching behavior and negative activation avoidant behavior (Watson, 1999). Provided that attitudes are dispositions to respond favorably or unfavorably towards something (Ajzen, 2005), technology attitudes are closely related to positive and negative activation in the context of using technology. Therefore, the emotional state after ERT and the perception of their study experience in the transition away from ERT is expected to change in a more positive or negative direction depending on the underlying attitudes.

A more general approach to a person’s relationship with technology is due to the construct technology commitment. Neyer et al. (2012) conceptualize technology commitment as three dimensional: technology acceptance (referring to the technology attitudes from the Technology Acceptance Model), technology competence (operationalized by the anxiety to use technology), and technology control (as in the specifically technology related locus of control construct). Extensive research across the globe shows that technology commitment predicts the use of technology (Scherer et al., 2019) and emotional state whilst frequently using it (Händel et al., 2020; Schneider et al., 2021). Recent research indicates that the relationship between technology commitment and emotional state differs between clusters of technology commitment for in-service teachers (Pozas et al., 2022). Thus, it remains to be examined if this also holds for pre-service teachers. In summary, the following research questions will be addressed in this contribution:

  1. What technology commitment profiles exist among pre-service teachers?
  2. How do their emotional states whilst and after ERT differ in comparison?

The main objective of the research to be presented is to understand the interplay between technology commitment, emotional state and the study perspective of pre-service teachers in order to provide proper grounds for European practitioners to properly support pre-service teachers throughout their course of studies in a digital world.

To examine the research questions and to contribute to the main objective, data from a cohort study design is used in which a sample of pre-service teachers is enrolled in a teacher education (TE) program in Rhineland-Palatinate (Germany) and monitored. The monitoring project (TrigiKOM’MON) started in 2019 and is ongoing for the observation of digital competences and attitudes over the course of their Bachelor of Education (approximate monitoring time frame of 2.5 years for each cohort).


Methodology, Methods, Research Instruments or Sources Used
The data contains cohorts that started in different stages of the pandemic from pre-pandemic to today. It consists of four measurements during the Bachelor’s program and will approximately cover a time period of about four years at the end of 2023.
Technology readiness data for examining the cluster structure (RQ1) included 969 student teachers having completed the respective scales near the end of their first year in TE. In this sample, proportion of females was 69.66%, mean age was 20.5 years (± 3.05). In examining RQ2, the subjects (N = 128) reported their emotional state on two occasions after their first year (summer term 2021 and winter term 2021/22; 71.9% female, 20.9 ± 1.4 years old).
Teachers’ technology commitment was measured using the according Technology Commitment Questionnaire (TCQ) from Neyer et al. (2012). The aforementioned subscales are operationalized as followed: technology acceptance (e. g., “I am very curious when it comes to new technology developments”; α = 0.83), technology competence (e. g., “I have often fear to fail when dealing with modern technology”; α = 0.85), and technology control (e. g., “It depends essentially on me whether I am successful using modern technology”; α = 0.72). All sub-scales are based on a 5-point Likert scale ranging from 1 = strongly disagree to 5 = strongly agree.
To assess teachers’ emotional state during and after ERT, the Positive and Negative Activation and Valence (PANAVA) short scales from Schallberger (2005) were administered: positive activation (PA; α = 0.76) and negative activation (NA; α = 0.65). The PA and NA comprise four bipolar items, respectively, rated on a 6-point Likert scale. Thus, the participants were asked to describe the experience of their current study situation within spectrums between different adjective pairs (e. g., “listless vs. motivated”).
To explore the first research question, a series of cluster analyses will be conducted on the TCQ subscales, beginning with applying a single-linkage clustering algorithm to identify and exclude outliers. Results from subsequent Ward’s method clustering will then be cross-validated by k-means clustering. The second and the third research question will be examined with two-way ANOVAs (IV = clusters and study progress; DV = change in experience and emotional state).

Conclusions, Expected Outcomes or Findings
Concerning the first research question, analyses are expected to yield three clusters in line with Pozas et al. (2022): (1) overall low to average technology commitment on all subscales; (2) mediocre technology commitment with technology competence as the highest subscale score; (3) overall high technology commitment on all subscales. If this pattern was to be found in TE, this might indicate an urgent need for interventions to help student teachers pertaining to cluster (1) to become motivated and competent in the use of technology. Furthermore, student teachers in cluster (2) are likely to overestimate themselves in their technology competence and thus are harder to identify for interventions that are also suited for cluster (1). Cluster (3) could serve as a potential resource for mentoring programs to facilitate Technology Commitment in clusters (1) and (2).
With regard to the second research question, the extrapolation of the results from Schneider et al. (2021) and Pozas et al. (2022) suggests that the pre-service teachers with higher Technology Commitment scores would be emotionally more resilient to the ERT circumstances and also recover faster from the negative impacts of ERT. For teacher education, this could imply that technology commitment is a worthy subject to facilitate as a factor for resilience concerning future ERT scenarios and future technological challenges in general. The results and their implications will be discussed with the aim to optimizer teacher education accordingly.
Additionally, at Trier University, there is a voluntary education program for pre-service teachers as an intervention which aims to prepare them for digital challenges. First post-measurements and thus results will be available and prepared as a basis to discuss approaches to support technology commitment.

References
Ajzen, I. (2005). Attitudes, personality, and behavior. Mapping social psychology. Open  
        University Press.
Bozkurt, A. & Sharma, R. C. (2020). Emergency remote teaching in a time of global crisis
        due to CoronaVirus pandemic. Asian Journal of Distance Education, 15, 1–6.
https://doi.org/10.5281/zenodo.3778083
Händel, M., Stephan, M., Gläser-Zikuda, M., Kopp, B., Bedenlier, S., & Ziegler, A. (2020).
        Digital readiness and its effects on higher education students’ socio-emotional
        perceptions in the context of COVID-19 pandemic. Journal of Research on
        Technology in Education, 54(2), 267–280.
https://doi.org/10.1080/15391523.2020.1846147
Helm, C., Huber, S., & Loisinger, T. (2021). Meta-Review on findings about teaching and
        learning in distance education during the Corona pandemic—evidence from
        Germany, Austria and Switzerland. Zeitschrift für Erziehungswissenschaft, 24(2),
        237–311.
Neyer, F. J., Felber, J., & Gebhardt, C. (2012, April). Entwicklung und Validierung einer
        Kurzskala zur Erfassung von Technikbereitschaft. Diagnostica, 58(2), 87–99.
https://doi.org/10.1026/0012-1924/a000067
Peña-López, I. (2015). Students, computers and learning: Making the connection. OECD
        Publishing.
Pozas M., Letzel-Alt V. & Schneider C. (2022). “The whole is greater than the sum of its
        parts” – Exploring teachers’ technology commitment profiles and its relation to their
        emotional state during COVID-19 emergency remote teaching. Frontiers in
        Education, 7:1045067.
https://doi.org/10.3389/feduc.2022.1045067
Scherer, R., Siddiq, F. & Tondeur, J. (2019). The technology acceptance model (TAM): A
        meta-analytic structural equation modeling approach to explaining teachers’
        adoption of digital technology in education. Computers & Education, 128, 13–35.
https://doi.org/10.1016/j.compedu.2018.09.009
Schneider, C., and Letzel, V. & Pozas, M. (2021). Die emotionale Befindlichkeit
        Lehramtsstudierender im pandemiebedingten Onlinestudium und die Rolle
        technikbezogener Einstellung und Motivation [the emotional experiences of student
        teachers in the COVID-19 pandemic online studies and the role of technology
        attitudes and motivation]. Teacher Education under Review, 14, 5–26.
Schallberger, U. (2005). Kurzskalen zur Erfassung der Positiven Aktivierung, Negativen
        Aktivierung und Valenz in experience sampling Studien (PANAVA-KS). Available at:
        http://www.psychologie.uzh.ch/institut/angehoerige/emeriti/schallberger/
        schallberger-pub/PANAVA_05.pdf (Accessed on January 31, 2023).
Seabra, F., Teixeira, A., Abelha, M. & Aires, L. Emergency Remote Teaching and
        Learning in Portugal: Preschool to Secondary School Teachers’ Perceptions.
        Education Sciences, 2021, 11, 349. https://doi.org/ 10.3390/educsci11070
Tellegen, A., Watson, D. & Clark, L. A. (1999). On the dimensional and hierarchical  
        structure of affect. Psychological Science, 10, 297–303.
https://doi.org/10.1111/1467-9280.00157
Watson, D., Wiese, D., Vaidya, J. & Tellegen, A. (1999). The two general activation  
        systems of affect: structural findings, evolutionary considerations, and
        psychobiological evidence. Journal of Personality and Social Psychology, 76(5),
        820–838.
        https://doi.org/10.1037/0022-3514.76.5.820
 
Date: Wednesday, 23/Aug/2023
9:00am - 10:30am16 SES 04 A: Blended Learning and the Classroom of the Future
Location: Gilmorehill Halls (G12), 217A [Lower Ground]
Session Chair: Alberto Sánchez-Rojo
Paper Session
 
16. ICT in Education and Training
Paper

Design and Evaluation of a Sustainable Blended Study Programme in Higher Education

Marieke Versteijlen1, Arjen Wals1, Bert van Wee2

1Wageningen University & Research, Netherlands, The; 2Delft University of Technology, Netherlands, The

Presenting Author: Versteijlen, Marieke

Higher Education (HE) has a key responsibility in addressing the grand sustainability challenges of our time and higher educational institutions (HEIs) are looking for ways to reduce their carbon footprints (Helmers et al, 2021) as well as taking measures for adaptation to mitigate the impact of natural disasters (Mackey et al., 2012). During the COVID-19 pandemic, most HEIs made a rapid transition to, so-called, emergency remote teaching (Marinoni et al., 2020). This transition revealed deficiencies in existing infrastructure and the availability of devices for online learning, and teacher training (Marinoni et al., 2020; UNESCO, 2021). The rapid transition to online learning showed the direction higher education (HE) can take to adapt and increase their resilience when confronted with disastrous situations (Mackey et al., 2012). A blended learning design, allowing for both on and offline forms of instruction and learning, not only provides opportunities to be resilient but has an additional positive spin-off in that it may also contribute to sustainability by lowering the carbon emissions of students commuting to campus (Versteijlen et al., 2017). According to Caird et al. (2015), distance-based HE teaching models (distance, online) achieve carbon reductions of 83 per cent in comparison with on-campus models (in-class, ICT-enhanced), largely due to student commuting.

When designing a blended learning configuration the considerations underlying a student’s decision to commute to campus should be considered. It seems that students make reasoned choices that depend on their attitude toward the learning activities they are supposed to attend in line with the Theory of Planned Behaviour (Ajzen & Madden, 1986; Versteijlen et al., 2021). During the COVID-19 pandemic, students experienced the transition implications to emergency remote teaching, probably affecting their attitude towards online learning and commuting to the HEI. Van Wee et al. (2019) assume that such a trigger may cause an attitude change in what students know (i.e. cognitive process), feel (i.e. affective process) or do (i.e. behavioural process).

While there seem to be benefits of blended learning in realizing both resilience and a lower carbon footprint, which many HEIs aspire to, a key assumption is that a blended learning study programme should maintain, or ideally improve, educational quality. Blended learning needs a pedagogical approach that acknowledges that blended learning is more than a fusion of online and in-class learning and teaching (Garrison & Vaughan, 2008; Laurillard, 2013). Nortvig et al.(2018) stated, that factors such as, “educator presence in online settings, interactions between students, teachers and content, and deliberate connections between online and offline activities and between campus-related and practice-related activities” (Nortvig et al., 2018, p. 53) are indicators for good education.

The objective of this research is to develop and evaluate pedagogical design principles for, what we will call, a sustainable blended learning study programme and to evaluate students' travel behaviour as a result. The term ‘sustainable’ points to an efficient educational organisation that reduces student commute to and from campus to two days per week while not compromising educational quality. Since government restrictions due to the COVID-19 pandemic changed the blend to mainly online education, we included in the objective the impact of COVID-19 restrictions on the student’s attitude regarding online learning and educational travel.

This objective is achieved by answering the following research questions:

RQ1. How did the design team experience developing a sustainable blended learning study programme?

RQ2. How do students and lecturers evaluate learning and teaching during the implementation of the blended learning design?

RQ3. What cognitive, affective and behavioural processes may cause an attitude change in students toward educational travel in the circumstance of a reduction of in-class activities?


Methodology, Methods, Research Instruments or Sources Used
The Educational Design Research (EDR) approach is chosen to study the development and implementation of sustainable blended learning and teaching. According to McKenney and Reeves (2018), EDR can be defined “as a genre of research in which the iterative development of solutions to practical and complex educational problems also provides the context for empirical investigation, which yields theoretical understanding that can inform the work of others” (McKenney & Reeves, 2018, p. 21). We chose this methodology because of its strong connection to educational practice, contributing to more practical relevance (Van den Akker et al., 2006).
We designed and evaluated one prototype of a sustainable blended learning unit. Our model contains three main stages (iterative and flexible) in which the knowledge stream leads to theoretical understanding and the practice stream to a maturing intervention. RQ1 is answered in the stage ‘Curriculum Design and Construction’, and RQ2 and RQ3 in the stage ‘Implementation and Reflection’.
In the first stage, Analysis and Exploration, it was decided to design an economic business minor at Avans University of Applied Sciences. The previous minor was outdated and the lecturers opted for a full redesign to a blended curriculum.  Initial design principles were developed based on two studies about student travel behaviour (Versteijlen et al., 2017; Versteijlen et al., 2021) and a literature review of blended learning.
In the second stage, Design and Construction, a team of eight educational practitioners with different backgrounds designed the minor from November 2019 to June 2020 in monthly sessions of approximately 6 hours. During this stage, the initial design principles were further developed in dialogue with the design team. In support of this team, each principle was supplemented with context, interventions (learning activities), mechanisms that may be triggered by the interventions mentioned, and potential outcomes (extracted from the scientific literature). The interventions were divided between on-campus and online activities. The design and construction stage was evaluated in June 2020 by interviewing three members of the design team.
In the third stage, Evaluation and Reflection, the blended minor, which started with 26 fourth-year students, has been evaluated among the minor students by a baseline and final measurement survey, and two focus groups. Afterwards, interviews were held with the three associated lecturers.

Conclusions, Expected Outcomes or Findings
The initial design principles evolved throughout the design process and resulted in principles with concrete implementation possibilities. These were used to check the design and inspired ideas for learning activities.
The lecturer’s workload model based on traditional face-to-face teaching complicated the estimation of load hours to be allocated to unscheduled online activities.
The minor was evaluated based on how teachers and students perceived the implementation according to the design principles. Some observations:
1. Aiming at self-regulation in a student’s learning process.
The students stated that they had no trouble managing their own time and appreciated studying anywhere and anytime. Still, the lecturers showed reservations about their students’ self-managing skills.
2. Fostering a sense of community.
Online team meetings created a sense of community for the students.
3. Facilitating interaction and discussion among fellow students and with the lecturer.
The lecturers did not stimulate asynchronous online discussions as a follow-up of in-class discussions due to a failing workload model.
4. Activating knowledge transfer.
The students appreciated the guest lectures from professionals and their research activities but were less satisfied with the workshops from fellow students.
5. Offering authentic, scaffolded and theory-based practice.
The students became intrinsically motivated by working on real-world issues and creating value for the stakeholders.
6. Collaborating for self-responsible and self-directed learning.
Working in a team stimulated students’ learning and the online meetings are experienced as productive.
The COVID-19 restrictions may have been a trigger for an attitude change of students toward educational travel. Experiencing advantages of online learning (e.g. time savings due to less travel and productive online meetings) may influence their motivation to attend classes if an online alternative is available. Also, an additional reason to choose a car appeared, namely, it is easier and less expensive to borrow a car (from parents) commuting occasionally.

References
Ajzen, I., & Madden, T. J. (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22(5), 453-474. doi:https://doi.org/10.1016/0022-1031(86)90045-4
Bliuc, A., Ellis, R. A., Goodyear, P., & Piggott, L. (2011). A blended learning approach to teaching foreign policy: Student experiences of learning through face-to-face and online discussion and their relationship to academic performance. Computers & Education, 56(3), 856-864.
Caird, S., Lane, A., Swithenby, E., Roy, R., Potter, S., 2015.  Design of higher education teaching models and carbon impacts. . International Journal of Sustainability in Higher Education 16, 96–111.
Garrison, D. R., & Vaughan, N. D. (2008). Blended learning in higher education: Framework, principles, and guidelines John Wiley & Sons.
Helmers, E., Chang, C.C. & Dauwels, J. Carbon footprinting of universities worldwide: Part I—objective comparison by standardized metrics. Environmental Sciences Europe 33, 30 (2021). https://doi.org/10.1186/s12302-021-00454-6.
Laurillard, D. (2013). Teaching as a design science: Building pedagogical patterns for learning and technology Routledge.
Mackey, J., Gilmore, F., Dabner, N., Breeze, D., & Buckley, P. (2012). Blended learning for academic resilience in times of disaster or crisis.
Marinoni, G., Van ’t Land, H., & Jensen, T. (2020). The impact of covid-19 on higher education around the world. IAU Global Survey Report,
McKenney, S., & Reeves, T. C. (2018). Conducting educational design research Routledge.
Nortvig, A., Petersen, A. K., & Balle, S. H. (2018). A literature review of the factors influencing E-learning and blended learning in relation to learning outcome, student satisfaction and engagement. Electronic Journal of E-Learning, 16(1), 46-55.
UNESCO. (2021). COVID-19: Reopening and reimagining universities. ().UNESCO. Retrieved from https://unesdoc.unesco.org/ark:/48223/pf0000378174
Van den Akker, J., Gravemeijer, K., McKenney, S., & Nieveen, N. (2006). Educational design research Routledge.
Van Wee, B., Witlox, F., 2021. COVID-19 and its long-term effects on activity participation and travel behaviour: A multiperspective view. Journal of Transport Geography 95, 103144.
Versteijlen, M., Salgado, F. P., Groesbeek, M. J., & Counotte, A. (2017). Pros and cons of online education as a measure to reduce carbon emissions in higher education in the Netherlands. Current Opinion in Environmental Sustainability, 28, 80-89.
Versteijlen, M., van Wee, B., & Wals, A. (2021). Exploring sustainable student travel behaviour in The Netherlands: balancing online and on-campus learning. International Journal of Sustainability in Higher Education, 22(8), 146-166.


16. ICT in Education and Training
Paper

Blended and Hybrid Learning in post-COVID Schooling - a Field-based Proposal for an Enhanced Taxonomy of Blended and Hybrid Learning

Björn Kröske, Anne-Madeleine Kraft, Thomas Koinzer, Heike Schaumburg, Anna Garcia Pincay, Lena Kühn

Humboldt-Universität zu Berlin, Germany

Presenting Author: Kröske, Björn; Kraft, Anne-Madeleine

During the COVID-19 pandemic, blended and hybrid learning have become significantly more relevant in everyday school settings (Lampert et al., 2021). It is still unclear whether this shift towards blended and hybrid learning forms is just an episode or if it is the starting point of an even more accelerated development towards digitalisation in education. It appears inevitable that educational research accompanies this shift towards blended and hybrid learning forms. However, the literature shows a lack of consensus as to what blended and hybrid learning mean (Hrastinski, 2019), resulting in difficulties concerning its examination.

In a few cases blended and hybrid learning can be clearly distinguished from each other. While Gil et al. (2022) describe hybrid learning as "face-to-face learning with access to online learning tools" (p. 13), according to Graham (2006) blended learning is defined as the combination of face-to-face instruction with computer-mediated instruction. But in most cases, these terms are used synonymously (Graham 2009; Watson 2008). The use of digital media not only plays a crucial role in the definition of these terms, but also in the organisation of different blended learning approaches as seen in the commonly used classification by Staker and Horn (2012). They distinguish between four models of blended learning depending on when and where phases of online learning are embedded in the instruction (rotation model, flex model, self-blend model and enriched-virtual model). These descriptions of what is referred to as "new traditional" (e.g. Ross & Gage, 2006, p. 167) draw a clear line between learning with and without digital tools. At the same time, researchers argue that such a separation along the above-mentioned lines is based on the simple use of (digital) technologies and should be overcome. Especially taking the evaluation of effects on learning outcomes into regard, they argue that it is not the use of digital technologies per se that should be considered decisive rather than the thoughtful prepared and practical carried out as well as theoretically founded instructional design should be focussed – despite whether and which technologies are used (Fawns, 2019).

While we agree that the differentiation between digital and non-digital forms of learning seems to be obsolete, considering that digital media is used frequently in everyday school, we think it is important to take a closer look at the structural changes they made possible. It is now clear that digital media and tools can significantly broaden the scope of spatial and temporal structures in learning as seen during the COVID-19 pandemic. Students no longer have to learn at the same time in the same place. Synchronous and asynchronous learning phases can be more easily combined using digital tools to meet the individual needs of the students. Therefore, in this paper, we present and discuss an enhanced model of blended and hybrid learning, that considers the digitally driven expansion of the learning time and space.


Methodology, Methods, Research Instruments or Sources Used
Based on the data of a Berlin school project, that assesses and evaluates the extension of legal possibilities concerning spatial and temporal restrictions in 18 compulsory schools, core elements for a category system should be identified. Drawing on their work and experience with learning during the COVID-19 pandemic, each school is developing and testing an individual, hands-on learning concept that considers the new legal possibilities as well as spatial, organisational, and technical requirements of their own school.
Structured interviews (n = 75) were conducted at each school between May and July 2022 with school principal, project management, teachers, and students. These interviews are analysed according to the learning concepts using content analysis, based on a combination of a deductive and inductive approach (Mayring, 2015).

Conclusions, Expected Outcomes or Findings
Three essential independent dimensions can be identified: learning time, learning space and learning subject matter. In combination with the characteristics "synchronous", "asynchronous" and "hybrid" (according to Wiepcke, 2006), these proved to be sufficient during the working process to allow a mapping and differentiation of the described learning settings. A dimension of lesson structure is classified as “synchronous”, if there is a uniformity for all students in a particular learning situation (e.g. the whole class is in the classroom). “Asynchronous” describes a dimension of a learning situation that is characterised by a diversity in the design of the individual dimensions while remaining independent of the others (e.g. every student attends classes via video conferencing from home). "Hybrid" comprises the combination of both characteristics, i.e. a learning situation in which one subgroup is offered synchronous learning in relation to one dimension and another subgroup is offered asynchronous learning in relation to the same dimension.
The learning settings that emerged from our data can be sufficiently mapped and differentiated in the above described taxonomy that allowes us to categorise the settings in a more differentiated way than previous taxonomies of blended and hybrid learning. For each combination of dimension and characteristic, at least one example for realisation can be found in our data.
Furthermore, these results show that it can be useful to draw attention away from the medium and its assessment when it comes to course design and learning outcomes (Fawns, 2019). At this point this is a proposition for a framework and further discussions and research is needed, e.g. examination of possible instructional design options for different combinations of setting characteristics. Further evaluation should examine which requirements the different learning settings bring along and which learning methods are suitable for which learning setting to consider content-related, motivational and didactical aspects adequately.

References
Fawns, T. (2019). Postdigital education in design and practice. Postdigital Science and Education, 1(1), 132–145. https://doi.org/10.1007/s42438-018-0021-8.
Gil, E., Mor, Y., Dimitriadis, Y., & Köppe, C. (2022). Hybrid learning spaces. Cham: Springer International.
Graham, C. R. (2006). Blended learning systems. The handbook of blended learning: Global perspectives, local designs, 1, 3-21.
Graham, C. R. (2009). Blended learning models. In Encyclopedia of Information Science and Technology, Second Edition (pp. 375-382). IGI Global.
Hrastinski, S. (2019). What do we mean by blended learning?. TechTrends, 63(5), 564-569.
Lampert, C., Thiel, K., & Güngör, B. (2021). Mediennutzung und Schule zur Zeit des ersten Lockdowns während der Covid-19-Pandemie 2020: Ergebnisse einer Online-Befragung von 10-bis 18-Jährigen in Deutschland (Vol. 53, p. 36). Verlag Hans-Bredow-Institut.
Mayring, Philipp (2015): Qualitative Inhaltsanalyse. Grundlagen und Techniken. 12th, revised edition. Beltz Verlag, Weinheim and Basel.
Ross, B., & Gage, K. (2006). Global perspectives on blended learning: Insight from WebCT and our customers in higher education. In C. J. Bonk & C. R. Graham (eds.), Handbook of blended learning: Global perspectives, local designs (pp. 155-168). San Francisco, CA: Pfeiffer.
Staker, H., & Horn, M. B. (2012). Classifying K-12 Blended Learning. Innosight Institute. https://www.proquest.com/reports/classifying-k-12-blended-learning/docview/1140138006/se-2.
UNESCO Institute for Statistics. (2012). International standard classification of education: ISCED 2011. Comparative Social Research, 30.
Watson, J. (2008). Blended learning: The convergence of online and face-to-face education. Promising Practices in Online Learning. North American Council for Online Learning.
Wiepcke, C. (2006). Computergestützte Lernkonzepte und deren evaluation in der Weiterbildung: Blended learning zur Förderung von Gender Mainstreaming. Hamburg: Kovac.


16. ICT in Education and Training
Paper

ICT and Learning Spaces. A Qualitative Study of the Classroom of the Future

Alberto Sánchez-Rojo1, Judith Martín-Lucas2

1Complutense University of Madrid, Spain; 2University of Salamanca, Spain

Presenting Author: Sánchez-Rojo, Alberto; Martín-Lucas, Judith

In the mid 80s, Apple launched the project called “Apple Classrooms for Tomorrow” (ACOT). The aim of this project was to study classrooms in which students and teachers had immediate access to computer technology. The main conclusion reached by this research was that these classrooms allowed students greater control and responsibility of their own learning (Fisher, 1989). This research tried to respond, through technology, to an educational need, hence the focus was on learning subjects and not on technology itself or the spaces in which it was introduced.

Forty years later, the outlook remains the same. In 2012, the consortium or European Education Ministries, European Schoolnet (2017), launched the Future Classroom Lab project, which, like the Apple project tries to adapt classrooms spaces to a more efficient way of learning. In other words, we have adapted the classrooms by focusing on the instrumental or didactic perspective of this technology. We have not considered that space and technology are neutral means whose effect on us depends exclusively on the use we make of them (Dowd & Green, 2019). But neither space nor technology are neutral, they demand certain behaviors from us regardless of how we use them (Sánchez-Rojo & Martín-Lucas, 2021).

For Heidegger human beings “do not dwell because we have built, but we build and we have built because we dwell, that is, because we are dwellers” (Heidegger, 1993, p.350). This means that our human condition impels us to dwell in spaces, make them our own, as it is in and through them that we develop our individual identity. When we make a space our own, we feel at home, protected, safe and let our guard down, which allows us to be guided by their demands.

The possibility of intimacy is what turns an educational space into a place and, at the same time, what allows its influence on the person in formation to be deep and real. That is why in recent years some authors demanded a recovery of what is genuinely pedagogical (Hodgson, et. al, 2017). In this sense they draw attention to the need to stop considering pedagogy as a means to achieve objectives imposed by external environments and educational spaces as extensions of the family home or anterooms of the labor market (Masschelein & Simons, 2013). Examples such as the so called place-based learning situate the school as an essential enclave within the local community (Vander Ark, et al., 2020). Also Colwell et al, (2016) highlights the importance of having special corners in the school so that children can create their own place in the classroom (Colwell, et al., 2016). However, it is becoming increasingly difficult to build spaces in an hyperconnected world where the space-time barrier has been broken by digital artifacts. Spaces are now tending to equalize more and more and, consequently, they are losing their singularity.

In line with the above, in the field of education there are those who have called digital classrooms commonly known as «classrooms of the future». These classrooms are configured by an open, flexible and reconfigurable hyperspace and a hypermedia context that makes it difficult to differentiate between online and offline (Fernández Enguita 2018; 2019). In this respect, this paper's main objective is to analyze, from a pedagogical point of view, the digitized and flexible classrooms that are gradually being used by more and more educational centers around the world and at all levels, in themselves; that is, leaving aside the didactic use that may or may not be made of them.


Methodology, Methods, Research Instruments or Sources Used
This paper presents the results of qualitative research (Mittenfelner & Ravich, 2016) focused on the image as the main source of documentation and analysis (Banks, 2010).  The study was based on the following research question: What is the classroom of the future like and what characteristics does it have? Are there differences between different classrooms of the future in different regions of the world? A convenience sampling was carried out according to type of classroom (Hyper-classrooms or Active Learning Classroom) and region criteria. A total of 41 different images of hyper-classrooms were selected, of whom 53.6% were University classrooms and 46.3% were primary schools’ classrooms in 5 regions and 19 countries. Initially, all data was analysed through the Nvivo 12, under an inductive category coding approach (Mittenfelner Carl & Ravitch, 2016; Packer, 2017). The system of categories was structured in two main categories: Shape and Expression of the classroom and material elements, and twenty sub-cathegories. Then, a study of the relationship between categories was carried out with Gephi 0.10.0 software.
Conclusions, Expected Outcomes or Findings
The results show that the “classroom of the future”, although it receives different names depending on the region where it is located, is the same no matter the region of the world we are in. These types of classrooms are always spacious, mobile, diverse and adjustable, precisely like the internet; this explains how this space has managed to combine the virtual, analogue and digital. Everything that takes place within the classroom’s physical setting can still be found in the virtual environment. Besides that, it seems that there is no room for teacher in the hyper-classroom, the computer and the projector take centre stage in the classroom, occupying the place the teacher once held. In short, a hyper-classroom not only refers to a new setting, but above all to a new educational model (Fernandez-Enguita, 2018) that meets the requirements of a society that is highly dependent on technological and digital devices.
The last decades we have been opening the classroom in architectural, material and technical terms, and this is nothing more than a symptom that, for a long time, education instead of responding to educational ends, has been left in the hands of economic, political or social ends, among others. That is why we agree with García del Dujo et al., (2021) that if there is one thing that is missing in the learning spaces, it is pedagogy.

References
Colwell, M. J., Gaines, K., Pearson, M., Corson, K., Wright, H. D. & Logan, B. J. (2016). Space, Place, and Privacy: Preschool Children’s Secret Hiding Places. Family and Consumer Sciences Research journal, 44(4), 412-421. https://doi.org/10.1111/fcsr.12169
European Schoolnet (2017). Future Classroom Lab. Courses and More. Retrieved from: http://www.eun.org/es/professional-development/future-classroom-lab
Dowd, H. & Green, P. (2019). Classroom Management in the Digital Age: Effective Practices for Technology-Rich Learning Spaces. Gypsy Heart Press.
Fisher, C. W. (1989). The Influence of High Computer Access on Student Empowerment [ACOT Report]. Apple Computer, Inc., Cupertino, CA. http://www.appleclassrooms.com/wp-content/uploads/2020/02/rpt-1-ACOT-1989-Software-Development-Through-ACOT-Teachers-Eyes.pdf
Fernández Enguita, M. (2018). La hiperaula como hiperespacio. Retrieved from: Cuaderno de campo website: https://blog.enguita.info/2018/12/la-hiperaula-comohiperespacio.html
Fernández Enguita, M. (2019). Del aula-huevera a la hiperaula. In: Fernandez Enguita, M. & Igelmo Zaldívar, J. El edificio de La Almudena de Ciudad Universitaria: la huella del pasado en tiempos de la hiperaula (pp. 5-15). FarenHouse.
García del Dujo, A., Vlieghe, J., Muñoz-Rodríguez, J. M. & Martín-Lucas, J. (2021). Thinking of the (theory of) education from the technology of our time. Teoría de la Educación, 33(2), 5-26. https://doi.org/10.14201/teri.25432
Heidegger, M. (1993). Building, Dwelling, Thinking. In: Farrell, D. (ed.) Basic Writings (pp. 343-364). Harper Perennial.
Hodgson, N., Vlieghe, J., & Zamojski, P. (2017). Manifesto for a post-critical pedagogy. Punctum Books.
Masschelein, J. & Simons, M. (2013). In Defense of School: A Public Issue. E-ducation, Culture & Society.
Mittenfelner Carl, N., y Ravitch, S. M. (2016). Qualitative research: bridging the conceptual, theoretical, and methodological. SAGE.
Packer, M. J. (2017). The science of qualitative research. Cambridge University Press.
Sánchez-Rojo, A. & Martín-Lucas, J. (2021). Education and TIC: between means and ends. A post-critical reflection. Educ. Soc, 42.  https://doi.org/10.1590/ES.239802
Vander Ark, T., Liebtag, E. & McClennen, N. (2020). The Power of Place: Authentic Learning Through Place-Based Education. ASCD.
 
1:30pm - 3:00pm16 SES 06 A: Teacher Education and ICT
Location: Gilmorehill Halls (G12), 217A [Lower Ground]
Session Chair: Olivia Wohlfart
Paper Session
 
16. ICT in Education and Training
Paper

Taking All Along in the Digital Transformation – a Typology of Cross Phase Communities of Practice in Teacher Education

Jan Niemann, Anna Raneck-Kuhlmann, Birgit Eickelmann, Kerstin Drossel, Heike M. Buhl

Paderborn University, Germany

Presenting Author: Niemann, Jan

The need for digital competence development of teachers, which goes hand in hand with digital transformation, among other things, requires the adaptation of existing conceptual approaches and their transfer to all phases of teacher education to foster teachers' digital competences in Europe. This leads to challenges in teacher education, which are also addressed in the "Digital Education Action Plan" (European Commission, 2020). One key goal of this action plan is to develop “digital skills and competences for the digital transformation” (ibid., p. 12).

To achieve this goal, digitisation-related resources such as MOOCs (Massive Open Online Courses), learning videos or digital training modules that are both theoretically sound and practice-oriented can be used in the context of (prospective) teachers' education and training. This approach has the advantage that digitisation-related competences of (prospective) teachers can be developed quickly and nationwide.

A profitable form of developing such digitisation-related resources can take place in cross-phase Communities of Practice (CoPs; van Ackeren et al., 2020) because the cooperation of representatives from diverse areas and phases of teacher education brings together different expertise. This contributes to the quality of the digitisation-related resources and possibly facilitates the transfer of the resources into the teacher education system by addressing the needs of school practice.

In general, transfer research has identified three main areas that are relevant for successful transfer: the characteristics of the learners, the characteristics of the learning situation, and the characteristics of the scope of application of the acquired knowledge (Baldwin, Ford & Prasad, 2018; Grossman & Salas, 2011). Central characteristics of the learners are their understanding of their role and their motivation to perceive the learning situation.

Among other things, this should be as close to reality as possible (ibid.) and is conditioned by the CoP work in the context examined here. Studies indicate that in general, learning from each other takes place in CoPs when there is a high degree of certain characteristics such as the diversity of the CoP members, the cohesion and group feeling, the quality of interaction and the free structuring of the CoP. Diversity refers to the composition of the CoP. If there is a high degree of diversity, the CoP members benefit from the different expertise. However, the basic prerequisite is a common basis of ideas so that compromises are possible in the CoP. With a high degree of cohesion, the openness in the CoP increases and the feeling of a group can also rise. With a high degree of interaction and the independent structuring of work, knowledge acquisition can also increase due to the possibility of adapting the structures to the needs of the group (Sagmeister, 2019; Henschel, 2001).

In addition, it requires the support of the organisations or institutions in which the new knowledge is to be applied, e.g., by creating situations in which this is made possible (Grossman & Salas, 2011).

These general assumptions that apply to transfer and CoPs have so far been studied mainly in the context of economic organizations. However, the context-specific determinants of teacher educators' transfer in cross-phase CoPs and whether there are different types of transfer in the context of teacher educators' CoP work remain unexplored. Based on the research context and data of the COMeIN project (Communities of Practice for Innovative Teacher Education) with more than 400 participants from all phases of teacher education, this contribution focuses therefore the following research questions:

1. To what extent can types of transfer be identified in the cross-phase CoP work of teacher educators?

2. Which determinants can contribute to the transfer success of digitisation-related resources into the teacher education system?


Methodology, Methods, Research Instruments or Sources Used
To answer the research questions, data from a qualitative online survey from the German project COMeIN (Communities of Practice for Innovative Teacher Education) are used, in which work is being done across phases in CoPs on the development of digitisation-related resources. Due to the objective of the project, the data is particularly suitable for answering the research questions. In the COMeIN project, more than 400 representatives from all three phases of teacher education in Germany (first phase: university studies; second phase: preparatory period for school teachers; third phase: in-service teacher training) work together in five subject-based and three interdisciplinary CoPs. The CoPs are staffed according to the subject expertise of the representatives of the different phases. The work of the CoPs is coordinated by so-called innovation position holders (N=16). In the summer of 2022 they were questioned in writing in an online survey on various topics, such as the status of work, conditions for success of the CoP work and cross-phase cooperation, the transfer between the different phases of teacher education in their CoP, conditions for successful transfer to teacher education and conditions for the sustainability of the project.
The collected data was evaluated by means of qualitative content analysis according to Kuckartz, on the basis of which a type formation was subsequently carried out (Creswell & Poth, 2018; Kuckartz & Rädiker, 2022). First, the material was coded using deductive and inductive categories (Kuckartz, 2014). The deductive categories were developed using a theoretically derived analysis model and the inductive categories were supplemented by the material. Both content structuring and evaluative categories were formed (Kuckartz, 2014). In accordance with the procedure explained by Kuckartz, the type-building was then carried out in five steps. Based on the research question, the attribute space that was used for the type-building was first defined. Then the individual cases were grouped together to form the typology. This was followed by a description of the typology and a subsequent allocation of the cases to the feature-homogeneous types formed. Finally, a relationships’ analysis was carried out with secondary variables to extract the determinants of successful transfer (Kuckartz, 2014).

Conclusions, Expected Outcomes or Findings
With the help of the qualitative content analysis, types of cross-phase transfer in CoPs of teacher education as well as determinants for successful transfer could be identified.
Two types of transfer emerge: unilateral transfer and cooperative transfer through cross-phase CoP work. Unilateral transfer is characterised by the fact that transfer between the phases of teacher education only takes place in one direction. In this case, the first phase of teacher education develops the digitisation-related resources, while the second and third phases participate only slightly or not at all in the CoP work.
Cooperative transfer can be divided into two subtypes. The division of transfer with divided responsibilities and the collaborative transfer. Transfer with devided resposibilities takes place between the phases. Here, the first phase of teacher education mainly develops the digitisation-related resources and the second and third phases participate in the form of advice and support in testing the resources. In the case of collaborative transfer, there is a two-way transfer between all phases of teacher education.
In addition to the types, determinants for successful transfer could be identified on three levels:
At the institutional level, the establishment of fixed structures such as permanent coordination and sufficient time resources are seen as relevant. In addition, the integration of research projects in the second and third phases and the adaptation of frameworks appear to be a determinant conducive to transfer. At the CoP level, work process structures such as highlighting the added value of cooperation for all phases appear to be particularly important. At the individual level, the motivation of the participants is relevant for the transfer. Overall, the stronger networking of the three teacher training phases appears to be a central overarching transfer determinant. The implications of these results will be discussed in the context of teacher education in Europe.

References
Creswell, J. W. & Poth, C. N. (2018). Qualitative inquiry and research design. Choosing among five approaches (4. ed.). Los Angeles, CA: SAGE.
European Commission (2020). Digital Education Action Plan 2021-2027. Resetting education and training for the digital age. Retrieved from: https://ec.europa.eu/education/sites/default/files/document-library-docs/deap-communication-sept2020_en.pdf
Henschel, A. (2001). Communities of Practice. Plattform für individuelles und kollektives Lernen sowie Wissenstransfer. Universität St. Gallen.
Kuckartz, U. & Rädiker, S. (2022). Qualitative Inhaltsanalyse. Methoden, Praxis, Computerunterstützung: Grundlagentexte Methoden (Grundlagentexte Methoden, 5. Auflage). Weinheim: Beltz Juventa.
Kuckartz, U. (2014). Qualitative text analysis. A guide to methods, practice & using software. London, England: SAGE.
Sagmeister, M. (2019). Situiertes Lernen: Informelles Lernen am Arbeitsplatz in der Community of Practice. In M. W. Fröse, B. Naake & M. Arnold (Hrsg.), Führung und Organisation (Perspektiven Sozialwirtschaft und Sozialmanagement, S. 417–432). Wiesbaden: Springer Fachmedien Wiesbaden.
van Ackeren, I., Buhl, H. M., Eickelmann, B., Heinrich, M. & Wolfswinkler, G. (2020). Digitalisierung in der Lehrerbildung durch Communities of Practice. Konzeption, Governance & Qualitätsmanagement des ComeIn-Verbundvorhabens in NRW. In K. Kaspar et al. (Hrsg.), Bildung, Schule und Digitalisierung (S. 321–326). Münster: Waxmann.
Grossman, R. & Salas, E. (2011). The transfer of training: what really matters. International Journal of Training and Development, 15(2), 103–120.
Ford, J. K., Baldwin, T. T. & Prasad, J. (2018). Transfer of Training: The Known and the Unknown. Annual Review of Organizational Psychology and Organizational Behavior, 5(1), 201–225. https://doi.org/10.1146/annurev-orgpsych-032117-104443


16. ICT in Education and Training
Paper

Media Didactical Considerations of Student Teachers in the Creation and Use of Digital Learning Material

Magdalena Buddeberg, Nadine Sonnenburg

TU Dortmund University, Germany

Presenting Author: Buddeberg, Magdalena

The use of digital learning material offers new possibilities for teaching and learning in schools: Learning content can be conveyed in different forms of presentation (text, video, audio, graphics) and can be made available to students throughout the learning process, facilitating self-paced learning (cf. e.g. Sánchez Moreno & Martínez, 2022). Compared to analog media, digital media offer more opportunities in self-learning phases to adapt the learning material to the learners (adaptivity) and more interactivity to stimulate students' own activity and to provide them with direct feedback (Köster, 2018). Thus, the findings of Spitzler and Musslick's (2021) study indicate, that digital learning environments can help teachers to support students adaptively (ibid.). Furthermore, digital media can support the implementation of alternative didactic concepts, such as the flipped classroom approach (e.g. Álvarez-García & Enríquez-Díaz, 2020).

However, the International Computer and Information Literacy Study (ICILS) shows that in Germany, digital media are used less frequently in the classroom than in other countries (IEA-ICILS; Fraillon, Ainley, Schulz, Friedman, & Duckworth, 2019). Yet, the use of digital learning materials presupposes that teachers have been appropriately prepared for it and possess the corresponding competencies (Eickelmann, Drossel & Heldt, 2021). According to the state of research, this is precisely where a glaring deficit lies in the context of teacher training in Germany: For example, a shortcoming is evident in the adequate training of teachers in this area, according to which only about a quarter of teachers in each case have learned how to use digital media (25.9%) or apply them in teaching (26.6%) as part of their training (ibid.) – however, these data refer to the situation before the COVID-19 pandemic. The COVID-19 pandemic caused a surge in digitization worldwide through the increased use of digital media in distance education (see, e.g., Sonnenburg & Hornberg, 2022), including Germany. At the same time, however, the pandemic also highlighted the lack of media competencies among teachers: One challenge that emerged were the different competencies and experiences of teachers who had to switch to (an almost) nationwide digital distance instruction unpreparedly (cf. in overview Sonnenburg, Buddeberg & Hornberg, 2022). Even though the study results show that younger teachers tended to be trained more in the area of digital media, indicating a gradual development of teacher education in Germany, there is still a considerable need for development (Eickelmann et al., 2021).

Particularly in the creation and use of digital learning materials, it is important that student teachers not only learn the technical skills to use digital media but receive support in the area of media didactic competence (see Blömeke, 2017). Appropriate learning opportunities are considered essential in teacher education for the acquisition of digital media competence in order to learn and practice the use of digital media in the classroom in a way that promotes learning (see e.g. Reintjes et al., 2021).

In order to teach student teachers both technical and didactic media competencies, we designed and implemented a teaching-learning concept for university teacher education. As part of this teaching-learning concept, student teachers create digital, interactive learning material themselves using the open source software H5P. They also test it in the role of the learner. This gives student teachers the opportunity to gain experience with digital interactive learning materials from both the teacher's and the learner's perspective. Based on this, the project presented here examines how student teachers can thereby be supported in dealing with media-didactic aspects in the creation and use of digital learning materials.


Methodology, Methods, Research Instruments or Sources Used
The teaching-learning concept was carried out in several semesters in the context of regular seminars. In summer semester 2022, it was used in the context of two master's seminars in the profession of education. The following questions were explored: How do the student teachers perceive their teaching and learning experience with digital, interactive learning material in the course?  And which media-didactic considerations regarding the design and use of digital learning materials are evident in the statements of the student teachers? These questions are addressed with a qualitative research approach. At the end of the course, semi-structured interviews were conducted with 12 students from these seminars. The sample consisted of master's students because they had already attended courses on general didactics in the bachelor's program and they also had initial experience in school practice through internships.  The interview guide includes questions on didactic considerations and the support provided by the self-study course we developed, the students' own learning experiences with interactive learning material, advantages, potentials, disadvantages and limitations as well as on the use of digital interactive learning material in school. The interviews were analyzed using qualitative content analysis, which is a well-known procedure to evaluate qualitative data by being transparent and by following strict rules. According to the standards of the qualitative content analysis, a guideline to code the interviews was created (Kuckartz, 2016; Mayring, 2014). Subsequently, in the second step of the analysis, the relevant text passages of the interviews were assigned to categories using the software MAXQDA. The interviews were coded by two coders. By doing so, the various text passages of the different interviews were analyzed in a summary. The categories were created in a deductive-inductive way: First, deductive categories were formed based on the scientific discourse. These were then used to analyze the data material. In the course of the analyses, additional inductive categories were added from the data material. This procedure makes it possible both to tie in with previous scientific findings and to generate new findings from the data.  
Conclusions, Expected Outcomes or Findings
Initial results show that students reflect on the use of digital media in the classroom from a learner and teacher perspective based on the experience they had in the seminar. From the learner's perspective, they report the benefits of digital interactive learning materials such as learning at one's own pace, more intensive learning experiences, increased motivation due to increased self-activity, and a higher perceived learning success compared to analog learning with texts. From the perspective of a prospective teacher, the students' statements in the interviews show that the good design of interactive learning material is discussed as a prerequisite for greater learning success among the learners, the importance of cooperation between teachers in the joint design and use of digital interactive learning material is mentioned, and the importance of the continued need for personal learning support for learners by  teachers is reflected. The initial results thus provide indications that the teaching-learning concept presented here and the process-accompanying integration into regular seminars can promote technical as well as media-didactic competencies among students in the design of digitally supported learning material. On the basis of further findings, this paper identifies and discusses possibilities for implementing the teaching of media competencies to student teachers as a cross-sectional task in regular courses. Thus, this is not only a contribution for teacher education in Germany but the findings are equally relevant for other European and non-European countries.
References
Álvarez-García, B. & Enríquez-Díaz, J. (2020). Computer-based feedback to foster self-regulated learning in a blended learning environment: An experience in the financial area. In L. Daniela (Ed.), Pedagogies of Digital Learning in Higher Education (pp. 18–41). London: Routledge. https://doi.org/10.4324/9781003019466-2

Blömeke, S. (2017). Erwerb medienpädagogischer Kompetenz in der Lehrerausbildung. Modell der Zielqualifikation, Lernvoraussetzungen der Studierenden und Folgerungen für Struktur und Inhalte des medienpädagogischen Lehramtsstudiums. Medien-Pädagogik. Zeitschrift für Theorie und Praxis der Medienbildung, 3, 231–244. https://doi.org/10.21240/mpaed/retro/2017.07.13.X

Eickelmann, B., Drossel, K. & Heldt, M. (2021). ICT in teacher education and ICT-related teacher professional development in Germany. In J. Chi-Kin Lee & T. Ehmke (Ed.), Quality in Teacher Education and Professional Development: Chinese and German Perspectives (pp. 107–124). Abington: Routledge.
Fraillon, J., Ainley, J., Schulz, W., Friedman, T., & Duckworth, D. (2019). Preparing for Life in a Digital World: IEA International Computer and Information Literacy Study 2018 International Report. Amsterdam: IEA.

Köster, J. (2018). Video in the Age of Digital Learning. Cham: Springer. https://doi.org/10.1007/978-3-319-93937-7_6

Kuckartz, U. (2016). Qualitative Inhaltsanalyse. Methoden, Praxis, Computerunterstützung. Weinheim: Beltz Juventa.

Mayring, P. (2014). Qualitative content analysis: theoretical foundation, basic procedures and software solution. Klagenfurt: Beltz. URN: http://nbn-resolving.de/urn:nbn:de:0168-ssoar-395173

Reintjes, C., Porsch, R., Görich, K., Gollup, P., Paulus, D. & Veber, M. (2021). Medienbildung in der Lehrer*innenbildung - Kohärenz der intendierten, implementierten und erreichten Curricula? In C. Reintjes, T.-S. Idel, G. Bellenberg & K. V. Thönes (Ed.), Schulpraktische Studien und Professionalisierung: Kohärenzambitionen und alternative Zugänge zum Lehrberuf (pp. 163–187). Münster: Waxmann.

Sánchez Moreno, M. & Martín Martínez, A. (2022). Analysis of the Flipped Classroom Model as a Proposal for Teaching Innovation. Journal of Higher Education Theory and Practice, 22(10), 30–37. https://doi.org/10.33423/jhetp.v22i10.5385

Spitzer, M. & Musslick, S. (2021). Academic performance of K-12 students in an online-learning environment for mathematics increased during the shutdown of schools in wake of the Covid-19 pandemic. PLoS ONE, 16(8), 1–16. https://doi.org/10.1371/journal. pone.0255629

Sonnenburg, N. & Hornberg, S. (2022). A global perspective on schooling in the COVID-19 pandemic era. Tertium Comparationis – Journal for International Comparative and Multicultural Education, 28(3), 241–249. https:doi.org/10.31244.tc.2022.03.01

Sonnenburg, N., Buddeberg, M. & Hornberg, S. (2022). The school system in Germany in times of the pandemic. Tertium Comparationis – Journal for International Comparative and Multicultural Education, 28(3), 332–355. https:doi.org/10.31244.tc.2022.03.05
 
3:30pm - 5:00pm16 SES 07 A: Student Activity in Online Environments
Location: Gilmorehill Halls (G12), 217A [Lower Ground]
Session Chair: Oliver McGarr
Paper Session
 
16. ICT in Education and Training
Paper

What Drives You to be Active in MOOC Discussion Forums? The Relationship Between Motivation, Social Interaction, and Cognitive Engagement

Xiaomei Wei1, Nadira Saab1, Wilfried Admiraal2

1Leiden University, Netherlands, The; 2Oslo Metropolitan University, Norway

Presenting Author: Wei, Xiaomei

1. Background /problem statement

MOOC discussion forums create a collaborative community where knowledge construction and knowledge sharing can occur. In discussion forums, being engaged in the textual dialogue is essential for MOOC learners to better knowledge and skills acquisition. A growing body of studies probs learner engagement by using learning analytics to extract the trace data in discussion forums. Some studies have examined the total number of forum views and posts (e.g., Khalil & Ebner, 2017; Sunar et al., 2020) as the learning engagement indices in discussion forums. The quantified learning engagement revealed insightful information on learners’ behavioral participation in discussion forums. However, to gain insight into how knowledge construction takes place, it is not enough if we solely pay attention to how frequently learners engage in discussion forums. For this aim, it is necessary to examine learners’ cognitive engagement in dialogues in discussion forums from a content-wise perspective.

Previous studies confirmed that motivation was a strong factor that influenced learners’ learning in MOOCs (Badali et al., 2022). The participation of both non-completers and completers implies that MOOC learners with different motivations for attending a course might vary in investing effort in their learning, and individual motivation might lead to pursuing different attainments. Motivation is a vital factor that should be considered when exploring the mechanism of individual effort investment in discussion forums. Furthermore, in discussion forums, the development of dialogues is an ongoing collaborative work among fellow learners. Social interaction in discussion forums builds up the processes of collaborative learning and position individual in networks of meaning-making and knowledge-building (Dowell et al., 2015). Considering the individual role in social interaction, it might be helpful to understand the mechanism of knowledge construction and sharing. Therefore, this study connects motivation and social interaction to cognitive engagement would contribute to the knowledge of what rationales drive individuals to be engaged or disengaged in MOOC discussion forums.

2. Theoretical framework

1. Chi and Wylie (2014) developed the interactive, constructive, active, and passive (ICAP) framework, for evaluating the modes of cognitive engagement based on contributions within online learning communities, which reflects knowledge construction levels in learning processes.

2. Motivation is defined as the impetus to activate a person toward performing a behavior or actions (Ryan & Deci, 2000). Intrinsic motivation and extrinsic motivation indicate that individuals are mobilized to act by distinct motivational orientations ranging from internalization to behavioral regulation (Deci & Ryan, 1985a). Individuals who have shared motivation orientation can be characterized into different learner profiles of motivation namely autonomous, controlled, and combined motivation (Ratelle et al., 2007). Motivation is a positive factor that drives learners to be engaged in discussion forums. For example, Tang et al. (2018) discovered that learners with autonomous motivation performed well than others in their longitudinal forum engagement.

3. Social networking analysis offers a perspective to identify social interaction patterns (i.e., centrality, and prestige) based on learners’ position (Wasserman & Faust, 1994) in the knowledge network, which manifests the degree of individual contribution to the cognitive discourse in discussion forums. Positive social interaction can moderate learners’ cognitive engagement in discussion forums (e.g., Galikyan et al., 2021).

3. Research questions

Aiming at acquiring precise knowledge, research questions were proposed to be addressed as follows:

RQ1: What modes of cognitive engagement characterize the co-construction of knowledge in MOOC discussion forums?

RQ2: How are motivation and social interaction related to different modes of cognitive engagement in MOOC discussion forums?

RQ3: How does social interaction influence the relationships between motivation and different modes of cognitive engagement in MOOC discussion forums?


Methodology, Methods, Research Instruments or Sources Used
1. Data
This study will be conducted on the data from the Circular Economy: An Introduction offered by a Dutch research university on the platform of edX. The data in this study came from the three runs of this course in 2021. The MOOC data composes of demographic information (e.g., gender, age), pre-survey, log events, discussion forum logs, etc. In total, there were 8299 learners enrolled in the course, and 981 learners passed the course. There were 2432 learners who gave their responses to the pre-test survey, and 723 of these learners posted in the discussion forums. There were 17540 comments posted to 834 forum comment threads, from 2207 learners.

2. Measuring instruments
2.1. Cognitive engagement
The content of the discussion forums will be analyzed utilizing the coding instrument developed by Wang et al. (2015). All the posts in the discussion forums will be coded and categorized into passive, active, constructive, and interactive to manifest the modes of cognitive engagement.  
2.2. Motivation
The qualitative data on motivation was gathered from the open questions in the pre-survey. A motivation coding scheme developed by (Wei et al., 2023) will be utilized to cluster learners into different types of motivation groups: autonomous motivation, controlled motivation, and combined motivation.  
2.3. Social interaction
Social interaction will be measured by social network measures namely centrality and prestige (Wasserman & Faust, 1994). Based on learners’ contributions to the cognitive discourse in the discussion forums, social interaction aims to locate learners in the knowledge-sharing network.

3. Data analysis
To answer RQ1, a content analysis (Hsieh & Shannon, 2005) will be adopted to distinguish the modes of cognitive engagement using the coding instrument developed by Wang et al. (2015). Descriptive statistics will be used for demonstrating the cognitive engagement modes.
To answer RQ2, firstly, a content analysis (Hsieh & Shannon, 2005) will be employed to identify the types of motivation in terms of autonomous motivation, controlled motivation, and combined motivation (Deci & Ryan, 1985b). Second, a social network analysis (Wasserman & Faust, 1994) will be carried out to identify social interaction patterns among learners. Third, a multiple regression analysis will be adopted with SPSS 27.0 to examine the effects of motivation and social interaction on cognitive engagement.
To answer RQ3, a moderating analysis (Preacher & Hayes, 2008) will be conducted with PROCESS v3.5 to examine the effect of social interaction on the relationship between motivation and cognitive engagement.

Conclusions, Expected Outcomes or Findings
Expected outcomes:
1. The content analysis of the task-related messages in discussion forums will identify the modes of cognitive engagement (i.e., interactive, constructive, active, and passive). The descriptive statistics will display the results in total (7 weeks) and the distribution of weekly results.
2. Learners who attended this MOOC for various reasons will be categorized, for instance, personal interest, earning credits, teacher’s requirements, to supplement knowledge, personal interest & earning credits, etc. Three motivational profiles for participation in MOOCs will be identified, namely autonomous motivation, controlled motivation, and combined motivation. Learners’ motivation might be significantly and positively related to cognitive engagement, and learners with autonomous motivation might be more positively engaged in the discussion forums than other counterparts. Concerning social interaction, based on learners’ contributions to the dialogs, their social interaction patterns (i.e., centrality, and prestige) will be visualized in the social network. Social interaction might positively influence learners to be engaged in discussion forums, and learners located in the central positions (i.e., centrality) of the social network might be more positively engaged in discussion forums.
3. The moderating roles of centrality and prestige in the relationship between motivation and cognitive engagement will be examined. The centrality and prestige might be significant moderators of the relationship between motivation and cognitive engagement. The moderating effects of centrality and prestige on different modes of cognitive engagement will be further identified.
4. Based on the main findings of this study, we will offer theoretical implications to the literature and practical implications for MOOC curriculum designers and instructors.

References
Badali, M., Hatami, J., Banihashem, S. K., Rahimi, E., Noroozi, O., & Eslami, Z. (2022). The role of motivation in MOOCs’ retention rates: a systematic literature review. Research and Practice in Technology Enhanced Learning, 17(1), 1-20.
Chi, M. T., & Wylie, R. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational psychologist, 49(4), 219-243.
Deci, E. L., & Ryan, R. M. (1985a). Intrinsic motivation and self-determination in human behaviour. New York: Plenum Publishing Co.
Deci, E. L., & Ryan, R. M. (1985b). Motivation and self-determination in human behavior. New York: Plenum Publishing Co.
Galikyan, I., Admiraal, W., & Kester, L. (2021). MOOC discussion forums: The interplay of the cognitive and the social. Computers & Education, 165, 104133.
Hsieh, H.-F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative health research, 15(9), 1277-1288.
Khalil, M., & Ebner, M. (2017). Clustering patterns of engagement in Massive Open Online Courses (MOOCs): the use of learning analytics to reveal student categories. Journal of computing in higher education, 29(1), 114-132.
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior research methods, 40(3), 879-891.
Ratelle, C. F., Guay, F., Vallerand, R. J., Larose, S., & Senécal, C. (2007). Autonomous, controlled, and amotivated types of academic motivation: A person-oriented analysis. Journal of educational psychology, 99(4), 734-746.
Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54-67.
Sunar, A. S., Abbasi, R. A., Davis, H. C., White, S., & Aljohani, N. R. (2020). Modelling MOOC learners' social behaviours. Computers in Human Behavior, 107, 105835.
Tang, H., Xing, W., & Pei, B. (2018). Exploring the temporal dimension of forum participation in MOOCs. Distance Education, 39(3), 353-372.
Wang, X., Yang, D., Wen, M., Koedinger, K., & Rosé, C. P. (2015, June). Investigating How Student's Cognitive Behavior in MOOC Discussion Forums Affect Learning Gains. In International Educational Data Mining Society. Madrid, Spain.
Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge: Cambridge University Press.
Wei, X., Saab, N., & Admiraal, W. (2023). Do learners share the same perceived learning outcomes in MOOCs? Identifying the role of motivation, perceived learning support, learning engagement, and self-regulated learning strategies. The Internet and Higher Education, 56, 100880.


16. ICT in Education and Training
Paper

Student Collaboration in a Virtual World: By-passing the Intimacy of Video-Based Interactions

Tonje Hilde Giaever1, Bård Ketil Engen1, Cleary Yvonne2, Slattery Darina2

1Oslo Metropolitan University, Norway; 2University of Limerick, Ireland

Presenting Author: Giaever, Tonje Hilde; Engen, Bård Ketil

There has been a growing interest and awareness in using online technologies to support teaching and learning activities within higher education. While the Covid 19 pandemic, and the subsequent shut down of society, offers one explanation for this growing interest among educators, this increasing interest could also be an outcome of the proliferation of education technologies now available. Online video conference systems have become popular tools for organising both online synchronous teaching as well as hybrid teaching activities. Video conference systems designed for education share some common features and prerequisites for mediating interactions between participants—besides the webcam and microphone, these systems can offer built in support for text chat, whiteboards, and breakout rooms and include awareness and turn-taking functions such as raised hands, emojis, polls, etc. Nevertheless, it is the video and sound that offers the main media for interactions.

Unlike traditional physical teaching on campus, interactions in a video-based teaching situation are characterised by being two-dimensional (2D). Both teachers and students are represented flat on a computer screen where everyone appears as equal regardless of their role. In this context, students do not have options to choose seats in the back but are always placed in the “front row”. On the one hand, it could be argued that this situation creates a space where students are more active and engaged in classroom activities; on the other hand, one could question whether this way of organising teaching puts more focus on personal attributes and creating asymmetrical relations among the participants.

As an alternative to video conference systems, there has been some interest among educators in using 3D-based Multiuser Virtual Environments (MUVE) to facilitate online synchronous teaching activities. In a MUVE, all participants are represented by avatars that they can customize according to their preferences (e.g. gender, clothing, skin colour, hair, age, etc.). MUVEs in education have been used across a variety of subjects and contexts (see for example, Barab et al., 2005; Englund, 2017; Pasfield-Neofitou et al., 2015; Wang & Burton, 2013). In teacher education, MUVE has been used to facilitate role-play instructions (Vasileiou & Paraskeva, 2010), as well as problem-based learning (Mørch et al., 2016).

This paper examines the potential benefits of using a Multi-User Virtual Environment (MUVE) for student collaboration. The study was conducted in two courses: a 15-credit bachelor course in Distributed Collaborative Learning in teacher education at Oslo Metropolitan University and a 3-credit MA course in Learning and Collaboration Technologies at the University of Limerick, both using Open Simulator. For a period of three weeks, Irish and Norwegian students collaborated on a project within the MUVE. The project started with an introductory lecture on Open Simulator and ended with a student presentation of each group’s work. Both courses were entirely online, and the student groups were already familiar with video-based online courses but had little to no experience of MUVE-based teaching and learning environments.

The purpose of this paper is to explore if a Multi-User Virtual Environment (MUVE) enhances or diminishes nonverbal communication opportunities compared to video-based (non-avatar) interactions. Additionally, we will examine if being represented as an avatar in a MUVE shifts the focus away from personal characteristics and increases focus on the subject matter during communication among students.


Methodology, Methods, Research Instruments or Sources Used
The contextual framework for this study is a 3D-based virtual campus, where students and teachers were represented as avatars interacting with each other. In this case study, the virtual environment was designed like a university campus.

The methodologies employed in this study involve a qualitative research analysis using virtual ethnography (Hetland & Mørch, 2016; Hine, 2015) of student activities taking place in a virtual world. All sessions were observed and recorded at a distance in the virtual world using screen capture software. The observations were followed up using qualitative interviews with selected students and evaluating excerpts from blogs.  The interviews focused on their experiences of interaction in the virtual environment both as individuals and as part of a group. Students were also involved as co-interpreters of selected parts of the recordings. In our selection for data sample, we concentrated on scenarios where students worked in groups to share ideas and organise their work. These tasks included information sharing and negotiations for establishing shared understandings of the tasks.

Conclusions, Expected Outcomes or Findings
Preliminary findings suggest that a shared virtual environment and avatar representations of teachers and students results in a decreased focus on individual attributes and an increased focus on the subject matter of study. Results from this study could be of interest to other universities engaged in developing and facilitating online synchronous teaching and student collaboration. Indeed, the findings may be of wider interest to the many organizations where virtual collaboration is now commonplace.
References
Barab, S., Thomas, M., Dodge, T., Carteaux, R. & Tuzun, H. (2005). Making learning fun: Quest Atlantis, a game without guns. Educational Technology Research and Development, 53(1), 86-107. https://doi.org/10.1007/BF02504859

Englund, C. (2017). Exploring approaches to teaching in three-dimensional virtual worlds. International Journal of Information and Learning Technology, 34, 140-151. https://doi.org/10.1108/IJILT-12-2016-0058

Hetland, P. & Mørch, A. I. (2016). Ethnography for Investigating the Internet. Seminar.Net, 12(1). https://doi.org/https://doi.org/10.7577/seminar.2335

Hine, C. (2015). Ethnography for the Internet: Embedded, Embodied and Everyday. London: Taylor & Francis Group. https://doi.org/10.5040/9781474218900

Mørch, A. I., Mifsud, L. & Engen, B. K. (2016). Problem-Based Learning in Synchronous Networked Environments: Comparing Adobe Connect and Second Life. Seminar. net,

Pasfield-Neofitou, S., Huang, H. & Grant, S. (2015). Lost in second life: virtual embodiment and language learning via multimodal communication. Educational Technology Research and Development, 63. https://doi.org/10.1007/s11423-015-9384-7

Vasileiou, V. & Paraskeva, F. (2010). Teaching Role-Playing Instruction in Second Life: An Exploratory Study. Journal of Information, Information Technology, and Organizations, 5. https://doi.org/10.28945/1181

Wang, F. & Burton, J. (2013). Second Life in education: A review of publications from its launch to 2011. British Journal of Educational Technology, 44. https://doi.org/10.1111/j.1467-8535.2012.01334.x


16. ICT in Education and Training
Paper

Student Exchange Without Travelling

Ann-Britt Enochsson, Annica Ådefors

Karlstad University, Sweden

Presenting Author: Enochsson, Ann-Britt

At the beginning of 2020, we experienced that a lot of activities, that we normally do, had to be put on paus due to the pandemic. One of these activities was international exchange programs in higher education. One way to continue working with international exchange could be to work more with international exchange online, which sometimes is called technology-supported internationalization or Internationalization-at-home – IaH (Mittelmeier et l., 2021). In March 2021, we launched an exchange program for vocational student teachers in Norway, Germany, Sweden, and Turkey, supported by the exchange program ERASMUS. The overarching aim was to provide the preservice teachers with insights in vocational training in other countries and thereby in developing and strengthening their intercultural skills as well as English and digital skills

Students in all four countries studied one or several of three online MOOCs developed within the project. The themes of the MOOCs were 1) Democracy and citizenship, 2) Sustainable development, and 3) values. A fourth course was about how to create digital stories through short videos. After working with the MOOCs locally, the students met in international colloquia collaboratively creating digital storytelling, i.e. short videos, on the themes. The way of working also meant that the students needed to collaborate online and to practice their English throughout digital storytelling production.

In the project, 142 students from our own university in Sweden participated together with student teachers from Norway, Germany, and Turkey. About ten teacher educators from the four countries have had the opportunity to participate in four MOOCs through a common learning platform. Three MOOCs focused on the three themes mentioned above, and the fourth MOOC covered how to create digital storytelling.

The study has its base in a sociocultural tradition, which emphasizes learning through interaction with the support of mediating tools (Ivarsson et al., 2009). Language is described as the most important tool for communication and thinking and therefore also an important tool for learning (Säljö, 2014). In a multimodal setting like the online MOOCs where the preservice teachers were expected to produce videos in collaboration with others, language fulfils a bridging and important function (Ivarsson et al., 2009). In this context, the language was English which was not any student’s mother tongue.

The aim of this study is to contribute knowledge in the field of international exchange between vocational preservice teachers in times when travelling is restricted.

The research questions are as follows:

  • How do the preservice teachers experience the participation in an international exchange through online technology?
  • What are the advantages, disadvantages and challenges working this way according to the Swedish preservice teachers and their teacher educators?

Interesting in this specific context has been how the student have used, experienced and communicated through the available technological resources, and how they relate to the development project’s overarching aim (to develop intercultural, digital and English competence).


Methodology, Methods, Research Instruments or Sources Used
The study is a case study inspired by action research, focusing on the students that volunteered in the international seminars. They were about 50 students in three groups, and there were also a few individual presentations internationally. Data derive from different sources. Project documents and MOOCs will be analysed as well as written summaries from the work in the other countries in the project. These data from the overall project and serve as a basis for the analyses of the preservice teachers’ experiences. The Swedish preservice teachers and their two teacher educators will be interviewed to get data to better understand their experiences and how the resources could be used. Included in data are also the digital storytelling by the interviewed preservice teachers.

The interviews with the preservice teachers will be conducted as semi-structured interviews (Kvale & Brinkman, 2008) through an online video tool. The vocational teacher program is run online in combination with three meetings per semester on campus, which means that some of the preservice teachers live quite far from the university. The interview questions concerned their experiences from the project with focus on interculture, technology and language, how they think they can use these experiences in their future profession with their future upper-secondary vocational pupils, and how the project could be developed further within teacher education.

Data will be analysed through a text analysis in terms of an expanded text concept (Fejes & Thornberg, 2015). The results are reported and discussed with a focus on the students’ and their teacher educators' experiences of the exchange project by using the digital tools.

Conclusions, Expected Outcomes or Findings
The project is still in its infancy, and interviews will be carried out during the next months. Because of this there are still no results, but we believe that our study can contribute knowledge to the field of internationalization of vocational teacher education.
References
Fejes, A. & Thornberg, R. (Eds.) (2015). Handbok i kvalitativ analys [Handbook in qualitative analysis]. (2 ed.) Liber.

Ivarsson, J., Linderoth, J. & Säljö, R. (2009). Representations in practices: A sociocultural approach to multimodality in reasoning. In C. Jewitt (Ed.), The Routledge handbook of multimodal analysis (pp. 201-212). Routledge. https://gup.ub.gu.se/file/206812

Kvale, S. Brinkmann, S (2014). InterViews: Learning the Craft of Qualitative Research Interviewing (3 ed.). Sage.

Mittelmeier, J., Rienties, B., Gunter, A. & Raghuram, P. (2021). Conceptualizing internationalization at a distance: A “Third Category” of university internationalization. Journal of Studies in International Education, 25(3), 266–282. https://doi.org/10.1177/1028315320906176

Moura E. O. de, Bispo M. de S. (2020) Sociomateriality: Theories, methodology, and practice. Canadian Journal of Administrative Sciences, 37(3), 350–365. https://doi.org/10.1002/cjas.1548  

Säljö, R. (2014). Lärande i praktiken: Ett sociokulturellt perspektiv [Learning in practice: A socio-cultural perspective]. (3. ed.) Studentlitteratur.
 
5:15pm - 6:45pm16 SES 08 A: Integrating ICT - School Level Factors
Location: Gilmorehill Halls (G12), 217A [Lower Ground]
Session Chair: Philippe Gabriel
Paper Session
 
16. ICT in Education and Training
Paper

School Level Factors Motivating Teachers to Integrate Digital Technology in the Teaching

Liudmila Rupsiene, Ruta Girdzijauskiene, Egle Pranckuniene

Klaipeda university, Lithuania

Presenting Author: Rupsiene, Liudmila

Digitalisation of education has been declared a European priority for 2021–2027 (European Commission, Digital Education Action Plan 2021–2027: Resetting Education and Training for the Digital Age, 2020).

Digitalisation offers new possibilities to teach and learn: teachers online and offline integrate various elements of teaching, learning, assessment, roles and technologies in different ways (Jahnke et al., 2017). Digitalising schools have developed new ways of communicating, planning, organisation and administration (Petterson, 2021).

Research suggests that school digitalisation has many positive effects: fosters students’ self-directed and independent learning, stimulates their engagement and motivation to learn, enhances computing skills and access to online content, improves attendance and enrolment, increases teacher collaboration, professional development opportunities, improves student–teacher relationships, reduces discipline problems etc. (Islam & Grönlund, 2016). However, school digitalisation is a rather complicated process, as it can have not only positive, but also negative or, in some cases, no effects (Islam & Grönlund, 2016; Hatos, 2019; Warschauer, 2007).

In this context, it is important to address the arguments that technology and the use of technology in schools themselves do not change educational practice (Islam & Grönlund, 2016; Warschauer, 2006). Technologies are just tools that “have value only in the hands of thoughtful, well-prepared people, with a clear goal in mind” (Peck and Sprenger, 2008). So, school digitalisation amplifies the role of human mentorship (Warschauer, 2007). This means that the digitalisation of schools greatly depends on teachers’ behaviour using technology.

According to the Fogg Behavior Model, any behaviour depends on the convergence of three factors: sufficient motivation, ability and triggers to perform the behaviour (Fogg, 2009). Based on this understanding, it can be argued that the digitalisation of schools depends to a large extent on teachers’ motivation, abilities and triggers to use technology.

Research shows that since the start of the Covid pandemic, teachers are more motivated to use technology for teaching and are better able to do this (Beardsley, Albo, Aragon, Hernandez-Leo, 2021). Scholars are obtaining more and more evidence that teachers who consider technology as valuable to the teaching/learning are more motivated to use it (Chiu, 2022). The provision of resources for technology use in the school is also seen as a strong motivating factor: the better teachers are equipped with technological resources, the more likely they tend to use them in their pedagogical practice (Chiu, 2022). Insufficient support from schools is a major barrier to the use of technology in the teaching practices (Serriawati & Azwar, 2020). The higher the school support, the more effectively teachers use technology (Serriawati & Azwar, 2020). Support from school leaders, participation in peer co-learning groups and training from external experts can reinforce teachers’ motivation to integrate technology (Chiu, 2022).

However, there is not enough understanding of what motivates teachers to use technology in the teaching practices and how to stimulate this motivation, especially taking into account the diversity of digitalisation processes worldwide and, particularly, in Europe. Hence, it is no coincidence that there have been recent calls to continue researching the influence of leaders on teachers’ motivation (Ryan & Deci, 2020), to investigate teachers’ motivation in digitalisation processes and, especially, in technology integration (Chiu, 2022), and to explore the factors that ensure improvement and dissemination of good practice of technology-assisted pedagogy (Islam & Grönlund, 2016).

This paper focuses on the factors that motivate Lithuanian teachers to integrate one type of technology, the AI driven learning experience platforms.


Methodology, Methods, Research Instruments or Sources Used
During a 4 month action research period, 11 schools of Lithuania were offered to pilot two learning experience platforms, such as Eduten Playground (https://www.eduten.com/) and LearnLab (https://learnlab.net/). 2–5 teachers in each school and their leaders collaborating with researchers “went” all the way from getting to know the platforms, understanding their philosophy and operating principles, learning to use them, more or less integrating them in the teaching, facing and solving problems, experiencing various motivational triggers at school, municipal and national levels.

Throughout implementation of the project, regular online weekly meetings of teachers and the project team took place. The team visited the project schools to meet with participating teachers and school leaders and to discuss the problems, the solutions and the observed changes in teaching/ learning, teachers’ motivation to use the piloting learning experience platforms and the factors influencing this motivation. The experience of these teachers and school leaders is important because it helps to understand what factors motivate Lithuanian teachers to integrate new technology, specifically AI driven learning experience platforms, in the teaching practice.

During the school visits and at the end of the action research, we interviewed project teachers (N=20) and school leaders (N=7). We conducted face-to-face interviews as part of our school visits, other interviews were conducted via video conference meetings (Zoom). We used the interview method following Brinkmann & Kvale (2018). Among others, the interviews were focused on the broad research question: how to motivate teachers to use new technologies, such as learning experience platforms, in schools. In total, about 15 hours of recordings were made, which were transcribed and encoded, focusing on what was said. After coding, we categorised the codes into two broad themes: 1) national level motivating factors, and 2) school level motivating factors.

Conclusions, Expected Outcomes or Findings
The study shows that at the national level there are several factors that motivate teachers to integrate new technologies, such as learning experience platforms: decent salaries, prestige of the teaching as a profession, rational demands for teachers, a system of assessment that promotes learning, the provision of technology tools etc. However, in these areas, the research participants identify several problems that hinder their motivation and that of their colleagues. For example, they consider teachers’ salaries to be too low and the remuneration system as not encouraging  to learn new technologies and their use in the teaching practice. A low salary makes the teaching profession less prestigious, and the national system of school evaluation based on students’ performance in exams forces teachers to focus on preparing students for tests rather than on the holistic development of students, which is well served by experiential learning platforms.

At the school level, the following factors were identified: technological equipment (computers, software, Internet), support for teacher collaboration in learning new technologies and their use in pedagogical practice, good relations between school leaders and teachers, adequate allocation of resources in the school etc. At school level motivation system, the research participants also helped to identify several serious problems that hinder teacher motivation. For example, there is too little collaboration among teachers in learning new technologies and putting them into practice, only 30% of schools are equipped with computers, efficiency of Wi-Fi does not meet the needs of the school, not all teachers are able to choose the digital tools they would like to work with etc.
The identified factors that motivate teachers help to better understand why technology, specifically artificial intelligence technology, is underused in Lithuania. This understanding can also be useful for other countries where, like in Lithuania, the use of digital technologies in teaching is still underdeveloped.

References
Beardsley, M., Albo, L., Aragon, P., Hernandez-Leo, D. (2021). Emergency education effects on teacher abilities and motivation to use digital technologies. British Journal of Educational Technology, 52 (4), 1455-1477.
Brinkmann, S., & Kvale, S. (2018). Doing interviews (2nd ed.). London: SAGE.
Chiu, T.K. (2022). School learning support for teacher technology integration from a self-determination theory perspective. Education Technology Research Development, 70, 931–949.
Fogg, B. J. (2009). A behavior model for persuasive design. In Proceedings of the 4th International Conference on Persuasive Technology (Persuasive '09) (pp. 1– 7). Association for Computing Machinery, Article 40.  
Gustafsson, U. (2021) Taking a step back for a leap forward: policy formation for the digitalisation of schools from the views of Swedish national policymakers. Education Inquiry, 12 (4), 329-346.  
Hatos, A. (2019). The impact of digitalization on educational achievement: a literature review from a sociological perspective. Calitatea Vieții, 30 (1), 3–16.
European Comission, Digital education action plan 2021-2027: resetting education and training for the digital age, COM (2020).  624, Brussels, 30 September 2020.
Jahnke, I., Bergström, P., Mårell-Olsson, E., Häll, L., & Swapna, K. (2017). Digital didactical designs as research framework – iPad integration in Nordic schools. Computers & Education, 113, 1–15.
Islam, S., & Grönlund, Å. (2016). An international literature review of 1:1 computing in schools. Journal of Educational Change, 17(2), 191–222.
Peck, K. L., & Sprenger, K. (2008). One-to-One educational computing: Ten lessons for successful implementation. In J. Voogt & G. Knezek (Eds.), International handbook of information technology in primary and secondary education (pp. 935–942). New York: Springer
Pettersson, F. (2021). Understanding digitalization and educational change in school by means of activity theory and the levels of learning concept. Education and Information Technologies, 26, 187–204.
Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61, Article 101860.  
Serriawati, M., & Azwar, S. (2020). Correlation between perceptions of school support and the mastery of information technology to teachers’ self-efcacy. Journal of Psychology and Instruction, 4(1), 22–28.
Warschauer, M. (2007). The paradoxical future of digital learning. Learning Inquiry, 1(1), 41-49.


16. ICT in Education and Training
Paper

Instructional Leadership In A Digitized World

Julia Gerick1, Pierre Tulowitzki2

1TU Braunschweig, Germany; 2FHNW University of Applied Sciences and Arts Northwestern Switzerland

Presenting Author: Gerick, Julia; Tulowitzki, Pierre

There is nowadays a wealth of evidence linking educational leadership to student outcomes (Grissom et al., 2021). School leaders influence teacher capacity, motivation and working conditions which then in turn affect classroom instruction and student performance (Leithwood et al., 2017). Additionally, school leaders have long been identified as “change agents” (Fullan, 1993) that can act as gatekeepers or drivers of innovation in schools (Hall & Hord, 2019). These innovations include ICT usage in schools. Here, school leaders have been shown to influence teachers’ knowledge and usage (Dexter, 2018). This has been linked to the competencies and usage patterns of principals and to their leadership approaches (for example Navaridas-Nalda et al., 2020). Generally speaking, instructional leadership has been shown to be beneficial for the quality of classroom instruction and student learning in the anglophone world (Robinson et al., 2009), with some scholars questioning the effectiveness of this approach in other contexts (Klein et al., 2022). As the integration of digital technologies into classroom practices can significantly alter teaching and learning (De Florio-Hansen, 2018), it stands to reason that instructional leadership practices nowadays might need to include or integrate aspects of digitization in order to have a beneficial impact on classroom instruction and student learning. ICT-related competencies of teachers and student might especially benefit from such adapted leadership practices.

However, corresponding research is rare, with some scholars even stating that the “field has no knowledge of digital instructional leadership” (Berkovich & Hassan, 2022, p. 1). Existing contributions are often aimed at practitioners (Sorenson et al., 2016) or rely solely on self-reported data from school leaders (for example Nurabadi et al., 2022). Additionally, such contributions tend to focus on the competencies or attitudes of school leaders. Contributions analyzing the (possible) influence of digital instructional leadership on teaching practices or student learning as well as studies of leadership (practices) that take into account multiple perspectives (for example data from school leaders and from teachers) are lacking. This lack is even more poignant when it comes to contributions making use of large, international datasets.

An international understanding of how school leaders use ICT and how they might influence ICT integration in schools seems especially important as the pandemic has highlighted the potential of ICT in schooling but also – in many countries – that the current state of integration in many countries leaves room for improvement (Karakose et al., 2021; Ramos-Pla et al., 2021).

This contribution and the underlying study were designed to fill in some of the gaps mentioned before. The aim was to study digital instructional leadership, how it might be perceived by school leaders and teachers and its possible effects on inner-school factors. The following research questions guided the research:

  1. How is instructional leadership in a digital world perceived by school principals and teachers in Germany and to what extent do the perceptions of school principals and teachers differ?
  2. What are the effects of digital instructional leadership on various inner-school factors as well as on student learning?

Methodology, Methods, Research Instruments or Sources Used
To answer the research question, secondary analyses of data from the International Computer and Information Literacy Study (ICILS 2018) are used. The ICILS 2018 study is an international comparative school achievement survey that was conducted in 2018 in its second cycle (Eickelmann et al., 2019). The focus is on the computer-based measurement of computer and information literacy of eighth graders in Germany in an international comparison as well as the assessment of the framework conditions of acquisition via extensive background questionnaires for the stakeholder groups teachers, IT coordinators, and school administrators (Mikheeva & Meyer, 2020; Vennemann et al., 2021).
The focus of this paper is on the information from the administrators and the teacher questionnaire. To operationalize instructional leadership in a digitized world, national supplements (6 items), which were only used in Germany, are used. Those 6 items were used in the administrators as well the teacher's questionnaire to be able to compare both perspectives (research question 1).
Secondary analyses are used to answer the previously formulated research questions using descriptive statistics (research questions 1) as well as correlation analyses and structural equation modeling (research question 2). The complex data structure is taken into account by using the IEA IDB analyzer as well as the software Mplus. Since the ICILS 2018 sample design for schools is designed to obtain best possible samples and estimates at the student and teacher level, the school-level data, and thus the data from school administrators, are considered to be characteristics of teachers and students respectively, i.e., the data from school principals are weighted to the teachers as well as for students. The analysis sample for this contribution comprises an average of n = 2,328 teachers and n = 3,655 students.

Conclusions, Expected Outcomes or Findings
In summary, the findings show for research question 1 that school administrators in Germany themselves perceive their leadership actions to be more pronounced than teachers perceive them to be. This is particularly the case for the perception of providing support for teachers who have difficulties with the use of ICT in the classroom. Results for research question 2 show very small positive effects of digital instructional leadership on various factors relevant to student learning, notably teachers’ ICT-related self-efficacy as well as on the emphasis of teachers promoting computer and information literacy in their teaching. However, no significant direct effects between digital instructional leadership and students’ computer and information literacy could be identified. This possibly indicates that while school leaders might play a significant role when it comes to influencing the ICT competencies and usages of teachers, their influence does not extend to students (not even indirectly). It’s possible that teachers who enjoy a high degree of autonomy in Germany act as a “buffer” for any possible impact school leaders might have. If this were the case, then successful professional development for school leaders related to ICT should not focus (much) on using ICT for instructional purposes (as the influence of school principals on teachers in Germany might be too limited in this area), but more on fostering a whole school digital strategy.
These results as well as further findings will be presented and discussed against the background of current European discourses on the role of instructional leadership in the context of the digitalization of schools and teaching (including Tulowitzki et al., 2022).

References
Berkovich, I., & Hassan, T. (2022). Principals’ digital instructional leadership during the pandemic: Impact on teachers’ intrinsic motivation and students’ learning. Educational Management Administration & Leadership.
De Florio-Hansen, I. (2018). Teaching and learning English in the digital age. Waxmann.
Dexter, S. (2018). The Role of Leadership for Information Technology in Education. In J. Voogt, G. Knezek, R. Christensen, & K.-W. Lai (Eds.), Second Handbook of Information Technology in Primary and Secondary Education (pp. 483–498). Springer.
Eickelmann, B. et al. (Eds.). (2019). ICILS 2018 #Deutschland. Waxmann.
Fullan, M. (1993). Change Forces. Probing the Depths of Educational Reform. The Falmer Press.
Grissom, J. A., Egalite, A. J., & Lindsay, C. A. (2021). How Principals Affect Students and Schools. Wallace Foundation.
Hall, G., & Hord, S. (2019). Implementing Change: Patterns, Principles, and Potholes. Pearson.
Karakose, T., Polat, H., & Papadakis, S. (2021). Examining Teachers’ Perspectives on School Principals’ Digital Leadership Roles and Technology Capabilities during the COVID-19 Pandemic. Sustainability, 13(23).
Klein, E. D., Bronnert-Härle, H., Boone, W. J., & Muslic, B. (2022). Constructs of leadership and diverging institutional environments. School Effectiveness and School Improvement, 33(4), 564–587.
Leithwood, K., Sun, J., & Pollock, K. (Eds.). (2017). How School Leaders Contribute to Student Success. Springer.
Mikheeva, E., & Meyer, S. (2020). IEA ICILS 2018. User Guide. IEA.
Navaridas-Nalda, F., Clavel-San Emeterio, M., Fernández-Ortiz, R., & Arias-Oliva, M. (2020). The strategic influence of school principal leadership in the digital transformation of schools. Computers in Human Behavior, 112.
Nurabadi, A., Suhariadi, F., Mardiyanta, A., Triwiyanto, T., & Adha, M. A. (2022). Digital principal instructional leadership in new normal era. International Journal of Evaluation and Research in Education, 11(3), 1090–1098.
Ramos-Pla, A., Tintoré, M., & del Arco, I. (2021). Leadership in times of crisis. School principals facing COVID-19. Heliyon, 7(11).
Robinson, V. M. J., Hohepa, M. K., & Lloyd, C. (2009). School leadership and student outcomes: Identifying what works and why. New Zealand Ministry of Education.
Sorenson, R. D., Goldsmith, L. M., & DeMatthews, D. E. (2016). The Principal′s Guide to Time Management: Instructional Leadership in the Digital Age (1st ed.). Corwin.
Tulowitzki, P., Gerick, J., & Eickelmann, B. (2022). The role of ICT for school leadership and management activities: International Journal of Educational Management, 36(2), 133–151.
Vennemann, M., Eickelmann, B., Labusch, A., & Drossel, K. (2021). ICILS 2018 #Deutschland. Dokumentation der Erhebungsinstrumente. Waxmann.
 
Date: Thursday, 24/Aug/2023
9:00am - 10:30am16 SES 09 A: Teacher Competences
Location: Gilmorehill Halls (G12), 217A [Lower Ground]
Session Chair: Xiaomei Wei
Paper Session
 
16. ICT in Education and Training
Paper

Teachers Utilizing Diverse Aspects of Professional Digital Competence – Challenges and Possibilities in a Highly Digital Teaching Practice

Christina Löfving, Marie Utterberg Modén

University of Gothenburg, Sweden

Presenting Author: Löfving, Christina

In many countries all over the world, digitalization has, during the last decades, had an impact on teaching practices. This has led to opportunities for teachers, e.g. more accessible colleagues and material via the internet, and challenges, e.g. teachers’ decreased autonomy to self-regulate their work due to platformization, i.e. digital platforms designed in particular ways for communication, assessment, and schoolwork, finding their way into the teaching practice (Selwyn et al., 2017; Williamson, 2017). In this environment, European policies aim at supporting schools to take advantage of digitalization and to promote teachers’ professional digital competence (PDC), where one aspect is to facilitate students’ digital competence (European Commission, 2020; European Commission et al., 2022; Redecker & Punie, 2017). Previous research highlights teachers’ complexity in utilizing PDC, leading to dilemmas and negotiations in practice (Löfving et al., 2023). However, in the literature, there is a focus on teachers’ PDC concerning technological and pedagogical competences on an individual level rather than as a collective responsibility in the school organization, leaving other aspects sometimes unattended (Skantz-Åberg et al., 2022). Further, research on PDC often draws on teachers’ self-evaluation through surveys (Moltudal et al., 2019; Svoboda et al., 2020; Tomczyk, 2020; van de Oudeweetering & Voogt, 2018). Even if these findings are valuable, we here want to investigate teachers’ PDC through their everyday work as part of a larger organization.

The present study is part of the project Reconfigurations of Educational In/Equality in a Digital World (RED) (https://www.edu-digitalinequality.org). We contribute with an ethnographic approach to be able to explore teachers’ daily experiences and interactions connected to their PDC that take place in practice. We use the lens of disruptive fixation, where educational reforms addressing digitalization, and calling for disruptive solutions, often are framed by powerful outsiders in a first cycle, reworked in a second cycle by educational experts who present solutions, and then executed in a third cycle by, here, teachers. However, the problematization and the reforms seldom take all unmeasurable aspects into account. Instead, teachers must respond to unanticipated destabilizing forces. Thus, the objective is to unpack what in the teaching practice particularly enables and constrains teachers to utilize various aspects of PDC when teachers are understood to be part of a digital teaching practice that reaches beyond the individual teacher and the classroom.

The results show that new time-consuming teaching tasks, e.g., administrating digital technology and instructing students how to use a wide range of such technology, are identified to constrain teachers utilizing diverse aspects of PDC. Additionally, there are enabling factors, e.g., a wide range of resources and infrastructures for communication. We will elaborate further on these constraining and enabling factors.

The study takes place in a highly digitalized teaching practice. Thus the results are useful for researchers and school organizations in other emerging digital teaching practices in Europe and other parts of the world. We hope for interesting discussions on how our contribution can illuminate how organizations can further facilitate diverse aspects of teachers’ PDC.


Methodology, Methods, Research Instruments or Sources Used
The study takes its departure in qualitative ethnography, where it seeks to understand teachers’ PDC through their work in a Swedish highly digitalized school (grades 6-9). Sweden is of particular interest as it is part of the Nordic countries in Europe, where there is a long tradition of a high degree of self-determination for teachers to interpret policies in their local teaching practices (Klette, 2002). The methodology is chosen to gain first-hand knowledge by observing what is happening in situ for an extended period (Hammersley and Atkinson, 2007).

The data was gathered for one year in 2022 and 2023 when two researchers observed five teachers’ work. The researchers wrote fieldnotes, collected documents, took pictures of artifacts, interviewed, and had shorter conversations with various staff members in, and in close connection to, the school. The interviews have been transcribed, then read and re-read, and together with the other data material, discussed by the participating researchers to gradually identify themes in the entire data set during the fieldwork.

Writing field notes and comparing and discussing them with others is often an essential part of ethnographic work (Emerson (2011). Using this methodology, we, the researchers, could reflect on what we had observed and decide how to conduct the fieldwork further. The involvement of several researchers provided a nuanced understanding of the teaching practices by observing with various concerns in mind (Hammersley & Atkinson, 2007), and multiple interpretations were discussed and reformulated during the year of observation. Findings were also discussed with researchers in the international RED project during online meetings throughout the year.

The findings presented here derive from analysis using a disruptive fixation lens previously used in ethnographic educational studies (Sims, 2020). Disruptive fixation means that educational reforms addressing digitalization often are “based in technologically centered formulations” and “move through cycles of ‘disruptive fixation’ that consolidate, rather than dismantle, inherited patterns and inequities” (Sims, 2020 p.183). That means powerful outsiders, e.g., politicians, formulate problems that call for disruptive solutions. These solutions are formulated in a second cycle by educational experts who try to meet the needs and gain support from those powerful outsiders. In a third cycle, the ones who are supposed to execute the reform initiatives, here the teachers, tend to look for well-known stabilizing resources to lean on. All the cycles are part of digital reforms in education, even if we focus on the teachers.  


Conclusions, Expected Outcomes or Findings
While teachers in this study are tool-oriented, as Selwyn et al. (2017) previously have identified in other contexts, other aspects of PDC are more or less left out. Even if this teaching practice is highly digitalized and centered around various platforms, the teachers spend much time instructing students on how to use these artifacts. This finding adds to previous results on platformization by Williamson (2017) and can be regarded as a new teaching task constraining opportunities to focus on other areas of PDC. The different platforms thereby constitute teachers’ PDC in several ways. Even if there are enabling factors such as infrastructures for communication and moments of actively engaging students, e.g., when teachers instruct the students to film their speeches, extensive and diverse expressions of creativity in the teaching practice seem to be constrained by activities steered by the platforms. However, further research is needed on how school organizations can facilitate teachers’ PDC, not leaving it to single teachers to interpret and utilize all by themselves.
References
Emerson, R. M. (2011). Writing ethnographic fieldnotes (2. ed. ed.). Chicago: University of Chicago Press.

European Commission. (2020). Digital education action plan (2021-2027). Resetting education and training for the digital age. https://ec.europa.eu/education/sites/default/files/document-library-docs/deap-communication-sept2020_en.pdf

European Commission, et al. (2022). Digcomp 2.2, the digital competence framework for citizens: With new examples of knowledge, skills and attitudes. https://doi.org/doi/10.2760/115376

Hammersley, M., et al. (2007). Ethnography : Principles in practice (3 ed.). London : Routledge.

Klette, K. (2002). Reform policy and teacher professionalism in four nordic countries. Journal of Educational Change, 3(3-4), 265-282. https://doi.org/https://doi.org/10.1023/A:1021234030580

Löfving, C., et al. (2023). Teachers' dilemmatic spaces connected to students' net-based out-of-school activities. The International Journal of Information and Learning Technology, 40(1), 62-72. https://doi.org/10.1108/IJILT-03-2022-0042

Moltudal, S., et al. (2019). The relationship between teachers’ perceived classroom management abilities and their professional digital competence. Designs for Learning, 11(1), 80-98. https://doi.org/10.16993/dfl.128

Redecker, C., et al. (2017). European framework for the digital competence of educators: Digcompedu. Publications Office of the European Union. https://doi.org/DOI:10.2760/159770

Selwyn, N., et al. (2017). High-tech, hard work: An investigation of teachers’ work in the digital age. Learning, media and technology, 42(4), 390-405. https://doi.org/10.1080/17439884.2016.1252770

Sims, C. (2020). Pedagogic fixation. In M. Stocchetti (Ed.), The digital age and its discontents (pp. 183-210). Helsinki University Press.

Skantz-Åberg, E., et al. (2022). Teachers’ professional digital competence: An overview of conceptualisations in the literature. Cogent Education, 9(1), 2063224. https://doi.org/10.1080/2331186X.2022.2063224

Svoboda, P., et al. (2020). Research of teachers’ digital competences in an international context. The Impact of the 4th Industrial Revolution on Engineering Education, Cham.

Tomczyk, Ł. (2020). Skills in the area of digital safety as a key component of digital literacy among teachers. Education and Information Technologies, 25(1), 471-486. https://doi.org/https://doi.org/10.1007/s10639-019-09980-6

van de Oudeweetering, K., et al. (2018). Teachers' conceptualization and enactment of twenty-first century competences: Exploring dimensions for new curricula. Curriculum journal (London, England), 29(1), 116-133. https://doi.org/10.1080/09585176.2017.1369136

Williamson, B. (2017). Big data in education : The digital future of learning, policy and practice. Los Angeles : SAGE.


16. ICT in Education and Training
Paper

The Development of Assessment Scale for Computational Thinking Competence of In-service Primary School Teachers

Xinlei Li1, Johan van Braak1, Martin Valcke1, Guoyuan Sang2

1Ghent University, Belgium; 2Beijing Normal University, Beijing

Presenting Author: Li, Xinlei

In the context of modern information technology, computational thinking (CT) as a key competence is considered necessary to live an active life that is required to adapt to the discipline of teachers’ teaching and students' learning in the digital world in primary education. CT can be seen as a thinking process and skills that are essentially about using strategies and cognitive knowledge to solve problems and test solutions with supported attitudes. Some researchers have perceived and defined CT competence. Jocius et al. (2020) mentioned that the value of CT is a way to enhance and support more complex discipline-specific and interdisciplinary understandings, not just an isolated concept associated with computer science. Brennan & Resnick (2012) proposed the key dimensions of the CT framework: “computational concepts (the concepts designers engage with as they program, such as iteration, parallelism, etc.), computational practices (the practices designers develop as they engage with the concepts, such as debugging projects or remixing others’ work), and computational perspectives (the perspectives designers form about the world around them and about themselves)”. CT plays an important role in the teaching of the subject by teachers. Understanding teachers' CT competence and their ability to teach CT is particularly necessary for teachers to instruct effective subject education. There are researchers have begun to focus on teachers' cognitions of CT. Teachers' understanding of CT must build on the subject matter they teach (Yadav et al., 2014). In an experiment to assess the impact of CT modules on in-service teachers, a statewide survey of primary Maryland teachers is conducted to understand how to integrate CT into other content lessons. The survey asked teachers about their conceptualization of CT, the CT resources they rely on, CT integration and their comfort levels to provide effective CT instruction for their students (Garvin et al., 2019). However, most CT assessments are more reflective of Europe and North America and students’ CT (Cutumisu et al., 2019; Fang et al., 2021). Based on the findings of the existing CT assessment, the evaluation content includes CT knowledge and skills, but less attention is paid to CT attitudes. There are few CT assessment instruments in a non-programming environment, and there is a lack of CT assessment instruments combined with specific subject teaching knowledge. Therefore, more research attention needs to be directed to the rest of the world and teachers’ CT competence and their teaching competence assessment to fill the research gaps. Based on the above analysis, this research mainly solves the problem of in-service primary school teachers’ CT competence and CT teaching competence. Specifically, the following questions need to be solved: (1) What are the cognition aspects of CT competence and CT teaching competence considering primary teachers' characteristics in China? (2) How to construct an assessment scale of CT competence and CT teaching competence for Chinese in-service primary school teachers? In this research, a scale has been developed for the purpose of determining the aspects of CT competence and CT teaching competence of the teachers. The assessment scale for CT competence is a six-point likert type scale and consists of 31 items that could be collected under five factors in this research. The theory in this research is mainly based on the new taxonomy of educational objectives to assess teachers’ CT competence in life application and professional application context. We hope to promote reflection on the education and teaching of CT by enriching the CT assessment scales in different contexts. Meanwhile, we hope to use this scale to further our understanding of the current situation and characteristics of in-service primary school teachers' CT competence in European and other educational contexts.


Methodology, Methods, Research Instruments or Sources Used
This study uses the quantitative methodology to achieve research goals. The digital questionnaire is developed with the six-point likert type scale. The sample group of this study was selected from Chinese in-service primary school teachers who have the knowledge, teaching experience and basic competencies required for the assessment of CT competence and CT teaching competence. The main subjects taught by the respondents are Chinese, English, mathematics, science, information technology, music, arts, morality and the rule of law, sports and health, which shows that the subjects covered are in line with the current trend of the types of subjects taught to primary school students in China. The scale development process has started firstly by literature review and the formation of the item pool. The item development draws on several CT assessment scales that have been developed by researchers (Fang et al., 2021; Korkmaz et al., 2017; Doleck et al., 2017). The item pool also referred to the specific requirements of the Compulsory Education Curriculum Programme (2022 version) for CT education in primary schools in China and was designed from analytical, practical, attitudinal and professional perspectives. The study has established a team of experts consisting of teachers and researchers from universities, primary schools and educational institutions who are engaged in research related to CT to evaluate the items. In order to ensure the coverage and representativeness of the sample, the sampling method of the study was based on quota and stratified sampling. The main research process took place in three phases over a period of three months. The first stage was a pilot test, in which 27 primary school teachers were randomly selected to interview their feelings and revise the questionnaire based on interview results. The second stage was a pre-survey with exploratory factor analysis with 215 questionnaires were collected from primary school teachers and 189 valid questionnaires were filled in. The third stage was a formal survey with confirmatory factor analysis. 493 primary school teachers were surveyed in China and 442 valid questionnaires were filled in. This paper uses SPSS, Amos and other software to analyze the data and modify the model.
Conclusions, Expected Outcomes or Findings
As a result of the analysis, it has been concluded that the scale is a valid and reliable scale that could be used in the identification of CT competence aspects and CT teaching competence aspects of in-service primary school teachers. Since the reliable and valid assessment tool aiming at measuring CT competence from professional and teaching perspectives for in-service primary school teachers is seldom constructed in the literature, it could be thought that this measurement tool could make important contributions to the literature. The Cronbach 𝛼 for all five factors in this study are above 0.8 and the overall reliability is above 0.9, indicating good reliability of the scale. The factor loadings of items are higher than 0.7, indicating that the items corresponding to each latent variable are highly representative. The attained model reveals that the factors are confirmed by the data. When the values of the goodness of fit are examined, they have been found overall model fit is good (CMIN/DF=2.886, RMSEA=0.065, CFI=0.941, TLI=0.934). This study aims to promote the development of CT education by generating assessment scales to improve the awareness and competence of future teachers in CT education and to promote the deep integration of CT education with interdisciplinary teaching at European and international dimensions. This study considers the differences in policies, cultural backgrounds, and knowledge systems of the respondents. Moreover, it is also the application value of this study to formulate an assessment scale suitable for the respondents in combination with the national education policy, talent demand, and educational culture characteristics, and to improve the cultural applicability of the scale. However, this study is limited to investigating the CT competence of primary school teachers. Future research needs to focus on teachers' investigation in secondary schools or in higher levels.
References
Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12: what is Involved and what is the role of the computer science education community? Acm Inroads, 2(1), 48-54.
Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 annual meeting of the American educational research association, Vancouver, Canada (Vol. 1, p. 25).
Cutumisu, M., Adams, C., & Lu, C. (2019). A scoping review of empirical research on recent computational thinking assessments. Journal of Science Education and Technology, 28(6), 651-676.
Doleck, T., Bazelais, P., Lemay, D. J., Saxena, A., & Basnet, R. B. (2017). Algorithmic thinking, cooperativity, creativity, critical thinking, and problem solving: exploring the relationship between computational thinking skills and academic performance. Journal of Computers in Education, 4(4), 355-369.
Durak, H. Y., & Saritepeci, M. (2018). Analysis of the relation between computational thinking skills and various variables with the structural equation model. Computers & Education, 116, 191-202.
FANG Min, SUN Ying, LV Shenmin, ZENG Pengxuan, LIU Qian, FU Chen. (2021). Development of Assessment Scale for Computational Thinking of Pre-service Teachers Based on Teaching Competency: An Exploration on Sternberg's Theory of Successful Intelligence and Teaching Theory of Thinking. e-Education Research, (02),112-120.
Garvin, M., Killen, H., Plane, J., & Weintrop, D. (2019). Primary School Teachers' Conceptions of Computational Thinking. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (pp. 899-905).
Jocius, R., Joshi, D., Dong, Y., Robinson, R., Catete, V., Barnes, T., Albert, J., Andrews, A., & Lytl, N. (2020). Code, Connect, Create: The 3C Professional Development Model to Support Computational Thinking Infusion. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (pp. 971–977).
Korkmaz, Ö., Çakir, R., & Özden, M. Y. (2017). A validity and reliability study of the computational thinking scales (CTS). Computers in human behavior, 72, 558-569.
Marzano, R. J., & Kendall, J. S. (Eds.). (2006). The new taxonomy of educational objectives. Corwin Press.
Ministry of Education of the People’s Republic of China. (2022). Compulsory Education Curriculum Programme (2022 version). Beijing: Beijing Normal University Press.
Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., & Korb, J. T. (2014). Computational thinking in elementary and secondary teacher education. ACM Transactions on Computing Education (TOCE), 14(1), 1-16.
 
12:15pm - 1:15pm16 SES 10.5 A: NW 16 Network Meeting
Location: Gilmorehill Halls (G12), 217A [Lower Ground]
Session Chair: Ed Smeets
NW 16 Network Meeting
 
16. ICT in Education and Training
Paper

NW 16 Network Meeting

Ed Smeets

KBA Nijmegen, Netherlands, The

Presenting Author: Smeets, Ed

All networks hold a meeting during ECER. All interested are welcome.


Methodology, Methods, Research Instruments or Sources Used
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Conclusions, Expected Outcomes or Findings
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References
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1:30pm - 3:00pm16 SES 11 A: Teaching for Digital Citizenship: Beginning a Conversation on Data Ethics in the Lived Experience of Schooling
Location: Gilmorehill Halls (G12), 217A [Lower Ground]
Session Chair: David Lundie
Panel Discussion
 
16. ICT in Education and Training
Panel Discussion

Teaching for Digital Citizenship: Beginning a Conversation on Data Ethics in the Lived Experience of Schooling

David Lundie1, Robert Davis1, James Conroy1, Jeremy Knox2, Sigrid Hartong3, John Gordon4

1University of Glasgow, United Kingdom; 2University of Edinburgh, United Kingdom; 3Helmut Schmidt University, Germany; 4University of East Anglia, United Kingdom

Presenting Author: Lundie, David; Davis, Robert; Conroy, James; Knox, Jeremy; Hartong, Sigrid; Gordon, John

This symposium brings together theoretical and empirical contributions from the launch of two large projects funded by the UK ESRC, and one German BMBF research project to critically enhance understandings of ICT as of political, ethical and sociological import not only in the UK and Germany but internationally. Treating of these issues at the level of information theory and data justice, implications and examples are drawn upon from Scotland, England and Germany, but the conceptual and digital aspects relate to patterns common to educational technologies globally.

We would particularly welcome a joint event between the ICT and Philosophy of Education SIGs.

Research questions:

How do the ways digital technology in schools is thought about, promoted and designed reinforce and reconfigure existing educational and social inequities?

How can data justice help to frame the challenges of polarization, datafication and autonomy which arise in relation to young people’s digital lives?

How can teachers exercise ethical agency in relation to civic and moral education for digital citizenship?

Theoretical & methodological framework:

Treating of the conference values of inclusion and diversity as methodological issues, we are interested in initiating a conversation that brings together voices that are commonly not heard in dialogue and exchange in order to furnish a workable moral education for the digital age. We are also seeking to create a conversation between experts and interests that do not routinely communicate on these questions (Tse et al. 2015).

Research papers proceed from a number of intersecting philosophical perspectives. Data justice articulates crucial issues of bias, discrimination, amplifying marginalisation and misrecognition which place some young people at liability in their access to the digital purely as a result of the digital representation of their identities (Eubanks 2018; Dencik et al. 2018) – as such, data justice foregrounds political engagement rather than the engineering of technical solutions. Relational pedagogy highlights the risks which accrue from applying metrics and models derived from an information-theoretic conception of learning as call-and-response to measure learning in diverse human subjects (Lundie 2016). It is in the intersection of the political with corporate data systems that data collection, processing and aggregation harms (Van den Hoven 1999) can manifest in reinscribing educational projects (Hartong 2016).

An opening between James Conroy and Robert Davis frames the purposes and challenges which motivated the identification of digital citizenship as a field for normative research, the responses of international educational paradigms to ‘Industrial Revolution 4.0’, and the extent to which traditional epistemic and moral capacities are sufficient to these challenges.

Three presentations from Jeremy Knox, Sigrid Hartong and John Gordon follow, addressing respectively, the insights of data justice on the interaction of education policy with technology, the role of technological mediators in reinscribing policy priorities across Europe, and spaces for ethical agency in teaching for digital citizenship.

Summarizing these normative considerations, David Lundie will open the discussion, inviting convergence and application from practitioners and researchers in the ICT education field.

Intended purpose:

This event brings normative resources to bear to refurbish a workable,coherent moral education for the challenges of digital citizenship. The discussion aims to introduce major funded projects of European relevance, make participants aware of the normative resources associated with these projects and highlight empirical dimensions to follow in 2024-25. These issues have an urgency and relevance that has not been widely addressed in the ICT education field. The aim of our discussion is to enrich the dialogue between ICT educators, the philosophy of education and leading research in digital and data ethics. A key aim of the discussion is to furnish a vocabulary for interrogating the ethical challenges of teaching for digital citizenship.


References
Dencik, L., Hintz, A. and Carey, Z., 2018. Prediction, pre-emption and limits to dissent: Social media and big data uses for policing protests in the United Kingdom. New media & society, 20(4), pp.1433-1450.
Eubanks, V., 2018. Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin's Press.
Hartong, S., 2016. Between assessments, digital technologies and big data: The growing influence of ‘hidden’data mediators in education. European Educational Research Journal, 15(5), pp.523-536.
Lundie, D., 2017. The givenness of the human learning experience and its incompatibility with information analytics. Educational Philosophy and Theory, 49(4), pp.391-404.
Tse, J., Schrader, D.E., Ghosh, D., Liao, T. and Lundie, D., 2015. A bibliometric analysis of privacy and ethics in IEEE Security and Privacy. Ethics and Information Technology, 17, pp.153-163.
Van den Hoven, J., 2017. Privacy and the varieties of informational wrongdoing. In Computer ethics (pp. 317-330). Routledge.

Chair
David Lundie, david.lundie@glasgow.ac.uk University of Glasgow
 
3:30pm - 5:00pm16 SES 12 A: Individual Support and Digital Environments
Location: Gilmorehill Halls (G12), 217A [Lower Ground]
Session Chair: Philippe Gabriel
Paper Session
 
16. ICT in Education and Training
Paper

Individual Support and Digital Media – Results of an Interview Study

Julia Gerick, Theresa Jahns, Barbara Zschiesche

TU Braunschweig, Germany

Presenting Author: Gerick, Julia

With the advancement of digitization, opportunities for the individual support of students are increasingly opening up. Digital media can help to better take into account students' individual prerequisites, needs, interests and inclinations, learning preferences, and differences in performance in the classroom (e.g., Holmes et al., 2018; Petko et al., 2017; Brühwiler & Vogt, F., 2020). Although previous research points to these potentials, the use of digital media for individual support has not yet been widespread in Germany (e.g., Gerick et al., 2017). This leads to the assumption that the implementation of individual support with digital media requires a lot of preconditions and opens up the question of the conditions for success at different levels. This is where a research project in Germany comes in.

The research project aims to identify conditions for success in individual support with digital media from the multidimensional perspective of school actors. A model of school development and school effectiveness with digital media (Eickelmann & Drossel, 2019) is used as a theoretical approach. Individual support is located on the process level and it is assumed that conditions for success can be identified on the school input level as well as on the process level.

In the context of this research project, individual support is understood to be all pedagogical actions within the framework of school teaching-learning processes that are carried out with the intention of supporting the learning development and process of all individual learners by identifying and taking into account their specific (learning) prerequisites, (learning) needs, (learning) paths, (learning) goals, and (learning) opportunities, based on Kunze (2008) and Behrensen and Solzbacher (2012).

Against this background this contribution will focus on the following research question:

Which success conditions can be identified for the individual support with digital media?


Methodology, Methods, Research Instruments or Sources Used
To answer the research question, (group) interview data from school leaders (n=8 interviews with overall 12 persons), teachers (n=25 interviews with overall 36 persons) and students (n=13 interviews with overall 60 students)) from eight schools in Hamburg (Germany) are analyzed (4 primary schools, 2 secondary schools, 2 Gymnasia). These eight schools were selected criterion-led out of a pool of 60 schools, which were characterized by strong individual support in the Hamburg school inspection. Analyses are conducted using qualitative content analysis (Mayring, 2021).

Conclusions, Expected Outcomes or Findings
The results show firstly that teachers and school leaders in the participating schools deeply reflect on the challenges of individualised learning. In particular, these reflections focus on the tensions and antinomies that derive from issues of individualise. School actors deal with these issues in a very situational and contextual way. Secondly, it can be shown that teachers critically discuss the special potentials of digital media. In doing so, they perceive digital media both as a tool for teaching and as an object of teaching. This points to a strong awareness of the challenges of digital education in the 21st century.
The findings will be discussed against the background of current European discourses and research results about the prerequisites for the use of ICT in teaching and learning.  

References
Behrensen, B. & Solzbacher, C. (2012). Grundwissen Hochbegabung in der Grundschule. Weinheim: Beltz Verlag.
Brühwiler, C. & Vogt, F. (2020). Adaptive teaching competency. Effects on quality of instruction and learning outcomes. Journal for educational research online 12, 1, S. 119-142 - URN: urn:nbn:de:0111-pedocs-191216 - DOI: 10.25656/01:19121
Eickelmann, B. & Drossel, K. (2019). Digitalisierung im deutschen Bildungssystem im Kontext des Schulreformdiskurses. In N. Berkemeyer, W. Bos & B. Hermstein (Hrsg.), Schulreform (S. 445-458). Beltz Verlag: Weinheim.
Gerick, J., Eickelmann, B. & Bos, W. (2017). Zum Stellenwert neuer Technologien für die individuelle Förderung im Deutschunterricht in der Grundschule. In F. Heinzel & K. Koch (Hrsg.), Individualisierung im Grundschulunterricht (S. 131-136). Wiesbaden: Springer VS.
Holmes, W., Anastopoulou, S., Schaumburg, H. & Mavrikis, M. (2018). Personalisiertes Lernen mit digitalen Medien. Stuttgart: Robert Bosch Stiftung.
Kunze, I. (2008). Begründungen und Problembereiche individueller Förderung in der Schule. In I. Kunze & C. Solzbacher (Hrsg.), Individuelle Förderung in der Sekundarstufe I und II (S. 13 – 26). Baltmannsweiler: SchneiderVerlag Hohengehren.
Mayring, P. (2021). Qualitative Content Analysis. SAGE Publications.
Petko, D., Schmid, R., Pauli, C., Stebler, R. & Reusser, K. (2017). Personalisiertes Lernen mit digitalen Medien. Journal für Schulentwicklung, (3), 31-39.


16. ICT in Education and Training
Paper

Fathers’ Involvement in the Mediation of their Young Children’s Digital Media Practices in Azerbaijan

Sabina Savadova

The University of Edinburgh, United Kingdom

Presenting Author: Savadova, Sabina

This qualitative study explores young children’s digital media practices in a home setting in Azerbaijan, a former Soviet country. The study provides rich insights into young children’s digital media practices and their parents’ mediation strategies which have not been researched before. Practices are the ways people interact with or incorporate objects and actions into their everyday lives and are influenced by social and cultural worldviews. I draw on the definition of digital media practices from Merchant (2012, p.772) as “the ‘doings’, ‘sayings’ and ‘relatings’” that constitute the social actions of everyday life.

The ongoing changes in the education system of Azerbaijan, such as the recent embedding of digital technologies in primary education, made Azerbaijan an attractive research setting for this study. Given the considerable impact of parents on their children’s education, the role of the home context presented an exciting opportunity to explore influences on parents’ views on and involvement in their children’s digital media practices. This study responds to calls for research into young children’s digital media practices in different countries and cultures in the Global South ( Nikken, 2017; Shin & Li, 2017).

Parental involvement in young children’s digital media use plays a crucial role in positively fostering children’s digital media practices (Connell et al., 2015; Nikken, 2017; Plowman et al., 2008). Fathers are often found to play video games with their children instead of mothers who prefer reading books with them (Connell et al., 2015; Padilla‐Walker et al., 2012). In previous studies, researchers have primarily included mothers when conducting family visits (Livingstone et al., 2015). However, there is a need for more research revealing and explaining fathers’ engagement in their children’s interactions with digital media (Tang et al., 2018). Azerbaijan is a patriarchal society where most of the duties related to child-rearing are left to mothers (Najafizadeh, 2012), which heightens the importance of inquiring about fathers’ involvement in children’s interactions with digital technologies. I will explore fathers’ opinions on their children’s uses of digital technologies, as well as their involvement in their children’s digital media practices through revisiting own childhoods (Cole, 1998).

I aim to explore the following research question.

What are the ways in which fathers in Azerbaijan are involved in the mediation of their young children’s digital media practices?

My study is guided by Tudge's (2008) contextualist ecocultural theory drawing on the everyday practices and interactions among individuals, cultures, and activities (re)shaping children’s daily lives. I also draw on Cole's (1998) concept of prolepsis, which constitutes a considerable part of the theoretical framework drawn for this study. Cole’s concept has roots in the field of developmental psychology, and even though my study is far from this field and is carried out on a small scale, I find prolepsis a good fit for the study to elaborate on fathers’ involvement in their children’s digital media practices. Cole (1998) applies the concept of prolepsis to the practice of childrearing and, in this context, explains it as a process of imagining their child’s future and then channelling the child’s present to meet the expectations of this imagined future. This phenomenon is undoubtedly informed by the culture of parents, rooted in their own past experiences and upbringings, and therefore, the parents’ beliefs and the projection of the desired future for their children can often become a ‘materialised constraint’ on the present experiences of the child (Cole, 1998, p. 184). Cole (ibid) only mentioned mothers when explaining prolepsis. Scrutinizing fathers’ views on their children’s digital media uses through the concept of prolepsis can help explain why the fathers were not inclined to develop their children's digital skills early on.


Methodology, Methods, Research Instruments or Sources Used
Given the complexity of real-life contexts (Thomas, 2011), I used multiple case study as I believe that knowledge is co-constructed by the researcher and researched, and by employing a case study, it is possible to reveal multiple interpretations and provide detailed and thick descriptions for each case (Stake, 2006). Five families, each with a five-year-old child, participated in multiple case studies over a period of 15 months during 2018-2019. The study generated data through a total of 15 family visits in Baku, the capital of Azerbaijan. Each family visit consisted of various activities, including participatory methods with mothers and children separately. In addition, a new participatory method - the ‘living journals’ was developed to explore further children’s digital media practices within their home settings.
 The living journal method borrows elements from Tobin and his colleagues’ Video-Cued Ethnography (Tobin et al., 1989) and Plowman and Stevenson’s (2012) mobile phone diaries method. The method facilitated a remote exploration of children’s daily lives: mothers were invited as proxy researchers, thereby decentring the researcher in the data generation process. During two weeks at different times of the year – school term and holiday break – I asked mothers to send me pictures or videos of their children, which they were to capture at pre-arranged times and prompted at certain intervals. I compiled those pictures and stills from videos to create custom-designed paper journals for each child in print and digital formats and later used them as prompts in acquiring all family members’ opinions on the activities depicted in the journals. Mothers, together with the participant child, and fathers separately commented both on the completed journals relating to their own child, as well as those created by other participant children. The journals existed in both physical and digital formats and were a source of visually rich multimodal, multivocal, metatextual, and multifunctional data.
Parents and children consented to share their visuals in publications and conference presentations. Children’s ongoing consent was approached with great care and attention, considering its full complexity and holistic nature (Kustatscher, 2014). The analysis in my study was synchronised with the data generation and was iterative in nature (Patton, 2015), mainly drawing on the constructivist approaches (Miles et al.,2014).

Conclusions, Expected Outcomes or Findings
The living journals method revealed fathers’ views on and the extent of their involvement in their children’s digital practices. Fathers expected their children’s future to be 'digital'. However, they were still hesitant to project this vision of the future on their current activities and decisions on the mediation of their children’s daily digital practices. The fathers introduced games to their children, which tended to be the types of games designed for adults or allowed their children to use their phones to some extent to play games or watch their fathers playing games. Since fathers expected mothers to take care of their children, they saw the mediation of their children’s digital media practices as part of general childcare.
Cole (1998) explains prolepsis as parents returning to their childhoods, projecting their childhoods on their children’s future, and acting on them in the current moment. All the participant fathers had been introduced to computers and phones in their early adulthood, and four of them projected their own experiences on their children’s future. Being content with their own current competence in digital technology, they saw no issues with restricting their children’s access, with the underlying logic being that if they learned to use computers in their adulthood, so could their children, and there was no need to get started on this journey early. They seemed determined to try and prevent their children from using digital devices at a young age. Fathers were mainly authoritative figures within families who initiated or sometimes participated in setting the rules for their children’s access to digital media. Mothers were found to be in charge of overseeing the day-to-day implementation of such established rules with more direct control over how their children engaged with digital media. To use a metaphor, fathers held legislative powers and mothers held executive powers.


References
Cole, M. (1998). Cultural psychology: A once and future discipline. Harvard University.
Connell, S. L., Lauricella, A. R., & Wartella, E. (2015). Parental co-use of media technology with their young children in the USA. Journal of Children and Media, 9(1), 5-21.
Kustatscher, M. (2014). Informed consent in school-based ethnography: Using visual magnets to explore participation, power and research relationships. International Journal of Child, Youth and Family Studies, 5(4.1), 686-701.
Livingstone, S., Mascheroni, G., Dreier, M., Chaudron, S., & Lagae, K. (2015). How parents of young children manage digital devices at home: The role of income, education and parental style (EU Kids Online, Issue.
Merchant, G. (2012). Mobile practices in everyday life: Popular digital technologies and schooling revisited. British Journal of Educational Technology, 43(5), 770-782.
Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook. 3rd. Sage publications.
Najafizadeh, M. (2012). Gender and ideology: Social change and Islam in post-soviet Azerbaijan. Journal of Third World Studies, 29(1), 81-101.
Nikken, P. (2017). Implications of low or high media use among parents for young children’s media use. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 11(3).
Padilla‐Walker, L. M., & Thompson, R. A. (2005). Combating conflicting messages of values: A closer look at parental strategies. Social Development, 14(2), 305-323.
Patton, M. Q. (2015). Qualitative research & evaluation methods : integrating theory and practice (Fourth edition.. ed.). SAGE Publications.
Plowman, L., McPake, J., & Stephen, C. (2008). Just picking it up? Young children learning with technology at home. Cambridge Journal of Education  38(3), 303-319.
Plowman, L., & Stevenson, O. (2012). Using mobile phone diaries to explore children’s everyday lives. Childhood, 19(4), 539-553.
Shin, W., & Li, B. (2017). Parental mediation of children’s digital technology use in Singapore. Journal of Children and Media, 11(1), 1-19.
Stake, R. E. (2006). Multiple case study analysis. The Guilford Press.
Tang, L., Darlington, G., Ma, D. W. L., & Haines, J. (2018). Mothers’ and fathers’ media parenting practices associated with young children’s screen-time: A cross-sectional study. BMC Obesity, 5(1), 1-10.
Thomas, G. (2011). A typology for the case study in social science following a review of definition, discourse, and structure. Qualitative Inquiry, 17(6), 511-521.
Tobin, J. J. (2019). The Origins of the Video-Cued Multivocal Ethnographic Method. Anthropology and Education Quarterly, 50(3), 255-269.
Tudge, J. R. H. (2008). The everyday lives of young children : culture, class, and child rearing in diverse societies. Cambridge University Press.


16. ICT in Education and Training
Paper

The Interplay Between Understandings of Inclusion and the Selection of of Digital Educational Materials - an International Comparative Perspective

Christoph Bierschwale, Michaela Vogt

Bielefeld University, Germany

Presenting Author: Bierschwale, Christoph; Vogt, Michaela

Topic, objective

Inclusion research is an extensive field of research, which manifests itself, for example, in the area of professionalization of teachers and in the discussion about the basic understanding of inclusive schooling, even if the term "inclusion" itself is and remains diffuse (see, for example, the research of Nilholm & Göransson 2017; Löser & Werning 2013). However, a understudied research field that is based on a very broad understanding of inclusion is the relationship between respective prevailing understandings of inclusion and digital educational materials such as learning platforms in different cultural contexts. Digital learning platforms can be distinguished from other software solutions on the basis of their functions. According to Petko, digital learning platforms offer the possibility of managing knowledge content, and they also enable communication, e.g. through forums. There is also the possibility of setting tasks and timelines. Learning platforms also offer the possibility of conducting exams and also enable course management (Petko 2010). Thus, in the German-speaking but also international discourse, there is hardly any research literature so far that deals with the exclusive elements of learning platforms from an international-comparative perspective (see e.g. Richardson & Powell 2011; Budde, Blasse & Johansen 2017). Furthermore, it is noted that work on countries in the Global South is largely lacking, and this includes, in particular, work on the education system in Singapore (e.g., Hung, Chen & Wong 2006; Singal, Lynch, & Johansson 2018). The focus of the following study is on a comparison between Estonia, a country that can be considered a pioneer in the implementation of digital media, and Germany, which is still lagging behind in the expansion of digital offerings (Reiss et al. 2019). In addition to this binary comparative perspective, a contrast is made with Singapore, which is also considered a leader in the field of digital education (Reiss et al. 2019). The research focus brings the diversity of educational systems and values into focus and, in connection with the theme of the conference, shows potentials through the exchange of best practices.

Theory

The developments in a school and the behaviour of the people in the organisation also with regard to the selection of digital teaching materials cannot be viewed in isolation, but always in interaction with other systems such as the law, the economy and society as a whole. Only this systems-theoretical understanding makes it possible to understand and explain the actions of the individual against the background of social institutions. An essential theoretical access to the interrelationships is offered by the theory of Helmut Fend in his "New Theory of Schools" (2008). Fend points out that action in the school is consists of normative sets of rules consisting of "duties and rights", according to which persons orientate their actions (Fend 2008, p. 172).

Comparisons between countries make it clear that education systems can be organised in very different ways. The federal system in Germany contrasts with a centrally controlled education system in Singapore and an education system in Estonia that is an education system that is strongly characterised by networks with the business community.

Based on the theoretical assumptions, questions are addressed on two levels

At the level of understandings of inclusion: What concept of inclusion can be found in policy documents and in group discussions with teachers and political decision-makers? Here, document analysis and interviews are used for methodological implementation.

At the level of digital teaching materials: How do teachers use digital learning platforms? What exclusive elements are there in learning platforms? Here, classroom observation is necessary, as well as qualitative content analysis of corresponding learning platforms.


Methodology, Methods, Research Instruments or Sources Used
The methodological approach is based on an international comparative research approach in which experiences from other countries can be used to reflect on own education policies and to learn from the experiences (Amaral 2015). The comparative  analysis in this study has two main functions: In terms of knowledge generation, especially the elaboration of categories. In comparing data and material matching categories (and thus focal points) but also differences between category systems come more into view. In addition, learning from the experiences of other countries is made possible. Furthermore, the approach of Participatory Action Research is used. This approach can be summarised as follows: “It seeks to bring together action and reflection, theory and practice, in participation with others, in the pursuit of practical solutions to issues of pressing concern to people, and more generally the flourishing of individual persons and their communities" (Reason & Bradbury 2008, p. 4). Co-researchers in this Participatory Action Research project are in particular pupils, teachers, parents, representatives of school administrators and IT entrepreneurs (Klüver & Krüger 1972; Kramer, Kramer & Lehmann 1979; Cornwall & Jewkes 1995; Reason & Brady 1995). In addition to these methodological foundations, different methods are triangulated in order to answer the corresponding research questions according to the theoretical assumptions.

With reference to methods of the study, document analysis and group interviews will be used. Within the framework of the document analysis central education policy documents are analysed. In Singapore, the following strategies of the Ministry of Education are of particular relevance with regard to digital educational materials: "Teach Less, Learn More" (TLLM) from 2013 and "Thinking School, Learning Nation" from 1997.  The strategies are available in an authorised English version. In Estonia, the Republic of Estonia Education Act of 1992 is of particular relevance, as it institutionalises decision-making structures on education policy. In addition to the analysis of the context, the digital teaching materials themselves will also be examined through a qualitative content analysis. With reference to the group discussions, an important selection criterion in the schools was that the schools work with digital educational materials. We were able to win corresponding cooperation schools and conducted the group discussions in 2022. The evaluation is largely completed and the first results are available. Furthermore, 14-day research visits were conducted in both countries. During these visits, the interviews were conducted. A standardized questionnaire was used to conduct the interviews.

Conclusions, Expected Outcomes or Findings
With reference to the answer to the first research question, it can be stated that teachers in Estonia are largely influenced by a narrow understanding of the concept of inclusion. In this context, pedagogical diagnostics play a special role, as does the distinction between children with learning disorders and children without learning disorders. There are also differences between schools in rural areas and schools in urban areas. Thus, rural schools were relatively less confronted with cultural heterogeneity. There were very few students who did not speak Estonian as their first language. No differentiated debate about inclusion can be found in the educational documents or in the interviews with teachers. With reference to Singapore, a rather narrow understanding of inclusion could also be found in the documents, which refers to special education criteria and psychological diagnostics.
 
With regard to the second research question, it can be stated that only few individualizing digital offers are provided in view of the special needs of the pupils in Estonia. Digital media are used in particular for quizzes and learning status queries. For example, there is no language support in the learning platforms for children without knowledge of the language of instruction; the same finding could be found in digital learning platforms in Singapore.  In Singapore, a variety of apps could be found that are used to activate students, but without taking into account specific needs, e.g. with regard to gender or cultural heterogeneity.

References
Amaral, M. (2015). Methodologie und Methode in der International Vergleichenden Erziehungswissenschaft. In: Parreira do Amaral, M., Amos, S. (Ed.) Internationale und Vergleichende Erziehungswissenschaft. Geschichte, Theorie, Methode und Forschungsfelder. Münster: Waxmann, p. 107-1.
Budde, J., Blasse, N., & Johannsen, S. (2017). Praxistheoretische Inklusionsforschung im Schulunterricht. Zeitschrift für Inklusion, (4). Abgerufen von https://www.inklusion-online.net/index.php/inklusion-online/article/view/358
Cornwall, A., & Jewkes, R. (1995). What is participatory research? Social Science & Medicine, 41 (12),p. 1667–1676.
Fend, H. (2008). Neue Theorie der Schule. Einführung in das Verstehen von Bildungssystemen. Wiesbaden: VS Verlag.
Hung D., Chen D., Wong A. (2006). An Overview of Virtual Learning Environments in the Asia-Pacific: Provisos, Issues, and Tensions. In: Weiss J., Nolan J., Hunsinger J., Trifonas P. (Ed.) The International Handbook of Virtual Learning Environments. Springer, Dordrecht. https://doi.org/10.1007/978-1- 4020-3803-7_27.
Klüver, J., & Krüger, H. (1972). Aktionsforschung und soziologische Theorien: Wissenschaftstheoretische Überlegungen zum Erkenntnisinteresse in der Aktionsforschung. In F. Haag, H. Krüger, W. Schwärzel, & J. Wildt (Ed.), Aktionsforschung: Forschungsstrategien, Forschungsfelder und Forschungspläne. München: Juventa, p. 76 – 99.
Kramer, D., Kramer, H., & Lehmann, S. (1979). Aktionsforschung: Sozialforschung und gesellschaftliche  Wirklichkeit. In K. Horn (Ed.), Aktionsforschung: Balanceakt ohne Netz? Methodische Kommentare.   Frankfurt a. M.: Syndikat, p. 21 – 40.
Nilholm, C. & Göransson, K. (2017). What is meant by inclusion? An analysis of European and North American journal articles with high impact, European Journal of Special Needs Education, 32:3, 437-451, DOI: 10.1080/08856257.2017.1295638.
Petko, D. (2010). Lernplattformen, E-Learning und Blended Learning in Schulen. In: Petko, D. (Ed.) Lernplattformen in Schulen: Ansätze für E-Learning und Blended Learning in Präsenzklassen. Wiesbaden: VS Verlag, p. 9 – 29.
Reason, P., & Bradbury, H. (2001). Introduction: Inquiry and participation in search of a world worthy of human aspiration. In Reason, P. & Bradbury, H. (Ed.), Handbook of action research. London: Sage, S. 1 – 14.
Reiss K., Weis, M. Klieme E. Köller, O. (2019) Grundbildung im internationalen Vergleich. Münster: Waxmann.
Richardson, John & Powell Justin J.W. (2011). Comparing Special Education: Origins to Contemporary Paradoxes. Stanford, CA: Stanford University Press.
Singal, N.; Lynch, P.; Johansson, S. (2018). Education and Disability in the Global South: New Perspectives from Africa and Asia. London: Bloomsbury Academic.
 
5:15pm - 6:45pm16 SES 13 A: Fostering School Development and Quality of Teaching
Location: Gilmorehill Halls (G12), 217A [Lower Ground]
Session Chair: Julia Gerick
Paper Session
 
16. ICT in Education and Training
Paper

"How Can School Actually Change - with the new Possibilities?" A Mixed-Methods Study on School Development through Digital Learning Management Systems

Julia Frohn, Marcela Pozas

Humboldt-Universität zu Berlin, Germany

Presenting Author: Frohn, Julia; Pozas, Marcela

As necessary basic infrastructure of a school (cf. Breiter 2021, 568), digital learning management systems (LMS) have been used in universities and schools since around the turn of the millennium. However, their usage in schools has rapidly increased in the course of the Covid-19-pandemic (Helm & Postlbauer 2021), opening the desideratum, which role these platforms can play in (inclusive) school development processes and which potential disadvantages may arise from them.

LMS can be defined as the totality of available platforms, services, software solutions, learning tools and educational media that significantly support content-related and organizational work as well as collaboration in educational settings for teachers, students and, if applicable, other stakeholders (cf. Breiter et al. 2021, 5). While recent studies have focused, for example, on diversity-oriented functions of LMS to support self-regulated learning (Reynolds 2016), to provide individualized (Hase et al. 2022) or differentiated (Frohn & Pozas 2021a) instruction, to enable teacher cooperation (Frohn & Bengel 2022) or to improve parents’ participation in school processes (Bradley 2022), little is known about the potential role of LMS in processes of (inclusive) school development.

This study therefore aims at identifying means and functions of LMS for possible fields of school and lesson development. Based on the assumption that school development should always aim at the value of diversity in schools and lessons, we follow a mixed-method approach (see below) to shed light on the following research questions:

  • Which areas of inclusive school development can be supported using LMS?
  • Which areas of teaching and learning in heterogeneous groups can be supported using LMS?
  • Which students’ competencies can be fostered using LMS?
  • How can LMS support differentiated instruction?
  • What are the obstacles in using LMS for school development?
  • What dangers do teachers perceive in the use of LMS?

In order to explore the research questions, our study consists of two sequential stages: First, we conducted interviews in three cycles (2020, 2021, 2022) among Berlin teachers at schools with a high percentage of students from low-income households (Frohn 2021; Frohn & Pozas 2021b; Frohn & Bengel 2022). While the data showed that the role of LMS at Berlin secondary schools changed quite rapidly, these changes took different turns: According to the interviewees, LMS were hardly used during the first school closures in Germany. The data from the second survey phase suggest a clear development in the use of LMS, both in quantity and quality, which was discussed in almost all interviews. However, the third round showed different developments: While some schools made the use of LMS mandatory and thereby started to implement school development through the use of LMS, other schools almost stopped using LMS completely as soon as regular classes were held again. These findings led to the question if these first findings applied to other schools in Germany, and how the data could be used for diversity-sensitive developmental processes in potential hybrid school settings.

Therefore and secondly, based on the qualitatively generated categories, we developed an instrument in order to validate our findings from the interview study and to learn more about teachers’ use of LMS in the whole of Germany. The questionnaire is currently being shared through various means, and up to now has a sample of 402 primary and secondary school teachers in Germany.

The preliminary quantitative findings seem to confirm the interview data (see below).


Methodology, Methods, Research Instruments or Sources Used
The study follows a mixed-methods approach, using (1) exploratory, qualitative findings to (2) design an instrument for further quantitative research. In 2020, 2021 and 2022, semi-structured teacher-interviews were conducted longitudinally among Berlin teachers at schools with a high percentage of students from low-income families (April 2020: N=16; April-June 2021: N=14; February-May 2022: N=13). About three quarters of the interviewed teachers work at community schools and integrated secondary schools, about one quarter at grammar schools. The semi-structured interviews were conducted via video call (average 47 minutes), recorded, anonymized and transcribed in a simplified form according to Dresing et al. (2015). Using MAXQDA, the data were analyzed qualitatively according to Kuckartz (2018) and categorized inductively-deductively.
With regards to the questionnaire development, following the inductively-deductively explored category system, the extracted units of meaning were inductively structured into statements which were transformed into the questionnaire items. A total of 35 items with a 4-point Likert scale ranging from 1 (strongly disagree) to 4 (strongly agree) were developed. Examples of such items are: “The use of digital LMS is an important tool for the development of hybrid teaching-learning forms”, “The use of digital LMS requires a reorganization of information technology teaching and learning environments”, or “The use of digital LMS does not allow for more comprehensive differentiation in everyday teaching”. At the time of submission, the sample consists of N=402 primary and secondary school teachers in Germany.

Conclusions, Expected Outcomes or Findings
At this time in the research process, the quantitative research is still ongoing, since the online-questionnaire has not been closed yet. Therefore, the findings, discussion and the implications of the study will all be presented at the conference. However, the current state of data suggests that the exploratory findings from the interview data can be confirmed through the quantitative analysis. Following the first interpretations, LMS seem to be a useful tool in processes of school development: In combination with comprehensive qualification measures, LMS can contribute to teacher cooperation, lesson development, documentation of learning processes, differentiated instruction, parent participation and more transparent coordination of school and lesson processes.
However, teachers also address important points of criticism. According to the data, increasing digitalization can lead to a shift in boundaries – both in terms of time and space – between the working and the private world, possibly increasing the already heavy workload of teachers and students through potentially constant accessibility. In addition, the data also show the concern that school as a social space might be neglected by the increasing use of digital tools, since the digital exchange cannot do justice to the direct exchange.
In summary, this paper shows how using LMS in schools can contribute to diversity-sensitive school development while pointing out possible risks for the stakeholders involved. From these results, options for action will be discussed, aiming at how school and lesson development can be improved through using LMS towards hybrid settings of teaching and learning.

References
Bradley, V. (2022). Middle School Parents‘ Beliefs Regarding Learning Management System Use in Mathematics. Istes.

Breiter, A. (2021). Strategische Planung einer lernförderlichen IT-Infrastruktur für Schulen. In G. Brägger & H.-G. Rolff (ed.), Pädagogik. Handbuch Lernen mit digitalen Medien (p. 567–577). Beltz.

Breiter, A., Müller, M., Telle, L. & Zeising, A. (2021). Digitalisierungsstrategien im föderalen Schulsystem: Lernmanagementsysteme und ihre Betriebsmodelle. https://www.telekom-stiftung.de/sites/default/files/ifib-lernplattformen-final.pdf (20.1.2023).

Desing, T. ,Pehl, T., & Schmieder, C. (2015). Manual (on) Transcription. 3rd English edn. Marburg.  

Frohn, J. (2021). Troubled schools in troubled times: How COVID-19 affects educational inequalities and what measures can be taken. European Educational Research Journal. https://doi.org/10.1177/14749041211020974

Frohn, J. & Bengel, A. (2022). Impulse zur Lehrkräftekooperation durch die Nutzung digitaler Lernmanagementsysteme (LMS) – „… nicht nur gemeinsame Absprachen, sondern wirklich eine gemeinsame Planung“. In J. Frohn, A. Bengel, A. Piezunka, T. Simon & T. Dietze (ed.), Inklusionsorientierte Schulentwicklung (p. 49-60). Klinkhardt.

Frohn, J., & Pozas, M. (2021a). Using Differentiated Instruction (DI) through digital Learning Management Systems (LMS) – How LMS can change teaching and learning in heterogeneous learning groups. European Conference on Educational Research (ECER) held in Yerevan (presentation online)

Frohn, J., & Pozas, M. (2021). „Und das Schwierigste ist und bleibt halt, alleine zu lernen“: Eine explorative Untersuchung zum Lehren und Lernen auf Distanz in der Oberstufe. WE_OS Jahrbuch, 4(1), 84–105. https://doi.org/10.11576/weos-4944.

Hase, A., Kahnbach, L., Kuhl, P. & Lehr, D. (2022). To use or not to use learning data: A survey study to explain German primary school teachers’ usage of data from digital learning platforms for purposes of individualization. Front. Educ. 7:920498. doi: 10.3389/feduc.2022.920498

Helm, C. & Postlbauer, A. (2021). Schulschließungen in Österreich – Ein Fazit nach einem Jahr Pandemie. Psychologie in Erziehung und Unterricht 68 (4), 306–311. https://doi.org/10.2378/peu2021.art27d

Kuckartz, U. (2018). Qualitative Inhaltsanalyse. Weinheim: Beltz.

Reynolds, R. B. (2016). Relationships among tasks, collaborative inquiry processes, inquiry resolutions, and knowledge outcomes in adolescents during guided discovery-based game design in school. Journal of Information Science, 42, 35–58. https://doi.org/10.1177/0165551515614537


16. ICT in Education and Training
Paper

Dimensions of Teaching Quality at Organisationally Resilient Schools in the Digital Age. Qualitative In-Depth Study towards ICILS

Anna Oldak, Dr. Kerstin Drossel, Prof. Dr. Birgit Eickelmann, Nadine Fröhlich, Ricarda Bette

University Paderborn, Germany

Presenting Author: Oldak, Anna

The digitalization of every part of personal life challenges schools to prepare students with digital skills needed to handle future expectations in their professional life and to ensure that students have the skillset to be an engaged part of society (Aljanazrah et al., 2022). In this light, initiatives such as the Digital Education Plan of the European Commission or organizations such as the OECD (2020) identify computer- and information-related skills as a central aim of today’s education (European Commission, 2020). In this context, the large-scale assessment (LSA) International Computer and Information Literacy Study (ICILS) of the International Association for the Evaluation of Educational Achievement (IEA) observed that eighth-graders’ computer and information literacy (CIL) is subject to tremendous social disparities in all participating countries (Fraillon et al., 2019). Against the results that students from low socioeconomic status backgrounds score on average significantly lower in all countries that participated in ICILS, a minority of the schools scored high despite their low-SES student body composition (Drossel et al., 2020) and have overcome the digital disparities. Referring to the psychological trait of resilience, these schools are regarded as organizationally resilient (Henderson & Milstein, 2003).

Research on organizationally resilient schools in other educational domains, such as reading, mathematics, or science, suggests that organizationally resilient schools differ from nonresilient schools in their input and process characteristics (Agasisti et al., 2018). For the field of CIL it is shown that the phenomenon of organizational resilience is also widespread in CIL internationally and that the prevalence of resilient schools varies across the selected education systems participating in IEA-ICILS (Drossel et al., 2020). Furthermore, it is demonstrated that organizationally resilient schools share common school characteristics (ibid.).

Nevertheless, the question of how teachers and learners can use digital media to shape teaching and learning processes has not yet been answered in the context of the conditions of digitality in resilient schools. To analyze teachers' use of digital media to promote learning in resilient schools in more detail, this contribution draws on the theory of three basic dimensions of teaching quality (effective classroom management, cognitive activation, supportive climate) (Praetorius et al., 2018). For effective classroom management, research on the use of digital media to support learning at the instructional level suggests that the impact on learning success depends on the learning environment, social form, and modalities (Antoine et al., 2018). With regard to cognitive activation, studies show that digital media contributes to positive changes in effort (Fütterer et al., 2022; Labonté & Smith, 2022). As for the supportive climate, research shows that the introduction of digital media for teaching is perceived as supportive (Hammer et al., 2021). Overall, however, it remains unclear how schools use digital media in the classroom. Therefore, the value of diversity in education can be seen from the link between diversity and the use of digital media. Thus, the desideratum primarily relates to the design of teaching and learning processes in resilient schools, taking into account the three basic dimensions of teaching quality. This contribution therefore focuses on the following research question:

  1. How do resilient schools in Germany conduct the use of digital media to promote learning at the instructional level, taking into account the three basic dimensions of teaching quality such as effective classroom management, cognitive activation, and supportive climate?

Methodology, Methods, Research Instruments or Sources Used
The in-depth study on unexpectedly successful schools (UneS-ICILS), funded by the Ministry of Education (BMBF) from 10/2023 til 12/2023 examines precisely these resilient schools. For this purpose, a triangulated research design by analyzing interviews, school documents, videos of school lessons and secondary analysis of ICILS 2018 data is used to identify success factors and common characteristics of the schools that contribute to overcoming digital disparities. From the IEA-ICILS data, 15% (N=36) of the participating schools in Germany are identified as organizationally resilient (Drossel et al., 2020). In these schools the mean socio-economic status (SES) of the eighth graders is below average (lower 40% in Highest International Socio-Economic Index of Occupational Status) and the mean digital competencies can be classified as above average in the overall representative distribution for Germany (Drossel et al., 2020).
To answer the research question, interviews and classroom videos were analyzed. Interviews with 7 groups with 5 pupils each and 14 interviews with teachers were organized in the time of 07/09/2021 until 10/01/2022 and analyzed using qualitative content analysis (Mayring, 2004). For the evaluation, deductive and inductive codes were created based on the theory used. For efficient classroom management relevant codes were aspects of heterogeneity, organization and structure, self-directed learning, efficient and goal-oriented use of media. For supportive learning environment the codes support regarding the use of media, usage of media as additional class, common work on concepts, and individual attitude towards media emerged. For cognitive activation the codes cognitive activation using digital tools, videos and software for learning and difficulties of long lasting focus were developed.
The observation sample of videos using a quantitative approach (Riordan, 2022) was collected from 11/11/2021 to 11/26/2021 and a total of 12 classroom videos have been recorded at 4 schools. The quality of teaching is assessed by means of an estimation procedure with which the extent of a characteristic was classified in a 1 (is not met) to 4 (met to a great extent) value scale (Ingram et al., 2020). Based on the theory used observers focused regarding efficient classroom management on structuring of the media, dealing with technical glitches, differentiation through media and the pedagogical use of media. Supportive learning environment was assessed by the codes participation in class discussion through media and mutual support in the use of media. The aspect cognitive activation was rated regarding the use of media for comprehension and use of multimedia representations.

Conclusions, Expected Outcomes or Findings
The results of the interviews show for efficient classroom management, that support for students in dealing with heterogeneity, media used for exercises differentiated according to knowledge levels, simplified organization of lessons are important factors. Self-directed learning can be promoted by uploading assignments, with leaving the responsibility for completing with the pupils. Also, teachers themselves use media multifaceted. Regarding supportive learning environment, teachers and pupils support each other and mostly additional offerings are provided in e.g. advanced courses. Media concepts were developed jointly and the use shows to depend on individual attitude. The use of tools can stimulate cognitive activation by providing content in a more application-oriented way. The use of learning videos can enable the deepening of content. However, it has shown difficulties in focusing longer.
The video analysis shows for classroom management that a structure and a common thread were evident in the media, and teachers dealt effectively with technical disruptions. However, aspects of differentiation through media were little observed and media were hardly used to stimulate cooperative forms of learning.  In the case of supportive learning environment, it was found that all or a majority of the students were able to access devices and in dealing with media in the case of technical malfunctions, mutual support was provided resulting in effective solutions. In the case of cognitive activation, there is room for improvement in that media were used to communicate or practice more efficiently, but not used at all to expand knowledge. Also, none of the observed classes reached the highest level of multimedia representation.
The results are also of great interest at the european level, as they are addressed as an important factor to manage “the risk of an […] digital divide” (European Comission, 2020, p. 2). in the Digital Education Action Plan (2021-2027).

References
Agasisti, T., Avvisati, F., Borgonovi, F. & Longobardi, S. (2018). Academic resilience: What schools and countries do to help disadvantaged students succeed in PISA. OECD Education Working Papers 167, OECD Publishing.
Aljanazrah, A., Yerousi,s G., Hamed G. & Khlaif, Z.N. (2022). Digital transformation in times of crisis: Challenges, attitudes, opportunities and lessons learned from students’ and faculty members’ perspectives. Front. Educ. (7), 1-14. https://doi.org/10.3389/feduc.2022.1047035.
Antoine, F. M., Nu-Man, M. R. & Reyes-Aceytuno, E. (2018). Classroom Management. In M. Rhoads and B. (Eds.), Stachowiak Igniting Your Teaching with Educational Technology. A Resource for New Teachers. Pressbooks. https://pressbooks.pub/edd7032017f2/chapter/1/.
Drossel, K., Eickelmann, B. & Vennemann, M. (2020). Schools overcoming the Digital Divide – In depth analyses towards organizational resilience in the computer and information literacy domain. Large-scale Assessments in Education (8), 1–19. doi.org/10.1186/s40536-020-00087-w.
European Comission (2020). Digital Education Action Plan. 2021-2027. Resetting education and training for the digital age. https://education.ec.europa.eu/sites/default/files/document-library-docs/deap-communication-sept2020_en.pdf.
Fraillon, J., Ainley, J., Schulz, W., Friedman, T. & Duckworth, D. (2019). Preparing for Life in a Digital World. IEA International Computer and Information Literacy Study 2018 International Report. Camberwell. Springer.
Fütterer, T., Scheiter, K., Cheng, X., Stürmer, K. (2022). Quality beats frequency? Investigation students’ effort in learning when introducing technology in classrooms. Contemporary Educational Psychology (69), 2-20.
Hammer, M., Göllner, R., Scheiter, K., Fauth, B., & Stürmer, K. (2021). For whom do tablets make a difference? Examining student profiles and perceptions of instruction with tablets. Computers & Education. (166), 104-147. https://doi.org/10.1016/j.compedu.2021.104147.
Henderson, N. & Milstein, M. (2003). Resiliency in schools: Making it happen for students and educators. Sage Publication.
Ingram, J., Lindorff, A., Sani, N., McCann, E. & Riggall, A. (2020). TALIS Video Study:
National Report. Research summary. Department for Education. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1027792/TVS_England_summary_report_for_Schools.pdf.
Labonté, C. & Smith V.R. (2022). Learning through technology in middle school classrooms: Students’ perceptions of their self-directed and collaborative learning with and without technology. Educ Inf Technol 27, 6317–6332 (2022). https://doi.org/10.1007/s10639-021-10885-6.
Mayring, P. (2004). Qualitative content analysis. A companion to qualitative research, 1(2), 159-176.
OECD (2020). Education at a Glance 2020: OECD Indicators, OECD Publishing, Paris, https://doi.org/10.1787/69096873-en.
Praetorius, A. K., Klieme, E., Herbert, B. & Pinger, P. (2018). Generic dimensions of teaching quality: The German framework of three basic dimensions. ZDM, 50 (3), 407-426.
Riordan, J.-P. (2022) A method and framework for video-based pedagogy analysis. Research in Science and Technological Education. (40:1), 53-75. DOI: 10.1080/02635143.2020.1776243.


16. ICT in Education and Training
Paper

The Effects of Surrounding Factors and School Environment on Upper Secondary School Teachers Didactic Use of Digital Learning Resources

Lena Gleisner Villasmil

Mälardalen University, Sweden

Presenting Author: Gleisner Villasmil, Lena

We live in the 21st century and many forms of social and cultural diversity is seen in digital forums since we live in a digital society. We are in many ways dependent on digital resources to be able to perform various socially obligatory functions in work, study, and everyday life. The digital resources connect people with each other and erase the limits between the surrounding word, society, school, and the teaching situation (Säljö, 2019). Schools in Europe have been gradually digitized especially since the 1990s and the curriculum emphasize that teachers should give all students the opportunity to develop their ability to use digital resources and to prepare for the surrounding society (Lundgren, 2014). The expression digital learning resources (DLR) is an expanded cumulative concept for digital technology and in this paper, it refers to any kind of digital resource that is used in education (Nilsen, et al., 2020; OECD, 2009; Selander, 2017; Wallin, et al., 2017). Although the access to digital resources in schools has been good, teachers’ didactic use of it has been varied (Tallvid, 2016). However, a major change took place in terms of teaching from the spring of 2020, when many schools in Europe and all over the world switched to online teaching to reduce the spread of Covid-19 (Beardsley, et al., 2021). This change forced every teacher to be more flexible and to use digital resources to be able to teach and communicate with students (Gileada & Dishonb, 2022).

Many surrounding factors have affected teachers use of digital learning resources such as school environment, support access, professional development, outside school education and experiences. Studies show that school environment on organizational level affect teachers’ competence using DLR, together with several contextual factors (Pettersson, 2018). Another important factor is teachers’ attitude towards digital resources in teaching (Eickelmann & Vennemann, 2017). Previous research also indicates that demographic factors such as teaching subject affects teachers use of digital resources(Bratland, et al., 2022; Erixon, 2014). Studies regarding teachers’ use of DLR emphasizes the need of further research on influencing factors (Erstad, et al., 2021). Against this background the aim of this study is to explore how surrounding factors and school environment influence upper secondary school teachers' use of digital learning resources (DLR) for teaching. The following two research questions were addressed:

  1. What are the categories of surrounding factors and school environments affecting upper secondary school teachers use of DLR?
  2. Are there any differences between these categories and the dimensions of teachers’ use of DLR?

This study uses the expanded didactic triangle to understand both the use of DLR and the factors affecting teachers use of DLR (Hudson & Meyer, 2011). Teachers’ didactic use, surrounding factors and school environment are explored through teachers views and answers in an online survey. Teachers’ dimensions using DLR includes the didactic purpose, the classroom practice and the frequency using different digital learning resources.


Methodology, Methods, Research Instruments or Sources Used
The study was carried out using an online questionnaire conducted in 2022. A convenience sample of 243 teachers from 23 upper secondary schools in Sweden participated in the survey. The teachers answered self-reported questions and rated their answers on a six-point Likert scale from (1) strongly disagree, to (6) strongly agree. The layout, question-order, time required and formulations of the questions was designed using recommendations from research-manuals (Denscombe, 2021) and the content of the used questions were inspired by previous research (Eickelmann & Vennemann, 2017). Demographic questions and four other questions were used in this study, these were question 12 (frequency using different DLR), 14 (didactic purpose using DLR), 17 (classroom practice with DLR) and 19 (surrounding factors and school environment affecting the use of DLR). Cognitive interviews (Campanelli, 2008) as a pilot study with six upper secondary teachers were made, as well as discussions with fellow researchers. Minor adjustments were done, and the final questionnaire was distributed directly to teachers by email or through their principal by email or the school’s online platform.
The data was analysed, using four survey-questions with several items, for an exploratory factor analysis, and standard multiple regression analysis for correlations. The statistical program IBM SPSS Statistic version 28 was used to analyze the data. The exploratory FA was performed in the following three main steps: 1) Assess the suitability of the data for factor analysis, 2) Extract the factors, and 3) Rotate and interpret the factors (Pallant, 2013, pp. 189-192). The regression analysis was performed in following main steps: 1) Check the assumptions, 2) Evaluate the model, 3) Evaluate each of the independent variables, and 4) Use the information obtained from the output (Pallant, 2013, pp. 163-168).

Conclusions, Expected Outcomes or Findings
The findings revealed five different teacher categories regarding surrounding factors and school environment. The five categories are 1) the satisfied -, 2) the support receiving-, 3) the experienced-, 4) the student focused-, and 5) the stressed teacher category. The satisfied teacher category is positive regarding the schools DLR equipment and teacher training with DLR. The experienced teacher category have improved their skills with DLR outside school The findings regarding teachers’ use of DLR revealed also five different dimensions of teachers’ use of DLR. These five dimensions of use are 1) the creative purpose use, 2) the provide material use, 3) the student feedback use, 4) the creative tests and game use, and 5) the simulation-, film- and sound use.
The findings from the regression analysis show significant correlation between the first four teacher categories and the DLR use dimensions, although there is no correlation between the stressed teacher category and the DLR use dimensions. The only teacher category that shows a significant correlation with the simulation-, film- and sound use dimension are the experienced teacher category. The strongest significant correlations are found between the student-focused teacher and the creative purpose use. The results indicates that multiple surrounding factors affect teachers’ use of digital learning resources, both inside and outside schools. Teachers that use more advanced resources as simulation-, film-, and sound-software have received their education outside school, and they use DLR frequently outside school in their sparetime. Student focused teachers have creative didactic purposes with their use of DLR in classroom practice. The implications are: 1) teachers feeling stressed using DLR need help and support to be able to use DLR, 2) teachers need more in-service training to improve their use of advanced DLR, and 3) student-focused teachers are more creative in their didactic use of DLR.

References
Beardsley, M., Albó, L., Aragón, P. & Hernández-Leo, D., 2021. Emergency education effects on teacher abilities and motivation to use digital technologies. British Journal of Educational Technology, Volume 52, pp. 1455-1477.
Bratland, E., El Ghami, M. & Mediå, M., 2022. Technology and knowledge. In what way are knowledge and teachers’ knowledge practices in subject areas crucial for the integration of technology in education?. Nordic Journal of Digital Literacy, 17(3), pp. 155-169.
Campanelli, P., 2008. Testing survey questions. In: International Handbook of Survey Methodology. New York: Routledge, pp. 176-200.
Denscombe, M., 2021. Forskningshandboken: För småskaliga forskningsprojekt inom samhällsvetenskaperna. 4 ed. Lund: Studentlitteratur.
Eickelmann, B. & Vennemann, M., 2017. Teachers’ Attitudes and Beliefs Regarding ICT in Teaching and Learning in European Countries. European Educational Research Journal, 16(6), pp. 733-761.
Erixon, P.-O., 2014. School subjects in the screen culture. Education Inquiry, 5(2), pp. 167-170.
Erstad, O., Kjällander, S. & Järvelä, S., 2021. Facing the challenges of ‘digital competence’. Nordic Journal of Digital Literacy, 16(2), pp. 77-87.
Gileada, T. & Dishonb, G., 2022. Rethinking future uncertainty in the shadow of COVID 19: Education, change, complexity and adaptability. Educational Philosophy and Theory, 54(6), p. 822–833.
Hudson, B. & Meyer, M. A., 2011. Beyond Fragmentation: Didactics, Learning and Teaching in Europe. Opladen & Farmington Hills, MI: Barbara Budrich Publishers.
Lundgren, U. P., 2014. Teknik för pedagogik och pedagogik som teknik: Såsom i en spegel. In: Lärare i den uppkopplade skolan. Falkenberg: Glerups, pp. 231-253.
Nilsen, A. G., Almås, G. A. & Gram, H., 2020. Producing Digital Learning Resources (DLR) for Teacher Training. Designs for Learning, 12(1), pp. 71-80.
OECD, 2009. Beyond Textbooks: Digital Learning Resources as Systemic Innovation in the Nordic Countries
Pallant, J., 2013. SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Maidenhead: Open University Press.
Pettersson, F., 2018. On the issues of digital competence in educational contexts – a review of literature. Educ Inf Technol, 23, pp. 1005-1021.
Säljö, R., 2019. En digital uppväxt och en digital framtid. Tidskriften vägval i skolans historia.
Selander, S., 2017. På väg mot en digital lärmiljö: En lägesrapport om digitala lärresurser i svenska skolor i Finland, Helsingfors: Svenska kulturfonden.
Tallvid, M., 2016. Understanding teachers’ reluctance to the pedagogical use of ICT in the 1:1 classroom. Education and Information Technologies, 21(3), pp. 503-519.
Wallin, J., Hafsteinsdottir, E., Samuelsson, J. & Bergman, E., 2017. Digitala lärresurser I matematikundervisningen, Systematisk översikt 2017:02, Lund: Lund University
 
Date: Friday, 25/Aug/2023
9:00am - 10:30am16 SES 14 A: Designing of and Interacting with Learning Environments
Location: Gilmorehill Halls (G12), 217A [Lower Ground]
Session Chair: Marta Koc-Januchta
Paper Session
 
16. ICT in Education and Training
Paper

Empirical Design of a Visual Learning Environment to Support Pupils’ Systems Thinking

Mina Mani Kashani, Måns Gezelius, Gunnar Höst, Marta Koc-Januchta, Jonas Löwgren, Konrad Schönborn

Linköping University, Sweden

Presenting Author: Mani Kashani, Mina

Climate change is a critical challenge facing society, and understanding earth systems, like the carbon cycle, has become an essential component of educational curricula around the world. The Swedish compulsory school curriculum emphasises learning about the carbon cycle and its connection with various biological and environmental issues. Understanding the carbon cycle is complex and requires recognising the carbon reservoirs, how carbon atoms circulate between reservoirs, and various dynamic relationships that exist within the system. These characteristics align with systems thinking skills, a crucial aspect of learning and teaching science. Assaraf and Orion (2005) have summarised eight hierarchical characteristics of systems thinking in the context of earth systems and have proposed the Systems Thinking Hierarchical (STH) model to describe how students learn about complex earth systems. The hierarchical levels of this framework include system thinking abilities that comprise analysis (e.g. identifying components), synthesis (e.g. relating components), and implementation (e.g. understanding hidden dimensions).

The carbon cycle is often taught through simplified and static diagrams in school textbooks, which can make learning about this abstract cycle and its interrelating components very challenging for high school students in grades 7-9 (e.g. Düsing, Asshoff, & Hammann, 2019). An example of a common difficulty in this context is to understand how carbon atoms move between various organisational levels. To address such challenges, carefully developed interactive visualizations that guide pupils through the components of the carbon cycle can help scaffold their systems thinking skills. Contemporary research in this area includes work on interactive learning environments in STEM contexts and adaptive feedback for supporting the learning of complex natural systems (Linn et al., 2014; Vitale, McBride, & Linn, 2016). Although these environments have proved promising, there remains a need to explicitly involve teachers in the design process, as well as connect established theoretical frameworks to learning goals of school science curricula. In this regard, not much effort has been directed to pedagogically-informed design and implementation of adaptive interactive learning environments for developing learners’ systems thinking. In fact, very little work has reported systematic design processes as an empirical contribution in the development of science education interventions (e.g. see Bopardikar, Bernstein, & McKenney, 2021).

In response, as part of a larger research program, the purpose of this work is to provide a theoretically and teacher-informed design process of an adaptive interactive visual learning environment that supports the development of grade 7-9 learners’ systems thinking skills in the context of the carbon cycle.

To respond to this aim we describe our iterative and theory-based design process by highlighting the main design activities and the rationale behind them, including: 1) content conceptualisation, 2) pedagogical (teacher) input, and 3) adaptive characteristics. The outcome of this process has resulted in an adaptive interactive visual learning environment with multiple learning tasks and quizzes organised in three modules. Each module is designed with coherent learning objectives aligned with a hierarchy of systems thinking skills and the Swedish school curriculum. Pupils interact with the learning tasks through three core mechanics including: A) dragging and dropping cards to complete a diagram, B) drawing arrows to complete the partial and global cycles, and C) clicking on the icons to reveal more information. Pupils’ interaction with this learning environment is supported through various forms of immediate (e.g. automatically correcting a misdrawn arrow) and delayed feedback (e.g. visual and textual verification of a correct response following a task response). Focusing on the carbon cycle, our work aims to provide a personalised learning experience for learners in grade 7-9 in scaffolding different levels of systems thinking.


Methodology, Methods, Research Instruments or Sources Used
We employed an iterative explorative approach to design the target adaptive interactive visual learning environment for supporting systems thinking in the context of the carbon cycle. Emphasis was on defining requirements of the target by exploring alternative possibilities through multiple iterations (Floyd, 1984). Our design activities were structured in three clusters: 1) content conceptualisation, 2) pedagogical (teacher) input, and 3) adaptive characteristics.  
The content of the learning environment was conceptualised according to the STH model (Assaraf & Orion, 2005) and Sweden's national curriculum through two interdependent processes. Firstly, we developed the domain ontology of the carbon cycle by aligning key learning objectives with the grade 7-9 curriculum and organizing them using the STH model. Defining coherent learning objectives such as identifying main carbon reservoirs and understanding the connection between them, provided the main structure of three learning modules. Secondly, in parallel, we designed interactive learning tasks and quizzes. The quiz questions aimed to enhance learning by building upon the interactive learning tasks by integrating the analysis, synthesis, and implementation systems thinking levels of the STH framework.
Pedagogical (teacher) input yielded from a panel of ten science teachers through three focus-group meetings and two sets of individual interviews was integrated with the design process for multiple purposes in several stages (e.g. Bopardikar et al., 2021). For mapping out the design space, the first focus-group meeting involved teachers reflecting on their pedagogical approaches and resources for teaching the carbon cycle. Through additional individual interviews, we asked for their feedback on the defined learning objectives and tasks with a modular structure and consequently integrated their feedback into the design of the environment. To verify our design approach for the three types of interaction mechanics, the main interaction patterns for four learning tasks were presented to teachers through individual interviews. These interviews resulted in adding quiz items to the learning modules to foster pupils’ systems thinking skills between STH levels. In the last step, we presented the panel a summary of the implemented learning tasks to validate our approach.
To implement an adaptive learning experience, we applied three adaptive difficulty levels to tasks and quiz questions. The difficulty level of the tasks and quiz questions was adjusted by implementing the mechanism of background logging of each pupil’s progress performance within the environment (Linn et al., 2014). Additionally, we designed and implemented various forms of immediate and delayed feedback to support pupils’ interaction and learning.

Conclusions, Expected Outcomes or Findings
Applying an iterative teacher-informed design-based approach resulted in Tracing carbon, an adaptive interactive visual learning environment for developing systems thinking skills in the context of the carbon cycle. Tracing Carbon entails twenty-one learning tasks and six quizzes embedded in three progressive learning modules for grade 7-9 aligned with the STH framework (Assaraf & Orion, 2005) and the Swedish school curriculum.
Pupils commence the learning experience by exploring how carbon circulates within a forest ecosystem in the first module. In the second module, students engage with global aspects of the carbon cycle, and in the third module they investigate the influence of human activities on the natural carbon cycle. As pupils progress through the learning modules, they actively interact with the visualisations and complete the visual based tasks while developing their systems thinking. This interaction is afforded through three core mechanics including: A) dragging and dropping cards to complete a diagram (e.g. components of the reservoirs), B) drawing arrows to complete the partial and global cycles, and C) clicking on the icons to reveal more information (e.g. about photosynthesis). Each learning module entails two quizzes that aim to support developing systems thinking skills in addition to reasoning and critical thinking.
Tracing carbon provides a personalised learning experience by adjusting the difficulty of the tasks and questions according to each pupil’s real-time performance. As pupils engage with Tracing Carbon, the environment tracks their progress, evaluates their performance, and adjusts the presented difficulty of the tasks and quiz questions. Various forms of immediate and delayed feedback validate pupils’ correct answers and supports them in addressing their errors during the tasks and quizzes.
Future work will explore pupils’ and teachers’ interaction with the environment and the impact of its adaptive characteristics on pupil’s learning of the carbon cycle.

References
Assaraf, O. B.-Z., & Orion, N. (2005). Development of system thinking skills in the context of earth system education. Journal of Research in Science Teaching, 42(5), 518–560.

Bopardikar, A., Bernstein, D., & McKenney, S. (2021). Designer considerations and processes in developing school-based citizen-science curricula for environmental education. Journal of Biological Education, 1–26.

Düsing, K., Asshoff, R., & Hammann, M. (2019). Students’ conceptions of the carbon cycle: Identifying and interrelating components of the carbon cycle and tracing carbon atoms across the levels of biological organisation. Journal of Biological Education, 53(1), 110–125.

Floyd, C. (1984). A Systematic Look at Prototyping. In R. Budde, K. Kuhlenkamp, L. Mathiassen, & H. Züllighoven (Eds.), Approaches to Prototyping (pp. 1–18). Berlin, Heidelberg: Springer.

Linn, M. C., Gerard, L., Ryoo, K., McElhaney, K., Liu, O. L., & Rafferty, A. N. (2014). Computer-Guided Inquiry to Improve Science Learning. Science, 344(6180), 155–156.

Vitale, J. M., McBride, E., & Linn, M. C. (2016). Distinguishing complex ideas about climate change: knowledge integration vs. Specific guidance. International Journal of Science Education, 38(9), 1548–1569.


16. ICT in Education and Training
Paper

Interacting with a Visual Learning Environment of the Carbon Cycle: Pupils’ Use and Assessment

Marta Koc-Januchta, Gunnar Höst, Mina Mani, Måns Gezelius, Jonas Löwgren, Konrad Schönborn

Linköping University, Sweden

Presenting Author: Koc-Januchta, Marta

A fundamental prerequisite for developing environmental literacy for sustainability is understanding systems thinking (Kali et al., 2003). For example, developing the ability to interpret and understand the carbon cycle in terms of a system is necessary to grasp the monumental challenges posed by climate change (Shepardson et al., 2012). Although international school curricula, including countries like Sweden, promote the learning of the carbon cycle, science education research shows that understanding complex earth systems is challenging for pupils as it requires integrating knowledge from different levels of organisation and content areas (Düsing et al., 2019). Obstacles that pupils encounter include perceiving components of the system as separate “entities” rather than connecting them, or struggling to relate the system to everyday life (Assaraf & Orion, 2005). Systems thinking about earth systems requires mastering a range of skills, such as identifying the components of the cycle, through to thinking temporally about predictive implications of a system. Assaraf and Orion (2005) have articulated a framework of systems thinking abilities that consists of three hierarchical levels, namely Analysis (skills for identifying components of a system), Synthesis (skills for relating system components) and Implementation (skills for perceiving hidden system dimensions).

A large body of empirical evidence has confirmed the learning benefit of including pictorial elements in educational materials, and that careful design of multimedia resources that consider human cognitive processes has great influence on learning outcomes (Mayer, 2014). At the same time, Asshoff et al. (2010) claim that visually representing the complexity of natural processes such as the carbon cycle should provide more interactive and dynamic opportunities for learners. Therefore, it is rather surprising that the complexity of the carbon cycle is typically depicted and taught via static and often highly conventionalised diagrams. Little work has investigated how systems thinking can be supported through interactive, adaptive visualizations that also integrate aspects of canonical representations familiar to pupils and teachers.

This study forms part of a larger research program developing and testing an adaptive visual learning environment, termed Tracing Carbon, which supports pupils’ systems thinking skills in the context of the carbon cycle. Tracing Carbon comprises three modules, each integrated with interactive visual tasks and respective quiz questions aimed at probing abilities related to the three hierarchical levels (1-Analysis, 2-Synthesis, 3-Implementation). The current study purpose was to explore pupils’ interaction and performance with Tracing Carbon, guided by the following research questions. How do pupils:

  • Interact with the Tracing Carbon learning environment when performing tasks?
  • Perform on the quiz questions in terms of assigned hierarchy and difficulty levels?
  • Assess the difficulty of quiz questions in terms of assigned hierarchy and difficulty levels?

Methodology, Methods, Research Instruments or Sources Used
A sample of 63 pupils aged 14-15 years from two Grade 8 classes engaged with the interactive visual learning environment about the carbon cycle as a part of a biology class. Tracing Carbon consists of interactive tasks and quizzes organized in three modules structured in chapters. In this study, the pupils had access to the first module (global aspects of the carbon cycle) and the first half of the second module (forest ecosystem), altogether comprising three chapters and three sets of quizzes. In each chapter, pupils first engaged with visual interactive tasks, followed by a quiz. After completing each quiz item, pupils also assessed the perceived difficulty of the item on a scale ranging from 0 (very easy) to 10 (very hard). Log file data automatically captured by the system provided information about the learning process, such as students’ mouse/pointer interaction with a particular graphical feature, or the number of mistakes pupils made while responding to the quizzes. Collectively, all pupils responded to quiz questions representing all three hierarchy levels. Additionally, quiz questions in each hierarchy level were assigned as “easy” or “hard”.
One type of visual interactive task in the system prompted pupils to draw arrows between components of the carbon cycle. Each arrow corresponds to a process that transfers carbon atoms between carbon reservoirs, such as when carbon atoms in carbon dioxide molecules are transferred to the biosphere through photosynthesis in plants. In a “simple” task, consisting of four reservoirs, the most common error (made by 39 pupils) was to draw arrows from Fossil fuel reserves to Land. In a “complex” task, consisting of 12 reservoirs, the most common mistake (made by 50 pupils) was to draw an incorrect-connection arrow from Decomposers to Plants.
Additionally, we performed GLM repeated measures analyses of variance with number of incorrect answers and difficulty assessment by pupils as dependent variables. We found for both variables significant main effects of assigned difficulty levels (easy vs. hard, F (1, 45) = 17.60; p < .001; η2 = .28 and F (1, 45) = 35.84; p < .001; η2 = .44, respectively). Questions assigned as hard resulted in a higher number of incorrect answers and a higher level of assessed difficulty by pupils. We also observed significant interaction effects for both dependent variables.
 

Conclusions, Expected Outcomes or Findings
Analysis indicates that overall, the quiz items designated by the researchers as “easy” were associated with fewer mistakes and a lower perceived difficulty rating than quiz items designated as “hard”. This supports the validity of the quiz item design and integration in Tracing Carbon. However, quiz items designed to engage the second level (Synthesis) in the applied hierarchical systems thinking framework (Assaraf & Orion, 2005) deviate from this pattern. This calls for a deeper consideration of what makes a synthesis-level quiz item easy or hard. The required cognitive abilities might be expected to be more complex for quiz items designed to test for higher levels of the hierarchical systems thinking framework. Nevertheless, the findings do not indicate a corresponding consistent difference in the number of errors or perceived difficulty between quiz items related to the three levels. This result suggests that measurement of hierarchy level understanding is complex and cannot be simply reflected by number of errors alone. In addition, qualitative analysis could help shed light on what types of errors pupils made in the questions and if there is a link between type of mistakes made in interactive tasks and type of mistakes made in quiz questions.
Analysis of interaction data from log files reveals multiple errors related to both drawing erroneous arrows and in the wrong direction. However, the errors were not evenly distributed among the possible errors and could therefore be related to misunderstandings that are commonly found in the literature. For example, the very common incorrect connection made between decomposers and plants could be related to consistently reported erroneous conceptions where many learners believe that trees obtain their energy and building blocks from the soil, rather than from carbon dioxide and solar radiation (e.g. Wennerstam et al., 2020).
 
 
 

References
Assaraf, O. B. Z., & Orion, N. (2005). Development of systems thinking skills in the context of earth system education. Journal of Research in Science Teaching, 42(5), 518-560.
Asshoff, R., Ried, S., & Leuzinger, S. (2010). Towards a better understanding of carbon flux. Journal of biological education, 44(4), 175-179.
Düsing, K., Asshoff, R., & Hammann, M. (2019). Students’ conceptions of the carbon cycle: Identifying and interrelating components of the carbon cycle and tracing carbon atoms across the levels of biological organisation. Journal of Biological Education, 53(1), 110-125.
Kali, Y., Orion, N., & Elon, B. (2003). The effect of knowledge integration activities on students’ perception of the earth’s crust as a cyclic system. Journal of Research in Science Teaching, 40, 545-565.  
Mayer, R. E. (2014). The Cambridge handbook of multimedia learning (2nd ed.). Cambridge University Press
Shepardson, D. P., Niyogi, D., Roychoudhury, A., & Hirsch, A. (2012). Conceptualizing climate change in the context of a climate system. Environmental Education Research, 18(3), 323-352.
Wennersten, L., Wanselin, H., Wikman, S., & Lindahl, M. (2020). Interpreting students’ ideas on the availability of energy and matter in food webs. Journal of Biological Education, 1-21.
 
1:30pm - 3:00pm16 SES 16 A: Comparison of ICT Use Across Countries
Location: Gilmorehill Halls (G12), 217A [Lower Ground]
Session Chair: László Horváth
Paper Session
 
16. ICT in Education and Training
Paper

Constructing National Strength and Global Prominence: Narratives of EdTech Use in Contemporary Indian and Chinese Discourses

Prateeksha Tiwari

University of Vienna, Austria

Presenting Author: Tiwari, Prateeksha

This paper will examine the discourses of Information and Communication Technology-based educational technologies (henceforth referred to as EdTech) in contemporary Indian and Chinese policyscape and how ambitious narratives of future are built on the backbone of EdTech-based educational reforms. The paper will be a conceptual analysis conducted using Jasanoff’s concept of sociotechnical imaginaries and Bacchi’s WPR approach.

Background

From being another tool in the pedagogue’s arsenal to a revolutionary force which could cure ills endemic to educational systems, educational policies in many nation-states now routinely deem EdTech as the driver of socioeconomic transformation and global domination. It has simultaneously generated and has been accompanied by a rich discourse on knowledge economy/information society and an ever increasingly hyperconnected world shaped by supranational policy advocacy organisations, mega tech corporations, and philanthrocapitalists.

These globally circulating ideas become sedimented in different national contexts in the form of what Jasanoff and Kim term as sociotechnical imaginaries, i.e., “collectively imagined forms of social life and social order reflected in the design and fulfilment of nation-specific scientific and/or technological projects.” Such visions, and the policies built upon them, have the power to influence technological design, channel public expenditures, and justify the inclusion or exclusion of citizens with respect to the benefits of technological progress.

It is interesting to note that states with vastly different political and social systems can have very similar sociotechnical imaginaries and the projected ideal futures–which is to say, that these states may assign similar roles or weightages to edtech in order to realise futures with common characteristics such as global domination, economic prosperity, national strength, and a stable society. Recent educational policy developments in China and India are a very good example.

As two nations gaining independence from hostile rule at roughly the same time, China and India have evolved with very different political and economic systems, social organisation, and foreign engagement. Both have struggled through geopolitical instability, economic sanctions, and social unrest to become among the largest economies in the world. As the centennial anniversary of both nations’ independence (China in 2049, India in 2047) draws closer, it is natural that they have lofty ambition of becoming global powers. In 2012, Xi Jinping set the goal for China in 2049 to become "strong, democratic, civilised, harmonious, and modern socialist country." More recently in August 2022, Narendra Modi announced the goal of India as a developed country in 2047 along with “removing traces of colonial mindset, unity and a sense of duty among the citizens.”

Central to the realisation of these goals is reform and development of education, and recently, EdTech. The linking of use of EdTech with the overarching goal of national development can be investigated with the concept of sociotechnical imaginaries. Policies on education and/or EdTech thus provide unique sites for exploring the role of political culture and practices in stabilising particular imaginaries, as well as the resources that must be mobilised to represent technological trajectories as being in the “national interest.” Bacchi’s concept of problematisation can help us examine the specific manner in which the ‘problem’ of rural education is defined and how EdTech is proposed as the solution.

Research question

How is rural education problematised in contemporary Indian and Chinese policy discourses on EdTech?


Methodology, Methods, Research Instruments or Sources Used
The proposed research paper is a part of my doctoral project which is in an early stage at present. The doctoral project comprises both desk-based and field-based research. In the initial stage of research and for the purpose of this paper, I will be focusing on a few key policy documents issued by the respective Ministries of Education (MoE) of India and China.

Indian documents:
National Education Policy 2020
National Policy on Information and Communication Technology (ICT) In School Education


Chinese documents:
Educational Informatization 2.0 Action Plan    
Chinese Education Modernization 2035  
2022 Educational Informatization Work Key Points

Two key conceptual frameworks are employed in this research. The first is Jasanoff's framework of sociotechnical imaginaries which will be used to examine the discursive framing of EdTech to achieve larger goals of national socioeconomic development and global prominence. This framework is inherently comparative in nature. As Jasanoff contends, the comparative aspect of the concept helps see clearly the political nature of science and technology policies as well as the role played by political and cultural institutions in the formation of these imaginaries.

The second is Bacchi’s framework of What’s the Problem Represented to be? (WPR). Bacchi’s concept of problematisation will be used to examine and analyse how these policy documents ‘problematise’ rural education and posit EdTech as a solution.

The ‘problem’ of rural education is understood as one the resolution of which is supposed to accelerate the process of socioeconomic transformation (read: urbanisation), and preparation of a high-skilled labour force suited to work in a knowledge economy of the future–both which together will boost national strength and the relevance of these two nations on a global stage. This paper will develop these arguments in a rigorous manner using the aforementioned source materials and conceptual frameworks.

Conclusions, Expected Outcomes or Findings
As the first part of my doctoral research, this paper should help observe and examine:
Discursive formation of rural education as an obstacle to be overcome and EdTech as the most suitable solution

Discursive linkage of EdTech use in rural education with a vision of the future in which the nation is strong and globally prominent.

Political and cultural factors which influence policy and discourse of EdTech

Similarities and dissimilarities between Indian and Chinese understandings of EdTech as a tool for educational and greater national socioeconomic reform

References
Bacchi, Carol Lee. Analysing Policy: What's the Problem Represented to Be? Pearson, 2009. Accessed 31 January 2023.

Gallagher, Michael, and Jeremy Knox. “Global technologies, local practices.” Learning, Media and Technology, vol. 44, no. 3, 2019, pp. 225-234.

Jasanoff, Sheila, and Sang-Hyun Kim. “Containing the Atom: Sociotechnical Imaginaries and Nuclear Power in the United States and South Korea.” Minerva, no. 47, 2009, pp. 119-146, https://link.springer.com/article/10.1007/s11024-009-9124-4.

Jasanoff, Sheila, and Sang-Hyun Kim. Dreamscapes of Modernity: Sociotechnical Imaginaries and the Fabrication of Power. Edited by Sang-Hyun Kim and Sheila Jasanoff, University of Chicago Press, 2015. Accessed 31 January 2023.

“Making Politics Visible: The WPR Approach.” Poststructural Policy Analysis: A Guide to Practice, by Susan Goodwin and Carol Bacchi, Palgrave Macmillan US, 2016, pp. 13-26. Accessed 31 January 2023.

MoE, India. “National Education Policy 2020.” Ministry of Education, 2021, https://www.education.gov.in/sites/upload_files/mhrd/files/NEP_Final_English_0.pdf. Accessed 31 January 2023.

MoE, India. “National Policy on Information and Communication Technology (ICT) In School Education Department of School Education and Litera.” Ministry of Education, 23 March 2012, https://www.education.gov.in/sites/upload_files/mhrd/files/upload_document/revised_policy%20document%20ofICT.pdf. Accessed 31 January 2023.

MoE, PRC. “教育部关于印发《教育信息化2.0 行动计划》的通知.” 中华人民共和国教育部, 25 April 2018, http://www.moe.gov.cn/srcsite/A16/s3342/201804/t20180425_334188.html. Accessed 31 January 2023.

MoE, PRC. “关于印发《教育部教育管理信息中心2022年工作要点》的通知.” 教育部教育管理信息中心, 25 March 2022, http://www.emic.edu.cn/zxdt/202203/t20220325_32611.html. Accessed 31 January 2023.

Pearson, Emma, et al. Teaching in Primary Schools in China and India: Contexts of Learning. Taylor & Francis Group, 2018. Accessed 31 January 2023.

State Council. “中共中央、国务院印发《中国教育现代化2035》_最新政策.” 中国政府网, 23 February 2019, http://www.gov.cn/zhengce/2019-02/23/content_5367987.htm. Accessed 31 January 2023.


16. ICT in Education and Training
Paper

Understanding the Human Side of Digital Transformation: Socio-Cultural Comparison of Hungarian and Russian School Education Systems

Nikita Kotik1, László Horváth2, Diana Koroleva1

1Institute of Education, Higher School of Economics, Moscow, Russian Federation; 2Institute of Education, ELTE Eötvös Loránd University, Budapest, Hungary

Presenting Author: Horváth, László; Koroleva, Diana

Digital transformation in education became a topic which a great deal of reflection due to experiences in COVID-19 related school closures. The sudden change to online education prompted a number of research in different national education systems (Russia: Koroleva, Naushirvanov, 2021; Hungary: Czirfusz et al, 2020; Horváth et al, 2021). Previous research focused on teachers’ digital competence, technology readiness, technology acceptance or generally on the processes of the emergence and diffusion of digital educational innovations (Badri et al, 2014; El Alfy et al, 2017; Halász, 2018; Horváth, 2017; Horváth et al, 2020).

Despite the global trend and the commonality of the digitalization task, the applied policies of different countries are an excellent example of the diversity of strategies for the transformation of national educational systems. This diversity is possible also because of the specific cultural context (Voogt J. et al., 2017; Klievink B. et al., 2017). Cultural and state-level characteristics determine readiness to embrace and integrate modern technologies, as well as set the direction of the modernization process in education. Digital technologies in turn lead to changes in the culture of communication, policy implementation, and daily routine practices (Selwyn, 2012). Investigation of the impact cultural patterns have on digitalization of education, and how new technologies change cultural attitudes and practices in different countries can be seen as one of the explanatory models.

Few studies take into consideration the cultural patterns that could influence successful digital transformation in education systems. The main aim of our paper is to provide a comparative perspective by examining factors related to successful digital transformation in Russian and Hungarian education systems. By conducting a joint study on teachers’ technology readiness, attitudes towards educational technologies and cultural values in both countries we provide a deeper understanding of the underlying cultural patterns that could influence processes of digital transformation.

Digital transformation of the educational systems and implementation of digital technologies in the educational process can be still considered as an innovation for many teachers. Taking into account the socio-cultural specifics of these processes, on the one hand, expands the understanding of individual factors stimulating or blocking the course of transformation for each teacher individually. In order to facilitate transformational processes here we can talk about targeted support strategies for teachers with different attitude profiles regarding the use of technology. On the other hand, differences or similarities among socio-cultural patterns at the country level can form the basis that may inform national and supranational digitalization strategies. Here the discussion on possibilities for globalized solutions in the diverse cultural contexts of Europe.

A comparative perspective of two countries (Russia and Hungary) allows a deeper understanding of digitalisation processes as well as identifying the universal and specific relationships between individual and organizational level factors. Those two cases can be seen as two different frames with which it is convenient to compare. The selection of specific cultural characteristics from a known model (Hofstede’s cultural dimensions model) as well as individual characteristics measured by known instruments (Technology readiness index, Unified theory of acceptance and use of technology) makes it possible to define an approach that is easily replicable in other countries.


Methodology, Methods, Research Instruments or Sources Used
In this study, the cultural specificity of the use of technology in education is analyzed in three main directions. At the macro level, the interpretation of practices and attitudes is guided by country differences in cultural dimensions. At the individual level, the relationship between practices, individual attitudes and values is analyzed. Meso level analysis is conducted by including organizational factors (innovative climate, openness and dynamism of the organizational environment of schools)
At the individual level, socio-cultural factors are measured using an online survey in Russian and Hungarian schools. The data collection methodology implies receiving answers from at least 70% of school employees, which in turn allows supplementing the analysis with the organizational characteristics of educational organizations.
The TRI (Parasuraman, Colby, 2015) and UTAUT (Venkatesh, Davis, & Davis, 2003)  models are used as measuring tools, which make it possible to obtain both deep beliefs about technologies in a broad sense (propensity to use technology), and the point attitudes towards direct educational technologies and services. Cultural dimensions at the individual level are measured using CVSCALE (Yoo, Donthu, & Lenartowicz, 2011). This methodology has been adapted and validated specifically to work with Hofstede's Five Dimensions of Cultural Values at the Individual Level. The main organizational characteristics included in the analysis at the meso level are the innovative climate, openness and dynamism of the educational institution. To measure them, the Innova methodology (Halász, 2018) is used.
Data collection is carried out by synchronized survey tools. Data for the Russian sample was collected at the end of 2021 and includes responses from teachers from 55 schools (n=2200). The data in Hungary was collected in early spring 2022. The sample is representative of the Hungarian school system (n = 1580). Structural equation modeling was used for comparative analysis at the individual level. Measurement invariance was tested for all compared concepts. Hierarchical regression was used for the analysis at the level of educational organizations.

Conclusions, Expected Outcomes or Findings
In terms of preliminary results, we predict significant differences in socio-cultural patterns of technology use for educational purposes at both individual and organizational levels.
Mainly, this hypothesis comes from the large differences in the Hofstede’s country cultural dimensions scores (Power distance RU/HU: 93/46, Individualism: 80/39, Masculinity: 36/88, Uncertainty avoidance: 95/82, Long-Term Orientation: 81/58), which in fact puts Russia and Hungary on the opposite sides of the continuum. At the same time, there are normative and contextual differences that are growing out of different approaches to adopting a digitalization strategy in Russia and Hungary (Koroleva, Naushirvanov, 2021). While the Hungarian reform approach relies more on bottom-up logic than the Russian top-down policy structure, the agenda for comprehensive digitalization of the education system is still more focused on infrastructural issues than on teachers’  human capital development.
The empirical data showed us interesting insides regarding individual level. The strongest indirect effects were found along the lines of Long-Term orientation, Optimism, Innovativeness, and Expected Effort and Effectiveness regarding the use of technology in learning. This confirms the importance of communicating the long-term benefits of digital technology to teachers, regardless of country differences. We also detected culturally based differences in perceptions of control over technology and similarities in the devaluation of professional development programs.
An analysis of the relationship between attitudes and real practices in the use of technology will open up the possibility of formulating targeted recommendations for developing the potential of different types of teachers. At the meso-level, however, understanding how environmental characteristics relate to both teachers' attitudes and practices opens up space for informed managerial decisions. Finally, the contribution of the results will allow developing a discussion around a human-centered targeted approach to the digitalization of education both in Europe and in Russia.

References
Badri M., Al Rashedi A., Yang G., Mohaidat J., Al Hammadi A. (2014). Technology Readiness of School Teachers: An Empirical Study of Measurement and Segmentation. Journal of Information Technology Education, 13, 257–275.
Czirfusz, D., Misley, H., & Horváth, L. (2020). A digitális munkarend tapasztalatai a magyar közoktatásban. Opus et Educatio, 7(3), 220-229. DOI: 10.3311/ope.394
El Alfy S., Gómez J. M., Ivanov D. (2017). Exploring instructors’ technology readiness, attitudes and behavioral intentions towards e-learning technologies in Egypt and United Arab Emirates // Education and Information Technologies, 22(5), 2605–2627.
Halász, G. (2018). Measuring innovation in education: The outcomes of a national education sector innovation survey. European Journal of Education, 53(4), 557-573. DOI: 10.1111/ejed.12299
Horváth, L., Czirfusz, D., Misley, H. & N. Tóth, Á. (2021). Alkalmazkodási stratégiák a távolléti oktatás során hallgatói, oktatói és intézményi szinten. Neveléstudomány, 3. 23-42. DOI: 10.21549/NTNY.34.2021.3.2
Horváth, L., Misley, H., Hülber, L., Papp-Danka, A., M. Pintér, T., & Dringó-Horváth, I. (2020). Tanárképzők digitális kompetenciájának mérése – a DigCompEdu adaptálása a hazai felsőoktatási környezetre. Neveléstudomány, 2. 5-25. DOI: 10.21549/NTNY.29.2020.2.1
Horváth, L. (2017). A szervezeti tanulás és az innováció összefüggései a magyar oktatási rendszer alrendszereiben. Neveléstudomány, 4. 44-66. DOI: 10.21549/NTNY.20.2017.4.3
Klievink, B., Neuroni, A., Fraefel, M., & Zuiderwijk, A. (2017). Digital strategies in action: A comparative analysis of national data infrastructure development. In Proceedings of the 18th Annual International Conference on Digital Government Research (pp. 129-138).
Королева Д. О., Науширванов Т. О. Digital countries: особенности цифровизации образования в России, Венгрии и Германии. Образовательная политика. 2021. Т. 87. № 3. С. 106-118.
 Parasuraman A. Colby C. (2015). An Updated and Streamlined Technology Readiness Index: TRI 2.0. Journal of Service Research, 18(1), 59–74.

Selwyn, N. (2012). Education in a digital world: Global perspectives on technology and education. Routledge.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), p. 425-478.

Voogt, J., & McKenney, S. (2017). TPACK in teacher education: Are we preparing teachers to use technology for early literacy?. Technology, pedagogy and education, 26(1), 69-83.

Yoo, B., Donthu, N., & Lenartowicz, T. (2011). Measuring Hofstede's Five Dimensions of Cultural Values at the Individual Level: Development and Validation of CVSCALE. Journal of International Consumer Marketing, 23(3-4), 193-210, DOI: 10.1080/08961530.2011.578059
 
3:30pm - 5:00pm16 SES 17 A: Learning Programming Skills
Location: Gilmorehill Halls (G12), 217A [Lower Ground]
Session Chair: Anne Kjellsdotter
Paper Session
 
16. ICT in Education and Training
Paper

Humanoid Robots in the School Learning Environment – A Motivational Tool for Learning Computational Thinking and Programming Skills

Karen Parish1, Deepti Mishra2, Yavuz Inal2, Guillermo Arroyo Romero2, Rumi Rajbhandari2, Rahel Warnatsch1

1Inland Norway University of Applied Science, Norway; 2Norwegian University of Science and Technology

Presenting Author: Parish, Karen

With predictions of robotics and efficient machine learning as the building blocks of the Fourth Industrial Revolution, countries need to adopt a long-term strategy to deal with potential challenges of automation and education must provide students with a grounding in certain skills, such as computational thinking, and an understanding of robotics, which are likely to be required in many future roles. The use of humanoid robots has been a widespread practice for years to help children construct logical reasoning and computational thinking. Children can acquire new knowledge and develop cognitive, conceptual, language, and collaborative skills through interacting with robots (Benvenuti, M. & Mazzoni, E., 2020; Toh, L. P. E., Causo, A., Tzuo, P. W., Chen, I. M., & Yeo, S. H., 2016). Humanoid robots can spark their interest in coding as they are able to make the robot function (Keane, T., Chalmers, C., Boden, M., & Williams, M., 2019).

However, there is a lack of empirical research involving the use of robots in school learning environments and there is a need for more effective analysis of the potential of robotics as a teaching tool for schools (Benitti, F. B. V., 2012). A recent review of the literature (Anwar, S., Bascou, N. A., Menekse, M., & Kardgar, A., 2019) observed that the majority of the existing studies lacked an experimental or quasi-experimental design. Recently emphasis has been put on the importance of conducting these interventions with effective robotic pedagogies and underlying theoretical foundations that are required for educational modules in STEM education to make robot-based pedagogies more efficient (Anwar, S. et al., 2019).

Further to this, it has been argued that educational robotics allows for an integrated, multidisciplinary approach and it is essential to provide a more holistic portrayal of the research on educational robots(Anwar, S. et al., 2019).

In response, this paper contributes to the field by presenting a study with Grade 6 students (n. 20) using a multidisciplinary framework. The multidisciplinary nature of the framework acknowledges that the use of humanoid robots in school learning environments must be holistic, rather than focusing on just the technical, or the pedagogical for example. The multidisciplinary framework proposes that the introduction and evaluation of technology in the classroom should be explored from the following four perspectives: pedagogical, technological/human robot interaction, psycho-social development and a consideration of the ethical implications of using humanoid robots. The framework is grounded in experiential learning theory (ELT) which defines learning as "the process whereby knowledge is created through the transformation of experience. Knowledge results from the combination of grasping and transforming experience" (Kolb, 1984, p.41). The ELT model allows for a diversity of learning styles in students. This paper focusses on the pedagogical aspect of the framework and has the following research questions; Firstly, to what extent is programming a humanoid robot engaging when the robot helped visualize the coding, instructions, and outcome of the process? Secondly, what are the student´s perceptions of the experimental learning approach used?


Methodology, Methods, Research Instruments or Sources Used
The study involved participants (K6 students and more specifically 10-13 years old) who learned to program a humanoid robot (NAO by Softbank robotics) using the AskNao Blockly software suite. The programming activity required the participants to write programming instructions using blocks to make NAO move in particular paths, produce different speech, change eye color and also use the NAO head sensor.
We collected data using a pre-questionnaire, post-questionnaire, interview, and observations. Both the teaching and task sessions were recorded for observation purposes.
Preparation: Researchers worked with the Grade 6 teachers to prepare the content of the one-day workshop, including discussion surrounding the learning needs of the students. Ethical consent was gained from the relevant body to conduct the research. Informed consent was gained from the parents/guardians of the students and the students themselves.
Data/analysis: Quantitative analysis using inferential statistics was used to analyse the pre and post-test data. Qualitative thematic analysis was used to analyse the interview and observation data.

Conclusions, Expected Outcomes or Findings
Preliminary findings suggest that provided that there is an active and critical engagement in human-robot interaction, humanoid robots have the potential to improve the spatial programming skills by making abstract concepts playful, tangible, concrete, and thereby understandable. Students perceived the experiential learning approach to be beneficial to their learning.
References
Anwar, S., Bascou, N. A., Menekse, M., & Kardgar, A. (2019). A systematic review of studies on educational robotics. Journal of Pre-College Engineering Education Research (J-PEER), 9(2), 2. Chicago
Benitti, F. B. V. (2012). Exploring the educational potential of robotics in schools: A systematic review. Computers & Education, 58(3), 978-988.
Benvenuti, M., & Mazzoni, E. (2020). Enhancing wayfinding in pre‐school children through robot and socio‐cognitive conflict. British Journal of Educational Technology, 51(2), 436-458.
Keane, T., Chalmers, C., Boden, M., & Williams, M. (2019). Humanoid robots: Learning a programming language to learn a traditional language. Technology, Pedagogy and Education, 28(5), 533-546.
Kolb, D. A. (2014). Experiential learning: Experience as the source of learning and development. FT press.
Toh, L. P. E., Causo, A., Tzuo, P. W., Chen, I. M., & Yeo, S. H. (2016). A review on the use of robots in education and young children. Journal of Educational Technology & Society, 19(2), 148-163.


16. ICT in Education and Training
Paper

Methodologies in the Emerging Field of K-6 Programming Education – a Literature Review

Patrik Lindholm, Carl-Johan Rundgren, Per Anderhag

Stockholm University, Sweden

Presenting Author: Lindholm, Patrik; Rundgren, Carl-Johan

Teaching children the basics of programming dates back many decades, starting with the coding language LOGO which used a simple programming language which could be used by young children (Papert, 1980). While LOGO has continued to be developed, other tools like Scratch, Bee-bots and KIBO are nowadays more prevalent. Discussions regarding, not only programming and coding, but also computational thinking (Wing, 2006) has been highlighted in many countries. Countries like Denmark, France, Ireland, Spain, Portugal and the UK have introduced programming in the national curriculum during the 2010’s (Bers, 2018). The need to reform schooling to better prepare students with so-called 21st-century skills has been a focus in academia for many years, with discussions concerning what new forms of literacy that today’s students need to tackle the problems of tomorrow (Trilling & Fadel, 2009). Therefore, learning programming at a young age is not only important in regard to changes in curricula, but also in relation to the world becoming more digitized and harder to navigate without technological completeness like programming.

Previous literature reviews related to programming education with relevance for the K-6 field have focused on a wide variety of themes. Xia and Zhong (2018) analyses articles relevant to K-12 robotics education and concludes that there is an educational potential using robotics in education. However, they also criticize studies within the field for the low number of participants and short interventions, which further studies should have in mind. Sun and colleagues’ (2022) systematic review focuses on articles related to K-12 students programming ability and concludes that block-based programming tools are common in research and that programming education cultivated students’ cognitive and operational ability. Macrides and colleagues (2022) focus on programming education in early childhood education and conclude that teaching young children programming is not only possible but can also contribute to creativity and collaboration. They also note that there is a need within the field to develop measurement instruments. Kakavas and Ugolini (2019) analyses articles relevant to computational thinking in K-6, and concludes that there has been an increasing interest in how to develop students’ computational thinking skills in later years. Furthermore, they observe that most studies in their review use visual programming tools like Scratch, Alice and Kodu. The presented literature reviews show positive aspects of programming education, but it is also of importance to understand how data was produced to fully understand the effects of programming on student learning. Since the existing systematic literature reviews on research related to K-6 programming education do not fully cover the methodological aspects of the research, there is a gap within the research field which this study aims to fill.

The purpose of this study is to present the latest developments and tendencies through a systematic review of empirical research on the methodologies used in the emerging field of K-6 programming education. This is of importance in order to understand how the field is developing, but also to find gaps in the research field, which could give rise to discussions regarding how to fill these gaps. The study also aims to contribute to teacher education and to support teachers working with younger children, through a broader approach than previous literature reviews, presenting available K-6 programming research, thereby making it easier for practitioners to find relevant research that could contribute to their practice.

Research questions

What methodologies were used in the studies and where was the data collected?

What programming tools were used and what ages were the children in the studies?


Methodology, Methods, Research Instruments or Sources Used
The present study comprises a systematic literature review, exploring and analytically discussing programming education in K-6. A well-developed review requires a comprehensive search strategy to ensure a good starting point for the identification of relevant papers to review and eventually for the quality of the review (Kitchenham et al., 2009).
The study abides by the Prisma guidelines (Moher et al., 2009, Page et al., 2021) regarding systematic literature reviews. The databases Web of science and Scopus were both used in an effort to find all relevant articles. An example of the keywords used in the search were programming, coding, primary school, elementary school and early childhood education. The article search was finished June 2022 and includes articles ranging from that date until January 2013. Search results using Web of science was 836 articles and Scopus 1049 articles, in total 1885 articles. After removing duplicates and articles that was not possible to access the number of articles was reduced to 1104. Preliminary screening of title and abstracts according to inclusion criteria reduced the number of articles to 291. Inclusion criteria for this study is the following:
• Abstract, keywords or title must include the word programming, code or scratch
• Must be paper published in peer-reviewed journal and written in English.
• Studies with empirical data
• Studies with either teachers working in K-6 and/or studies with children in the age range of K-6
• Published 2013 or later
• Focusing only on teaching programming or related things like robotics, computational thinking
The 291 articles were then more thoroughly read in full and evaluated according to the inclusion criteria and this resulted in the final number of articles used in this literature review, 141.

Conclusions, Expected Outcomes or Findings
The following results are preliminary findings that will be expanded upon later and other aspects of the present research methodologies will be analysed.
Most analysed articles were published in recent years. During the years 2013-2019 in total 56 articles were published, compared to 84 papers 2020-2022. A majority of the papers used only quantitative method (77). Seventeen papers used only qualitative method in comparison with 46 papers using a mixed method. The most popular quantitative method was the use of pre and post-tests to evaluate the effect of some intervention. The study focus on K-6 as a whole, but most articles focuses on older schoolchildren, exemplified by 27 articles that focused solely on grade six students compared to three articles that focused on grade one students. This is an interesting finding as a number of countries have some sort of mandatory programming education starting from early grades (Bers, 2018).
The initial analysis shows a broad field of different programming tools with some examples being Bee-Bot (6), KIBO (7) and different kinds of LEGO programming (6). The most popular tool is Scratch (27 articles using only scratch) and ScratchJR (8). Tools play a major role in how and what is thought in regards to programming and will be discussed further. The country where data collection is done is also analysed and four countries are represented with 10+ articles, USA (28), China (18), Turkey (15) and Taiwan (10). Asia is the continent most prevalent in the field of K-6 programming education. Countries like the UK have mandatory programming education in schools (Department for Education, 2013) but few articles have collected data in the UK.  Presented insights in regards to possible gaps in the field of K-6 programming research will be discussed further.

References
Bers, M. U. (2018). Coding and Computational Thinking in Early Childhood: The Impact of ScratchJr in Europe. European Journal of STEM Education, 3(3), 08.
Department for Education. (2013). National curriculum in England: computing programmes of study. https://www.gov.uk/government/publications/national-curriculum-in-england-computing-programmes-of-study/national-curriculum-in-england-computing-programmes-of-study
Kakavas, P., & Ugolini, F. C. (2019). Computational thinking in primary education: A systematic literature review. Research on Education and Media, 11(2), 64-94.
Kitchenham, B., Brereton, O. P., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009). Systematic literature reviews in software engineering–a systematic literature review. Information and software technology, 51(1), 7-15.
Macrides, E., Miliou, O., & Angeli, C. (2022). Programming in early childhood education: A systematic review. International Journal of Child-Computer Interaction, 32, 100396.
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & PRISMA Group*, T. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Annals of internal medicine, 151(4), 264-269.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., ... & Moher, D. (2021). Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement. Journal of clinical epidemiology, 134, 103-112.
Papert, S. A. (1980). Mindstorms: Children, computers, and powerful ideas. Basic books.
Sun, L., Guo, Z., & Zhou, D. (2022). Developing K-12 students’ programming ability: A systematic literature review. Education and Information Technologies, 27(5), 7059-7097.
Trilling, B. & Fadel, C. (2009). 21st Century Skills: Learning for Life in Our Times. John Wiley & Sons.
Wing, J. (2006). Computational thinking. Communications of the ACM, 49(3). 33–36.
Xia, L., & Zhong, B. (2018). A systematic review on teaching and learning robotics content knowledge in K-12. Computers & Education, 127, 267-282.
 

 
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