Conference Agenda

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Session Overview
Session
99 ERC SES 03 K: ICT in Education and Training
Time:
Monday, 26/Aug/2024:
11:30 - 13:00

Session Chair: Sandra Langer
Location: Room 005 in ΧΩΔ 01 (Common Teaching Facilities [CTF01]) [Ground Floor]

Cap: 40

Paper Session

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Presentations
99. Emerging Researchers' Group (for presentation at Emerging Researchers' Conference)
Paper

Subjectivation and Inequalities in Non-Formal, Digitalised Educational Arrangements

Amelie Wiese

University of Cologne, Germany

Presenting Author: Wiese, Amelie

Different non-formal educational institutions in Germany provide afternoon activities, school holiday programs or extracurricular activities in schools that revolve around the usage of digital technologies such as 3D-printing, basic coding with microcomputers, gaming or photography/image editing. “DILABoration”, a joint German research project, aims at identifying conditions under which such non-formal educational arrangements create opportunities for participation and education specifically for marginalised youth. Drawing on the approach as well as the data from “DILABoration”, this dissertation project focuses on the question how processes of subject positioning and subjectivation unfold via addressing practices within these educational arrangements and in relation to digitality.

Following the increase of digital media use in recent years, new specific forms of culture, interaction and expression have emerged, pointing to a “culture of digitality” (Stalder 2016, 12-13). Digital technologies have become relevant for processes of subjectivation and orientation (Jörissen / Marotzki 2009). However, specific forms of subjectivity are considered legitimate or illegitimate within a discourse on digitality (Allert et al. 2017, 223, 13). In accordance with this, research has pointed to the social reproduction of inequalities via digital media access (first-level digital inequality) and digital media use (second level digital inequality; Hargittai 2002), based on existing levels of social and cultural and economic capital (Rudolph 2019; Iske / Kutscher 2020).

Therefore, marginalized youth require opportunities to appropriate practices of digital media use in ways that are valuable within their everyday lives. Non-formal educational arrangements may be specifically valuable in creating these opportunities (Fujii et al. 2021). Here, non-formal educational arrangements are understood as organisationally framed educational contexts outside of formal education, characterised by voluntary participation, lower levels of standardisation and lack of relevance to formal educational certification (Rohlfs 2012, 37).

Within formal educational contexts, conservative structures of educational practices have been shown to persist despite the inclusion of technological innovations (Thiersch / Wolf 2021). This emphasises the question, whether contingencies related to the involvement of digital technologies in educational practices unfold more easily or differently in less standardised, non-formal contexts. Moreover, marginalised youth may be enabled to appropriate digital media practices in ways that relate to their everyday lives within these contexts, if respective supportive structures are provided (Fujii et al., 2021). At the same time, normative ideas of ‘legitimate’ and ‘illegitimate’ media use are inscribed all social interactions in a digitalised society and are reproduced in non-formal educational contexts as well. This may further increase marginalisation if not reflected upon appropriately (ibid. 43; Dawson 2014).


Methodology, Methods, Research Instruments or Sources Used
In this dissertation project, potentials and limitations of non-formal digitalised educational arrangements with regard to inequalities are investigated through the lens of subject positionings unfolding in practice. Subject positions emerge within social relations and in relation to normativity, which can be captured through the lens of recognition theory (Reh /  Ricken 2012, 40). By operationalising recognition as addressing practices, embodied and discursive acts provide insight to the emergence of subject positions in practice (ibid., 42). Therefore, in this dissertation project, non-formal educational arrangements are understood as situations with specific elements and relations (Clarke 2021), in which shared practice and subject positionings unfold in different ways. Routinised interaction with artefacts, normative expectations of the usage of artefacts and the usage context of artefacts are recognised as constitutive dimensions of this (Rabenstein 2018, 24 f.). By applying this lens, the material and discursive dimension of digitality (Allert / Asmussen / Richter 2017, 13) within non-formal digitalised educational arrangements can be focused.

In order to investigate this, focused ethnographies (Knoblauch 2001), including participant observations and (some) video recordings, have been conducted in different educational arrangements provided by two non-formal educational institutions in 2022 and 2023. One institution is an independent non-profit organisation which provides different digital education programmes independently and in cooperation with other organisations (e.g. schools) in a “marginalised” district in a German city. The second institution is a youth club in a different German city, funded within the state youth welfare system and specialising in digital education. Participation in both organisations is free of charge. The arrangements focused in this project differ with respect to elements such as number of participants, roles of participants, activities, locations, involved (digital) artefacts and spatial conditions. The data is collected and analysed in an iterative process, informed by Grounded Theory Methodology (Corbin / Strauss 2015).  

Data analysis is conducted through sequence analysis and coding (Breidenstein 2020). Practice theory (Schatzki 2008) as well as addressing practices (Reh / Ricken 2012) are applied as sensitising concepts in this process. Moreover, Situational Analysis (Clarke 2021) is applied in order to take human as well as non-human entities and their affordances and relations within different educational arrangements into account through mapping. This analysis aims at decoding addressing practices within specific educational situations and the processes of subjectivation resulting from this.

Conclusions, Expected Outcomes or Findings
This dissertation project is still in progress. So far, case descriptions and situational maps of different educational arrangements have been developed. Selected sequences haven been analysed and coded openly. Different angles have been developed for further analysis. Going forward, these angles will be applied by browsing through the material again. The sensitising concept of addressing practices will be applied more strongly, aiming at developing an understanding of the concept in relation to the empirical material. The aim is to identify different conditions of non-formal digitalised educational arrangements and addressing practices within them, resulting in different processes of subject positionings. In order to understand the involvement of digitality and related notions of normativity in these arrangements and processes, the role of digital technologies will be focused on a material and discursive level. This approach is expected to provide insight into how processes of subjectivation and orientation in relation to digitality may be facilitated or inhibited for young participants in these kinds of arrangements. The approach is limited with regard to individual processes of subjectivation, which involve unobservable, internal dimensions (Reh / Ricken 2012, 44). At the Emerging Researchers’ Conference, the research interest and the theoretical framework of this dissertation will be presented. In relation to core sequences from the empirical material, potentialities and limitations of applying “addressing practices” as a theoretical lens will be discussed. The presentation aims at discussing and reviewing this approach with other emerging researchers as well as more experienced researches in similar fields.
References
Allert, H., Asmussen, M., & Richter, C. (2017). Digitalität und Selbst: Einleitung. In H. Allert, M. Asmussen, & C. Richter (Eds.), Digitalität und Selbst: Interdisziplinäre Perspektiven auf Subjektivierungs- und Bildungsprozesse (pp. 9–23). Transcript.

Breidenstein, G., Hirschauer, S., Kalthoff, H., & Nieswand, B. (2020). Ethnografie: Die Praxis der Feldforschung (Thrid Edition). UVK Verlag.

Clarke, A. E. (2021). From Grounded Theory to Situational Analysis. In J. M. Morse (Eds.), Developing grounded theory: The second generation revisited (Second Edition, pp. 223–266). Routledge.

Corbin, J. M., & Strauss, A. L. (2015). Basics of qualitative research: Techniques and procedures for developing grounded theory (Fourth edition). SAGE.

Dawson, E. (2014). Equity in informal science education: Developing an access and equity framework for science museums and science centres. Studies in Science Education, 50(2), 209–247. https://doi.org/10.1080/03057267.2014.957558

Fujii, M. S., Kutscher, N., & Niermann, K.-M. (2021). Grenzen pädagogischen Handelns: Medienbildung zwischen Anerkennung und Handlungsbefähigung. In J. Wahl, I. Schell-Kiehl, & T. Damberger (Eds.), Pädagogik, Soziale Arbeit und Digitalität: = Education, social work and digitality. Beltz Juventa.

Hargittai, E. (2002). Second-Level Digital Divide: Differences in People’s Online Skills. First Monday, 7(4). https://doi.org/10.5210/fm.v7i4.942

Iske, S., Kutscher, N. (2020). Digitale Ungleichheiten im Kontext Sozialer Arbeit. In: Kutscher, Nadia/Ley, Thomas/Seelmeyer, Udo/Siller, Friederike/Tillmann, Angela/Zorn, Isabel (Eds.): Handbuch Soziale Arbeit und Digitalisierung (pp. 115–124). Beltz Juventa.
 
Jörissen, B., & Marotzki, W. (2009). Medienbildung - eine Einführung: Theorie - Methoden - Analysen. Klinkhardt.

Knoblauch, H. (2005). Focused Ethnography. Forum: Qualitative Social Research, Vol 6, No 3: The State of the Art of Qualitative Research in Europe. https://doi.org/10.17169/FQS-6.3.20

Rabenstein, K. (2017). Wie schaffen Dinge Unterschiede? In A. Tervooren & R. Kreitz (Eds.), Dinge und Raum in der qualitativen Bildungs- und Biographieforschung (pp. 15–35). Verlag Barbara Budrich. https://doi.org/10.2307/j.ctv8xnfwg

Reh, S., & Ricken, N. (2012). Das Konzept der Adressierung. In I. Miethe & H.-R. Müller (Eds.), Qualitative Bildungsforschung und Bildungstheorie (pp. 35–56). Verlag Barbara Budrich. https://doi.org/10.2307/j.ctvd7w919

Rohlfs, C. (2011). Ein neuer Bildungsbegriff? In C. Rohlfs, Bildungseinstellungen (pp. 33–54). VS Verlag für Sozialwissenschaften. https://doi.org/10.1007/978-3-531-92811-1_3

Rudolph, S. (2019). Digitale Medien, Partizipation und Ungleichheit: Eine Studie zum sozialen Gebrauch des Internets. Springer VS.

Schatzki, T. R. (2008). Social practices: A Wittgensteinian approach to human activity and the social. Cambridge University Press.

Stalder, F. (2016). Kultur der Digitalität. Suhrkamp.

Thiersch, S., & Wolf, E. (2023). Digitale Dinge im schulischen Unterricht. In C. Leineweber, M. Waldmann, & M. Wunder (Eds.), Materialität – Digitalisierung – Bildung. Verlag Julius Klinkhardt.


99. Emerging Researchers' Group (for presentation at Emerging Researchers' Conference)
Paper

The Relationship Between Learning Design Patterns and Digital Distraction - A Multiple Case Study in Vocational Schools

Judith Wittig

University of Bamberg, Germany

Presenting Author: Wittig, Judith

The integration of digitization in classrooms is reshaping teaching and learning methods, presenting new opportunities and challenges. Digital technologies offer the potential to expand the classroom's boundaries and connect it with the outside world (Gerholz, Ciolek & Wagner 2020). However, alongside these benefits, challenges arise, such as the increased and simultaneous use of media by contemporary students, leading to reduced attention and performance (Qian & Li 2017; Bolkan & Griffin 2017). The accessibility of digital tools like smartphones and tablets tempts students to engage in non-class-related activities during lessons (Kay, Benzimra & Li 2017). A study found that Generation Z students spend 19.4% of their school day on off-task mobile use, disrupting learning (McCoy, 2020). Teachers often resort to measures like deactivating Wi-Fi, blocking websites, or using monitoring apps, but these can hinder participation and motivation. Such tactics also limit the potential of digital educational technologies, making them counterproductive. Cell phone bans and digital monitoring are not effective. Instead, efforts should focus on enhancing active participation and learning engagement to prevent off-task behaviour (Flanigan et al., 2023). Previous studies have investigated off-task behaviour of learners in various educational contexts to identify factors that contribute to digital distraction. A comprehensive literature review was undertaken to encapsulate the diverse findings in this domain, culminating in the formulation of a cohesive model. The identified factors coalesce into three principal categories, each delineating distinct perspectives on the observed phenomenon. Primarily, the model underscores the significance of teaching quality dimensions, including the establishment of a conducive classroom climate and proficient classroom management. Empirical evidence attests that considerations of these quality dimensions yield enhanced learning outcomes on multiple instances (Praetorius et al. 2020; Kounin 1970; Qian & Li 2017; Kay, Benzimra & Li 2017). The maximization of effective learning time is intricately linked to the mitigation of unproductive learning time, typified by the aforementioned off-task behaviors (Fried 2008). To investigate off-task behaviour, it is also useful to consider the learner's perspective. The teacher should take into account individual learning prerequisites when designing lessons, along with planning methods and social forms. These prerequisites comprise of students' self-efficacy, motivation, and emotional states during learning (Pekrun 2006). Such factors emerge as predictive indicators for less off-task behaviour (Flanigan et al. 2023). In addition, the instructional design of the classroom can extend the amount of time spent on the task. Collaborative and interactive work phases can foster active engagement with the learning content (Kay, Benzimra & Li 2017). Furthermore, the quality of the integration of digital technologies is of great importance in achieving meaningful utilization. If digital technologies are used only as a replacement for traditional media, there is often no identifiable added value. However, increased integration has shown positive outcomes in terms of technology acceptance and motivation to learn (Gerholz, Ciolek & Wagner 2020. Therefore, it can be argued that purposeful use of technology in the classroom can lead to fewer off-task activities (Kay & Lauricella 2011). Preventing off-task behaviour in a sustainable manner requires successful consideration of instructional design features, students' learning prerequisites, and teaching quality dimensions. It is important to note that these three lenses, which combine the different causes of off-task behaviour, should not be considered separately, as they are characterized by overlaps and interactions.

The key research questions for exploring digital off-task behaviours of students during class in several subjects are therefore as follows:

1. which factors lead to digital off-task behaviour of students in lessons at vocational schools with digital educational technologies?

2. which instructional design patterns can prevent off-task behaviour of students in lessons at vocational schools with digital educational technologies?


Methodology, Methods, Research Instruments or Sources Used
This study employs a case study research methodology, which is suitable for analysing learning situations and lessons in a context-sensitive manner due to the special nature of multicriticality. Case study research has the advantage of being able to analyse complex mechanisms of action. The focus is on specific areas along propositions rather than the completeness of the survey of all factors. These propositions are based on theoretical and empirical findings, and inductively derived from the available study material. Method triangulation can further validate and generalize the results. Yin (2014) classifies case studies into four basic types based on two dimensions. The present study employs a multiple-case design, defining both several cases and several objects of analysis within the cases. The study's data set comprises 10 vocational schools in Germany. For each school, one class and one teacher were interviewed. The survey employed a quantitative questionnaire, as well as focus group and expert interviews. In addition, teaching materials were analysed in order to have a documentation of the teaching events. Following Yin's (2014) definition, a case is an object that is directly relevant to answering the research question. This study examines the class under investigation, which can be divided into several objects of analysis. These are defined by the teaching staff, the pupils, and the learning situation itself. The case study analysis takes into account the context of individual cases, which contains important implications for answering the research question. The present study focuses on off-task behaviour with and through digital educational technologies. A total of 155 VET-students and 10 teachers were interviewed about one specific teaching sequence per school, including the subjects mathematics, German, business administration, English and electrical engineering.
Conclusions, Expected Outcomes or Findings
The results of the study show that digital technologies bring with them an increased potential for distraction for learners. Compared to traditional lessons, learners state that they are increasingly distracted by the technologies and use them for activities unrelated to the lesson. However, the reasons that ultimately lead to off-task behaviour cannot be attributed solely to the presence of digital devices in the classroom. Rather, the analysis of the student survey revealed that the factors for this lie in features of the lesson design, such as low student activation or monotonous lessons. The teachers surveyed also mentioned aspects of pupils' individual learning requirements as a reason for off-task behaviour, such as a lack of motivation and willingness to make an effort. The question of how lessons should be designed so that off-task behaviour occurs less frequently is therefore not easy to answer. Rather, it depends on several factors that can influence each other. The results point to several design patterns that can curb the distraction potential of digital educational technologies. A positive teacher-student relationship, coupled with meaningful lesson topics and diverse integration of technologies can be presented here as an example of a promising design pattern.
References
Bolkan, S. & Griffin, D. J. (2017). Students’ use of cell phones in class for off-task behaviors: The indirect impact of instructors’ teaching behaviors through boredom and students’ attitudes. Communication Education, 66(3), 313–329.

Flanigan, A.E., Brady, A.C., Dai, Y. & Ray, E. (2023). Managing Student Digital Distraction in the College Classroom: a Self-Determination Theory Perspective. Educational Psychology Review, 35(60). https://doi.org/10.1007/s10648-023-09780-y
Fried, C. B. (2008). In-class laptop use and its effects on student learning. Computers & Education, 50(3), 906–914.

Gerholz, K., Ciolek, S., & Wagner, A.C. (2020). Digitalisation of Design Research – A case study to illustrate the use of digital technologies and tools for collaboration in Design Research projects. EDeR - Educational Design Research, 4(1), 1-17.

Kay, R., Benzimra, D., & Li, J. (2017). Exploring Factors That Influence Technology-Based Distractions in Bring Your Own Device Classrooms. Journal of Educational Computing Research, 55(7), 974-995.

Kay, R. H., & Lauricella, S. (2011). Exploring the benefits and challenges of using laptop computers in higher education classrooms: A formative analysis. Canadian Journal of Learning and Technology, 37(1), 1–18.

Kounin, J. S. (1970). Discipline and Group Management in Classrooms. New York: Holt, Rinehart and Winston.

McCoy, B.R. (2020). Gen Z and Digital Distractions in the Classroom: Student Classroom Use of Digital Devices for Non-Class Related Purposes. Faculty Publications, College of Journalism & Mass Communications. 116. URL: https://digitalcommons.unl.edu/journalismfacpub/116, Last access: 29.01.2024.

Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18 (4), 315-341.

Praetorius, A.-K., Klieme, E., Kleickmann, T., Brunner, E., Lindmeier, A., Taut, S., Charalambous, C.(2020). Towards developing a theory of generic teaching quality. Origin, current status, and necessary next steps regarding the Three Basic Dimensions Model. In A.-K., Praetorius, J.,Grünkorn & E., Klieme (Eds.), Empirische Forschung zu Unterrichtsqualität. Theoretische Grundfragen und quantitative Modellierungen. (1. ed, pp. 15-36). Beltz Juventa.

Qian, Y. & Li, L. (2017). Student Off-Task Electronic Multitasking Predictors: Scale Development and Validation. Journal of the Scholarship of Teaching and Learning, 17(2), 53-73.

Yin, R. K. (2014): Case Study Research. Design and Methods. 5. ed, Thousand Oaks: Sage.