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16 SES 11 A
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16. ICT in Education and Training
Paper Ecological Approach to Teacher Agency in the Context of Educational Technology University of Eastern Finland, Finland Presenting Author:The continuous evolution of educational technologies requires teachers to engage in ongoing pedagogical adaptation. As key actors in the practical digitalisation of education, teachers play a central role in equipping students with knowledge and skills needed for an increasingly digital future (Caena & Redecker, 2019). Teachers and integration of educational technology into teaching have been extensively studied over the decades using different theoretical frameworks and there are many studies on this topic from various viewpoints (Valtonen et al., 2022). However, the concept of teacher agency has received limited attention from the perspective of educational technology (Albion & Tondeur, 2018). This is notable because teacher agency has been widely used to understand teachers as developers and agents of change (Priestley et al., 2015), and technological change in education is continuous (Mishra et al., 2024). This study aims to examine teachers as actors in digitalised teaching and to elaborate on the concept of teacher agency in an educational technology context. To achieve this, we adopt an ecological approach to teacher agency as our theoretical framework (Leijen et al., 2020; Priestley et al., 2022). Conceptually, teacher agency has several overlapping definitions. For this study, to emphasise the educational technology context, we have chosen the ecological approach, defining teacher agency as self-initiated and goal-oriented choosing and decision-making related to the contexts of work (Biesta et al., 2015; Leijen et al., 2020). This allows us to focus on teachers’ actions and study how teacher agency is enacted through interaction with, and influence on, conditions of work. In this paper, we present findings from three studies of Finnish in-service teachers working in primary and secondary schools. Across these studies, we focus on teachers’ perceptions of the conditions in their working environment regarding educational technology. Through these studies we are able to scrutinise how teacher agency is formed and enacted in the educational technology settings. Methodology, Methods, Research Instruments or Sources Used This study consists of three sub-studies on teacher agency and educational technology. One of them has quantitative approach with latent profile analysis (Spurk et al., 2020) and two of them have qualitative approach with theory-guided content analysis (Elo & Kyngäs, 2008). The participants of these studies are experienced in-service teachers who work in primary and secondary schools in Finland. For study 1 (N = 956) we adapted teacher agency instrument (Vähäsantanen et al., 2022) for educational technology purposes and identified four distinct teacher agency profiles. In study 2 (N = 41) we used theory-guided content analysis of reflective texts from teachers who attended extensive digital pedagogy expert training and generated three teacher agency characters that differed in professional learning orientations, stance-taking toward digitalisation in schools, and positioning of students and colleagues. In study 3 (N = 198) we analysed teachers’ open-ended responses after emergency remote teaching. The analysis showed how teacher agency was enabled or constrained through digital tools, collegial collaboration, student interaction and leadership conditions. To synthetise these three studies we follow the models of ecological approach to teacher agency (Leijen et al., 2020; Priestley et al., 2022) and build an understanding of the concept of teacher agency in educational technology contexts. Conclusions, Expected Outcomes or Findings According to these three studies, teacher agency in educational technology context is plural, context-sensitive and fundamentally social. Teacher agency is formed and enacted not only through teachers’ professional knowledge and skills related to educational technology, but also through their beliefs, values and future-oriented aspirations connected to digitalisation. Every teacher has their own combination of agentic features and teacher agency evolves over time. From ecological perspective, teacher agency in the context of educational technology consists of four domains which intersect. First, the individual domain includes teacher’s orientation towards the educational technology such as professional knowledge and prior experience with technology, pedagogical goals and aims for future and teaching with technology along with individual beliefs and values. Second, the material domain concerns the technologies available for teaching – digital tools, platforms and software that shape what is possible in practise. Third, the social domain with peer networks, collaboration, shared practices, and practical and emotional support. Fourth, the structural domain includes curriculum demands and the organisational conditions like leadership and management, and decision-making structures. Teacher agency is achieved at the intersection of these domains, and it shapes teachers’ possibilities to adapt, innovate and influence digitalised teaching. References Albion, P. R., & Tondeur, J. (2018). Information and Communication Technology and Education: Meaningful Change Through Teacher Agency. In J. Voogt, G. Knezek, R. Christensen, & K.-W. Lai (Eds.), Second Handbook of Information Technology in Primary and Secondary Education (pp. 381–396). Springer International Publishing. https://doi.org/10.1007/978-3-319-71054-9_25 Biesta, G., Priestley, M., & Robinson, S. (2015). The role of beliefs in teacher agency. Teachers and Teaching, 21(6), 624–640. https://doi.org/10.1080/13540602.2015.1044325 Caena, F., & Redecker, C. (2019). Aligning teacher competence frameworks to 21st century challenges: The case for the European Digital Competence Framework for Educators (Digcompedu). European Journal of Education, 54(3), 356–369. https://doi.org/10.1111/ejed.12345 Elo, S., & Kyngäs, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing, 62(1), 107–115. https://doi.org/10.1111/j.1365-2648.2007.04569.x Leijen, Ä., Pedaste, M., & Lepp, L. (2020). TEACHER AGENCY FOLLOWING THE ECOLOGICAL MODEL: HOW IT IS ACHIEVED AND HOW IT COULD BE STRENGTHENED BY DIFFERENT TYPES OF REFLECTION. British Journal of Educational Studies, 68(3), 295–310. https://doi.org/10.1080/00071005.2019.1672855 Mishra, P., Oster, N., & Henriksen, D. (2024). Generative AI, Teacher Knowledge and Educational Research: Bridging Short- and Long-Term Perspectives. TechTrends, 68(2), 205–210. https://doi.org/10.1007/s11528-024-00938-1 Priestley, M., Biesta, G., & Robinson, S. (2015). Teacher Agency: An Ecological Approach. Bloomsbury Publishing. Priestley, M., Robinson, S., & Biesta, G. (2022). Mapping teacher agency: An ecological approach to understanding teachers’ work. Spurk, D., Hirschi, A., Wang, M., Valero, D., & Kauffeld, S. (2020). Latent profile analysis: A review and “how to” guide of its application within vocational behavior research. Journal of Vocational Behavior, 120, 103445. https://doi.org/10.1016/j.jvb.2020.103445 Vähäsantanen, K., Räikkönen, E., Paloniemi, S., & Hökkä, P. (2022). Acting Agentically at Work: Developing a Short Measure of Professional Agency. Nordic Journal of Working Life Studies. https://doi.org/10.18291/njwls.127869 Valtonen, T., López-Pernas, S., Saqr, M., Vartiainen, H., Sointu, E. T., & Tedre, M. (2022). The nature and building blocks of educational technology research. Computers in Human Behavior, 128, 107123. https://doi.org/10.1016/j.chb.2021.107123 16. ICT in Education and Training
Paper Teacher Roles Promoting Different Learning Ways in 5-7-Year-Old Children in the Educational Contexts that Integrate Real Environment and Augmented Reality Tools Vytautas Magnus University, Lithuania Presenting Author:Recently, augmented reality technology (hereinafter - ART) tools have been actively developed around the world, enriching not only general education but also preschool education (Magic Match Card; Magic Flashcard, Pocket Vehicles, etc.). This has opened up space for research evaluating the accessibility and suitability of ART tools for the education of preschool-aged children, justifying which tools can be used for specific areas of children's education and how (Masmuzidin et al., 2022; Yılmaz and Gözüm, 2023; Zhufeng and Sitthiworachart, 2024); revealing the impact of ART tools on children's motivation, attention and concentration, perception, and emotional self-regulation (Jafari, 2023; Maulida et al., 2024; Ateş and Polat, 2025). Several less explored aspects arise in the context of the research being conducted. One of them is the impact of the use of ART tools on the development of children's learning styles. Studies show that the use of ART increases the diversity of children's learning styles, broadens the boundaries of sensory perception of the real world, personalizes learning (Peikos and Sofianidis, 2024), corresponds to children's natural syncretic mode of perception (Cascales et al., 2012); and encourages independent exploration and discovery (Ateş and Polat, 2025). However, there is a lack of research revealing which active learning styles—learning by trial and error, learning through exploration, learning through collaboration, learning by asking for and offering help, reflective learning – are initiated by the use of ART tools. It is unclear to what extent undesirable reproductive learning situations arise when using ART tools. A sensitive and still little-researched aspect is the desire to adapt the use of ART tools to the specifics of preschool education, creating conditions for experiential learning and learning through play. To this end, children's learning contexts are being modelled. It is precisely these learning contexts that are the factor through which ART technologies can be naturally integrated into children's learning (Edwards, 2014; Kayaduman and Sağlam, 2023), because real-world tools in the created educational context can be supplemented with ART tools, creating a whole range of learning opportunities and diversity. Equally important is the role played by the teacher when working in the context of integrated real-world environments and ART tools. An analysis of theoretical approaches and the use of ART in children's education has shown that the use of ART can encourage the transformation of preschool education from academic education to experiential, self-regulated, game-based, personalized education for children. However, the opposite phenomenon is often observed, where teachers use ART tools to academize the education process, giving the child only a passive participant role (Tural, 2020; Yilmaz et al., 2024). When analysing studies on the application of ART, it is often possible to identify the role that teachers take on when educating children, but we were unable to find any targeted studies on the impact of the roles performed by teachers on children's learning. Based on constructivism, sociocultural and connectivism theories, we identified and conceptualized three key roles assumed by teachers that should be conducive to children's learning when applying ART tools: context creator (hereinafter - CC), proactive moderator (hereinafter - PM), and minimal instruction provider (hereinafter - MIP). It should be noted that these roles of the teacher have only been fragmentarily addressed in previous studies and have not been systematically researched in terms of their effectiveness. Taking into account less researched aspects, the study presented in this paper sought to answer the question: Do the roles assumed by the teacher as CC, PM, and MIP differ according to the averages of the learning styles encouraged in children when they play in contexts that integrate real-world and ART tools? Methodology, Methods, Research Instruments or Sources Used The study used a quantitative research approach and a quasi-experiment. Two different integrated contexts of real-world environments and ART tools were created for the quasi-experiment: the context of human body exploration; the context of exploring the Sun and the planets of the Solar System, in which ART tools are used to enrich children's learning and provide opportunities to learn in different ways. When children were working in the integrated contexts, teachers took on different roles – context creator, moderator, or provider of minimal instructions. The following hypotheses were tested: Hypothesis 1. The role of context creator differs statistically significantly from the role of proactive moderator in terms of the average number of child learning cases stimulated. Hypothesis 2. The role of context creator differs statistically significantly from the role of minimal instruction provider in terms of the average number of instances of child learning stimulated. Hypothesis 3. The role of the proactive moderator differs statistically significantly from the role of the minimal instruction provider in terms of the average number of instances of child learning stimulated. A convenience sample was used to form the research sample. The entire sample consisted of 120 preschool-aged children, including 76 boys, 44 girls, and 12 teachers. Data collection method. Observation of the activities of children aged 5–7 in two integrated real-environment and augmented-reality learning contexts designed for them, with the aim of identifying children's learning styles and their expression. Data collection process. The study was conducted in a natural environment familiar to children, i.e., a preschool educational institution. The observation of children's activities was carried out after prior consultation and agreement with all participants in the educational process, with the consent of the institution's management, children's parents (guardians), and group teachers. Forty-minute videos were recorded using a video camera and a smartphone. The children's language, interaction, activities, creativity, problem solving, and exploration were recorded. The videos were then analysed to identify the children's learning styles and their expression, and observation protocols were completed. All filmed material was transcribed, identifying the learning styles and their characteristics that manifested in the children's activities, which were then coded, counted, and systematized. Data analysis methods. The research data were processed using SPSS software (IBM SPSS Statistics 29.0). The children's learning styles recorded during the study were coded and entered into the SPSS program. Quantitative research data analysis methods were applied: descriptive statistical analysis; Student's t-test for independent samples. Conclusions, Expected Outcomes or Findings During the quasi-experiment, hypothesis 1 was partially confirmed. It was found that the role of CC assumed by teachers led to statistically significantly fewer cases of undesirable reproductive learning than the role of PM (an average of 0.92 and 1.85 cases per child during a 40-minute activity). Based on the average number of learning trials and errors and learning through exploration per child between the two roles, no statistically significant difference was found. The PM role encouraged statistically significantly more cases of learning by asking for help and offering help (5.16) and learning by reflecting (7.17) than the CC role (2.13 and 4.84). Hypothesis 2 was partially confirmed. It was found that the MIP role led to statistically significantly more cases of undesirable reproductive learning among children than the CC role (3.20 and 0.92). The role of CC was more conducive to learning through exploration (4.36) and learning through collaboration (5.37) than the role of MIP (3.59 and 4.28). Hypothesis 3 was partially confirmed. It was found that the role of MIP (an average of 3.20 per child) statistically significantly more encouraged undesirable reproductive learning in children than the role of PM (1.85). The role of PM led to a statistically significant increase in cases of learning through exploration (4.27), asking for and offering help (5.16), and learning through reflection (7.17) compared to the role of MIP (3.59, 4.54, and 5.44, respectively). When using ART for the education of children aged 5–7, contexts should be created that consist of real tools, materials and one or more ART tools. When children are working in these contexts, the teacher should take on and alternate between the roles of CC, PM, and MIP, depending on the educational situation, as some roles are more effective in promoting certain experiential learning situations than others. References Ateş, H., & Polat, M. (2025). Leveraging Augmented Reality and Gamification for Enhanced Self-Regulation in Science Education. Education and Information Technologies. https://doi.org/10.1007/s10639-025-13481-0 Cascales, A., Laguna, I., Pérez-López, D., Perona, P., & Contero, M. (2012). Augmented Reality for preschoolers: An Experience around Natural Sciences Educational Contents. Spdece, (June), 113–122. Retrieved from: https://www.researchgate.net/publication/281345069_Augmented_Reality_for_Preschoolers_An_Experience_around_Natural_Sciences_Educational_Contents Edwards, S. (2014). Towards contemporary play: Sociocultural Theory and the Digital Consumerist Context. Journal of Early Childhood Research, 12(3), 219–233. https://doi.org/10.1177/1476718x14538596 Yilmaz, M. M., Bekirler, A., & Sigirtmac, A. D. (2024). Inspiring an Early Passion for Science: The Impact of Hands-on Activities on Children’s Motivation. ECNU Review of Education, 7(4), 1033–1053. https://doi.org/10.1177/20965311241265413 Yilmaz, Z. A., & Gözüm, A. İ. C. (2023). Augmented Reality app In Pre-School Education: Children’s Knowledge about Animals. Southeast Asia Early Childhood Journal, 12(2), 130. https://doi.org/10.37134/saecj.vol12.2.8.2023 Jafari, E. (2023). The Effect of Augmented Reality on the Level of Attention of First Elementary Students in the Course of Experimental Sciences. The Journal of Educators Online, 20(3). https://doi.org/10.9743/jeo.2023.20.3.20 Kayaduman, H., & Sağlam, M. (2023). An Examination of the Research Studies on Augmented Reality use in Preschool Education: a Bibliometric Mapping Analysis. Journal of Research on Technology in Education, 56(5), 595–615. https://doi.org/10.1080/15391523.2023.2186988 Masmuzidin, M. Z., Aziz, N. A., & Suhaimi, S. (2022). A Systematic Review of the Design of Augmented Reality Applications for Young Children. International Journal of Interactive Mobile Technologies (iJIM), 16(17), 60–74. https://doi.org/10.3991/ijim.v16i17.31837 Maulida, A. S., Wahyudin, W., Turmudi, T., & Nurlaelah, E. (2024). The Effect of Experiential Learning and Directed Instructions Assisted by Augmented Reality on Students’ Self Regulated Learning. Infinity Journal, 13(2). https://doi.org/10.22460/infinity.v13i2.p553-568 Peikos, G., & Sofianidis, A. (2024). What is the Future of Augmented Reality in Science Teaching and Learning? an Exploratory Study on Primary and Pre-School Teacher Students’ Views. Education Sciences, 14(5), 480. https://doi.org/10.3390/educsci14050480 Tural, G. (2020). Promoting Students’ Understanding of the Concept of Pressure: Active Learning Environment versus Traditional One. Mimbar Sekolah Dasar, 7(3), 284–303. https://doi.org/10.17509/mimbar-sd.v7i3.29391 Zhufeng, Y., & Sitthiworachart, J. (2023). Effect of Augmented Reality Technology on Learning Behavior and Attitudes of Preschool Students in Science Activities. Education and Information Technologies, 29(4), 4763–4784. https://doi.org/10.1007/s10639-02312012-z 16. ICT in Education and Training
Paper Integrating Geographic Information Systems into Geography Education in Kosovo Faculty of Education, University of Prishtina, Kosovo Presenting Author:Digital technologies have become an integral part of contemporary education, reshaping how knowledge is accessed, represented, and constructed. Among these technologies, geospatial tools embedded in everyday digital applications have fundamentally transformed how individuals perceive and interact with space. Different technologies function as extensive repositories of spatial data, enabling users to visualize geographic patterns (Camobell, 2012). monitor spatial change and analyze relationships between natural and human phenomena. As a result, spatial thinking has become an essential competence for understanding the increasingly complex spatial organization of modern societies (Council, 2006). Spatial thinking refers to the ability to understand, reason, and make decisions based on spatial relationships (Downs, 2006). It involves the integration of spatial concepts, tools for representation, and reasoning processes that allow individuals to interpret geographic information effectively. Research emphasizes that spatial thinking is not an innate skill but one that can be systematically developed through education, particularly when supported by appropriate technologies (Kitchin, 2014). Geographic Information Systems (hereafter: GIS) provide a powerful framework for this development, as they allow students to manipulate, analyze, and interpret spatial data rather than merely observe it. When embedded into teaching practice, GIS shifts learning from passive reception of information toward active inquiry, problem-solving, and analytical reasoning. In geography education, the pedagogical potential of GIS is widely acknowledged (Jonathan Campbell, 2012). Numerous studies demonstrate that GIS-supported instruction enhances students’ spatial literacy, promotes higher-order thinking skills, and supports interdisciplinary learning. Countries such as the United States, Australia, France, Norway, and New Zealand have already integrated GIS into national curricula, recognizing its role in preparing students for data-driven societies and spatially oriented professions (Eyüp Artvinli, 2022). Through digital maps, satellite imagery, and spatial databases, students are able to explore real world phenomena, examine spatial patterns, and connect abstract geographic concepts with tangible contexts. Despite these global developments, the integration of GIS into formal education remains uneven, particularly in developing and post-conflict contexts. Kosovo represents a compelling case in this regard (ASK, 2025). Following the war at the end of the twentieth century, the country inherited a severely damaged educational infrastructure. Over the past two decades, however, substantial investments from international organizations and public funding have contributed to the rapid expansion of ICT infrastructure in schools. Access to computers and internet connectivity has improved significantly, creating favorable technical conditions for digital learning. Nevertheless, the pedagogical use of advanced geospatial technologies in geography education remains limited. Geography teaching in Kosovo continues to rely predominantly on traditional methods, such as printed textbooks and static maps. While these resources support foundational geographic knowledge, they often fail to foster deeper spatial reasoning, analytical skills, and data interpretation abilities. At the same time, students increasingly engage with spatial technologies outside the classroom through navigation apps, social media, and digital mapping platforms (Kerski, 2014). This study examines the integration of GIS and digital geographic platforms in geography education in Kosovo (MASHT, 2022), with a particular emphasis on the transition from the use of digital tools toward the development of students’ spatial thinking. This study seeks to identify both opportunities and barriers to meaningful GIS integration. By positioning Kosovo as a case study, this research contributes to broader European discussions on digital transformation in education. Research Questions: RQ1: What is the current level of availability and use of GIS and digital geographic RQ2: How do in-service geography teachers perceive the usefulness and ease of use RQ3: What are teachers’ overall attitudes and behavioral intentions toward integrating Methodology, Methods, Research Instruments or Sources Used This study adopts a mixed-methods research design, combining quantitative and qualitative approaches to examine the integration of Geographic Information Systems (GIS) in geography education in Kosovo (Nuci et al, 2021). The mixed-methods approach was selected to provide a comprehensive understanding of both measurable acceptance factors and contextual experiences related to the use of geospatial technologies in teaching and learning. Quantitative data were used to assess patterns of technology acceptance, while qualitative data supported the interpretation of attitudes, perceptions, and pedagogical experiences. Participants and Sampling The study involved 74 participants, drawn from lower and upper secondary schools across Kosovo. Participants were selected using a purposive sampling strategy, ensuring representation from both urban and rural regions and reflecting variation in school infrastructure and digital readiness. This approach was adopted to capture diverse educational contexts and to increase the relevance of findings for the national education system. Research Instruments The primary research instrument was a structured questionnaire developed on the basis of the Technology Acceptance Model (Masrom, 2007). The questionnaire consisted of several sections designed to measure: (i) ICT access and digital learning conditions, including device ownership, internet connectivity at home and school, and perceived infrastructural barriers; (ii) Perceived Ease of Use (PEOU) of GIS, assessing how easily participants could interact with and apply GIS tools; (iii) Perceived Usefulness (PU) of GIS, focusing on its contribution to learning effectiveness, productivity, and understanding of geographic concepts; (iv) Attitude toward GIS use, examining students’ emotional and motivational responses; (v) Behavioral Intention to Use GIS, measuring willingness to continue using GIS and to engage with future developments; and (vi) Self-efficacy and value alignment, addressing confidence in using GIS and its perceived relevance to personal and societal values. The dominated items were measured using a five-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). The questionnaire also included open-ended questions, allowing participants to express their opinions regarding the use of GIS across different scientific subjects. Data Collection and Analysis Data were collected online, ensuring anonymity and voluntary participation. Quantitative data were analyzed using descriptive statistical methods, including means and standard deviations, to identify trends across TAM constructs. Qualitative responses were analyzed through thematic analysis, enabling the identification of recurring themes related to engagement, usability, and perceived educational value. Conclusions, Expected Outcomes or Findings This study examined the integration of Geographic Information Systems (GIS) in geography education in Kosovo, with a particular focus on students’ acceptance of geospatial technologies and their potential to support the development of spatial thinking. The findings indicate that GIS is perceived as a highly valuable educational tool, capable of enhancing learning effectiveness, increasing student engagement, and fostering positive attitudes toward geography and related scientific disciplines. Across all TAM constructs, Attitude toward GIS resulted with Mean = 4.49, followed by behavioral intention to continue using GIS with Mean = 4.43, perceived usefulness emerged as predictor of acceptance with Mean = 4.29, and concluded with the lowest result in Perceived Easy of Use with Mean = 3.43. The expected educational outcomes of GIS integration extend beyond improved subject knowledge. GIS-supported learning encourages students to engage with real-world data, interpret spatial patterns, and apply geographic concepts to authentic contexts, thereby strengthening spatial literacy and higher-order cognitive skills. The positive behavioral intentions expressed by participants further suggest that GIS has the potential to promote sustained engagement with geography and to support interdisciplinary learning across scientific subjects. From a broader perspective, this study underscores the need for a systemic approach to GIS integration in Kosovo’s education system. Effective implementation requires alignment between curriculum design, teacher professional development, and technological infrastructure. By addressing both structural and acceptance-related factors, GIS can contribute meaningfully to the digital transformation of education and to the preparation of students for data-driven and spatially oriented societies. Overall, the findings position GIS as a powerful pedagogical tool for advancing spatial thinking in geography education, while emphasizing that its successful adoption depends on intentional educational strategies rather than technology alone. References ASK, S. A. (2024). Statistikat e Arsimit në Kosovë. Prishtine. Council, N. R. (2006). Learning To Think Spatially. Washington. Council, N. R. (2006). Learning to Thinnk Spatually. Washington D.C.: The National Academies Press. David Sibley, P. J. (2005). Cultural Geography A Critical Dictionary of Key Concepts . London - New York: I.B.Tauris. ASK, (2025). Statistikat e Arsimit ne Kosove. Online: https://masht.rks-gov.net/wp-content/uploads/2025/08/Statistikat-e-Arsimit-ne-Kosove-2024-2025-compressed-2.pdf Downs, R. M. (2006). Learning to Think Spatially. Eyüp Artvinli, I. G. (2022). Geography Teacher, Education and Professionalization. london: Springe International Publishing. Jahnke, I. a. (2020). hree types of integrated course designs for using mobile technologies to support creativity in higher education. Computers & Education . Jonathan Campbell, M. S. (2012). Geographic Information System Basics. Jonathan E. Campbell, M. S. (2012). Geographic Information System Basics (v. 1.0). Page 10: Creative Common. Joseph J. Kerski, A. D. (2013). The Global Landscape of GIS in Secondary Education. Journal of Geography, 2022 - 247. Joseph J. Kerski, A. D. (2014). The Global Landscape of GIS in Secondary Education. Journal of Geography, 233 - 247. Kitchin, R. (2014). The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences. London: SAGE . MASHT. (2022). STRATEGJIA E ARSIMIT 2022-2026. 16. ICT in Education and Training
Paper Teacher Judgement in the Age of Generative AI: Preschool Teachers’ Evaluation of AI-Generated Stories 1: Fırat University, Turkey (Türkiye); 2: Hacettepe University, Turkey (Türkiye); 3: Harran University, Turkey (Türkiye) Presenting Author:Storytelling is a core pedagogical practice in early childhood education because it supports young children’s language development, meaning making, and social and emotional learning. From a sociocultural perspective, learning is mediated through language and interaction, making the quality of adult-provided linguistic input developmentally consequential (Vygotsky, 1978). Narrative scholarship similarly positions stories as cultural tools through which children organise experience, interpret emotions, and make sense of social relationships (Bruner, 1990; Nicolopoulou, 2014). In early childhood contexts, story quality is therefore judged through developmentally sensitive criteria such as age appropriateness, linguistic accessibility, narrative fluency and coherence, and emotional safety rather than textual correctness alone (Isbell et al., 2004; Sipe, 2008). Against this theoretical backdrop, generative artificial intelligence has introduced a new route for producing children’s stories quickly, yet education research on large language models emphasises that outputs can be uneven in quality and may include pedagogically misaligned or inappropriate content, which makes educators’ professional judgement central to responsible use (Kasneci et al., 2023). A child rights and safety lens further strengthens this argument by underscoring that AI-related practices involving children should prioritise wellbeing, protection, and accountability, particularly in the early years (UNICEF, 2021, 2025). Emerging early childhood research has begun to document teachers’ perspectives on using tools such as ChatGPT, including qualitative evidence from Türkiye that highlights perceived usefulness alongside strong emphasis on teacher oversight (Uğraş, 2024), as well as international studies examining early childhood teachers’ perceptions of AI in early childhood education (Lee et al., 2025). Complementary work has explored motivational factors shaping preschool teachers’ AI use, indicating that perceived value coexists with perceived costs and risks (Bozer Özsaraç & Ergin, 2025). In addition, literacy-oriented research has started to examine how children and caregivers engage with AI-generated digital storybooks during shared reading, signalling that perceived quality and authorship are becoming practically relevant in widely distributed, multilingual digital environments (Ratner et al., 2025). Although these studies provide important foundations, there remains limited empirical research that examines preschool teachers’ evaluations of AI-generated children’s stories at the text level under comparable conditions, especially in designs that compare multiple AI tools alongside a human-authored reference story. This gap is particularly salient in European and international early childhood settings because AI tools and their outputs circulate transnationally, while judgments about developmental appropriateness, narrative coherence, and emotional safety are enacted locally within culturally and linguistically diverse classrooms. The proposed study therefore conceptualises teachers’ evaluations as a professional quality assurance mechanism through which transnational AI narratives are assessed against early childhood pedagogical expectations and child-centred safeguards.
Research Question How do preschool teachers evaluate children’s stories created using various artificial intelligence tools from a pedagogical perspective? This main research question is addressed through the following sub-questions:
Methodology, Methods, Research Instruments or Sources Used Research design This study adopts a qualitative, exploratory interview design to examine how preschool teachers pedagogically evaluate children’s stories generated by multiple generative AI tools (ChatGPT, Gemini, Claude, Grok). A qualitative exploratory approach is suitable for developing an in-depth understanding of participants’ interpretations in an under-researched area. Participants Participants will be preschool teachers recruited through purposive sampling to ensure variation in teaching experience and institutional context (for example, public and private settings). Data collection will begin with interviews with 10 teachers and will continue until data saturation is reached, that is, until additional interviews no longer yield substantively new insights related to the research questions. Materials and data collection Story stimuli will be produced in two conditions. In the baseline condition, each AI tool will generate a short children’s story under standardised constraints (same topic, target age, and approximate length) using the same core prompt. In the second condition, each tool will generate a story using a literature-informed prompting procedure. Here, prompts will be enriched with criteria derived from academic work on children’s literature and early years storytelling (for example, age-appropriate language, clear narrative structure, emotionally safe content) and brief exemplar features. These are not “trained models” in a technical sense; rather, the prompting is pedagogically structured using research-based criteria. Teachers will not be told which stories come from which condition or which tool. Stories from both conditions will be pooled and presented in a counterbalanced order, and the source information will be withheld. This allows the analysis to examine whether teachers spontaneously notice differences attributable to literature-informed prompting and how they explain such differences. Data will be generated through semi-structured individual interviews. An interview guide will be developed and refined through piloting to improve clarity and flow. Interviews will last approximately 30 to 45 minutes, will be audio recorded, and will be transcribed verbatim. Ethics The study will commence after approval from the Fırat University Ethics Committee. Participants will provide informed consent, be assured of anonymity, and be reminded of their right to withdraw at any time without giving a reason. Data analysis and trustworthiness Transcripts will be analysed using inductive qualitative content analysis. Coding will proceed from meaning units to codes, then to themes and higher-level categories through inductive category development. Credibility will be supported through analytic discussions within the research team and, where feasible, a brief member check via email on initial interpretations. Conclusions, Expected Outcomes or Findings This study is expected to clarify how preschool teachers evaluate children’s stories produced with generative AI tools and what this implies for responsible classroom use. First, the findings will likely identify the main criteria teachers rely on when judging AI-generated stories, such as perceived age appropriateness, language level, narrative fluency and coherence, emotional safety, and classroom usability. The study will also show how teachers justify these judgements, helping to specify what “quality” and “appropriateness” mean for AI-produced story materials in early childhood settings. Second, teachers are expected to report noticeable differences across AI tools, suggesting that story outputs are not pedagogically equivalent across models. These comparisons can inform practical decisions about when AI-generated stories might be suitable for classroom use and when stronger screening is needed. Third, the study is expected to describe whether and how teachers believe AI-generated stories can be distinguished from human-authored stories, including the cues teachers use to label texts as “human-like” or “artificial”. Finally, by mapping perceived benefits (for example, speed and convenience) against perceived risks (for example, emotionally inappropriate content or developmentally mismatched language), the study can inform guidance for teacher oversight and quality assurance in early childhood education. References Bruner, J. (1990). Acts of meaning. Harvard University Press. Bozer Özsaraç, E. N., & Ergin, E. (2025). What drives teachers’ use of AI in preschool education? A motivational perspective based on expectancy-value theory. 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In A. Nicolopoulou, C. Brockmeyer Cates, A. de Sá, & H. Ilgaz (Eds.), Children’s peer talk: Learning from each other (pp. 42–62). Cambridge University Press. https://doi.org/10.1017/CBO9781139084536.006 Ratner, S., Ong, C., Mathers, S., & Murphy, V. A. (2025). “Did a robot write that?” AI-generated digital storybooks. ELT Journal, 79(4), 595–607. https://doi.org/10.1093/elt/ccaf034 Sipe, L. R. (2008). Storytime: Young children’s literary understanding in the classroom. Teachers College Press. Uğraş, M. (2024). Okul öncesi eğitimde ChatGPT kullanımının değerlendirilmesi: Öğretmen perspektifleri. Eğitim ve İnsani Bilimler Dergisi: Teori ve Uygulama, 15(30), 387–414. https://doi.org/10.58689/eibd.1537337 UNICEF. (2021). Policy guidance on AI for children (Version 2.0). UNICEF Innocenti – Global Office of Research and Foresight. UNICEF. (2025). Guidance on AI and children (3rd ed.). UNICEF Innocenti – Global Office of Research and Foresight. Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press. | ||