Conference Agenda
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06 SES 05 B: Digital Transformation, Policy, and Institutional Change
Paper Session | ||
| Presentations | ||
06. Open Learning: Media, Environments and Cultures
Paper Innovative Learning Environments and Digital Transformation: A CFIR-Informed Protocol for Future Classroom Implementation Research Universidad de Extremadura, Spain Presenting Author:This paper presents the research design and early stage of project IB24159 (co-funded by the EU, the Regional Government of Extremadura, and the Government of Spain.), which examines the implementation and evolution of the «Future Classroom» programme in schools in Extremadura (Spain) as a strategy for digital transformation combining redesigned learning spaces, educational technologies and active pedagogies. The regional programme (AdFE) is embedded in the InnovaTed plan and is explicitly connected to European initiatives such as Future Classroom Lab (European Schoolnet), positioning the Extremadura case within an international agenda on innovative learning environments and school modernisation. By 2024, Extremadura reports 81 Future Classrooms across primary, secondary and teacher support centres (CPR), in an expansion process linked to infrastructure, digital equipment and professional development for teachers. The project makes two contributions. First, it shifts the analytical focus from «does it work?» to «how is it implemented?», addressing a central challenge in innovative learning environments: spatial redesign does not automatically produce pedagogical change. Second, it aims to generate transferable evidence to inform educational policy and practice on scaling digital transformation with attention to quality and equity, an agenda shared across European education systems. The study is grounded in implementation science and uses the Consolidated Framework for Implementation Research (CFIR) as its main theoretical, methodological framework. CFIR, still emerging in educational research, is applied here to identify barriers and facilitators, as well as issues of fidelity, adaptation and sustainability when implementing a complex innovation. The programme is conceptualised as an Evidence-Based Innovation (EBI) that may show promise in controlled or pilot conditions but requires contextual adaptation for real-world scaling in schools. The research questions are: (1) How does the programme evolve across phases 2 and 3 of implementation and consolidation, and how does it interact with schools’ curricular design and organisational arrangements? (2) Which CFIR factors (intervention characteristics; inner/outer setting; individual characteristics; implementation process) explain adoption trajectories, fidelity and local adaptations? (3) What teaching practice models emerge in Future Classrooms, and how are they connected to the development of key competences and to teachers’ perceptions of learning space transformation? For ECER 2026, we will report the research protocol and preliminary outputs from the diagnostic phase (document analysis and initial stakeholder interviews), laying the groundwork for a longitudinal implementation study and for internationally comparable indicators that can support cross-case comparisons and knowledge exchange with similar European «future classroom» initiatives. Methodology, Methods, Research Instruments or Sources Used The project follows a mixed-methods approach (quantitative and qualitative) guided by CFIR, integrating evidence about both implementation processes and teachers’ practices/perceptions. Main data sources and instruments: (1) Document review and analysis: regional policy and normative documents, programme evaluation reports, teacher training materials, and schools’ curricular/organisational documents. (2) Analysis will use thematic content analysis, open/axial coding and CFIR-linked synthesis matrices. Semi-structured interviews with key stakeholders: regional education authorities, school leadership teams and involved teachers. Interview guides are structured around the five CFIR domains to capture inner/outer setting factors, organisational support, resources, leadership, attitudes and adaptation dynamics. Interviews will be recorded and transcribed (including assisted transcription tools where appropriate), under ethical protocols and informed consent; qualitative analysis will be supported by software such as NVivo/Atlas.ti/Iramuteq. (3) Quantitative components: surveys and evaluation tools to characterise patterns of space/technology use and variables related to organisational arrangements, curricular design and competence development; teacher ratings of the school physical environment (safety, accessibility, culture/community, ICT, sustainability, functionality and comfort) and perceived barriers/expectations will also be collected. (4) Analysis and integration: quantitative data will be analysed through descriptive and inferential statistics; qualitative data through thematic analysis and coding linked to CFIR constructs. Findings will be integrated through triangulation to identify consistent barriers/facilitators and generate robust explanatory hypotheses for longitudinal follow-up. Conclusions, Expected Outcomes or Findings As the project is at an early stage, the ECER 2026 submission will prioritise the research design and early outputs from the diagnostic phase. Three expected outcomes are highlighted: (a) Implementation profiles and typologies (CFIR): identification of barriers and facilitators across CFIR domains (intervention characteristics; inner/outer setting; individual characteristics; implementation process), including leadership and organisational culture, resources and support, curricular coherence, teacher training and attitudes, and planning/evaluation dynamics. This will help specify conditions for fidelity, adaptation and sustainability across primary and secondary schools. (b) Mapping teaching practices and competences: a typology of teaching practices and methodologies enacted in Future Classrooms and their links to key competence development, providing evidence about alignment (or tensions) between space, technology, organisational arrangements and pedagogy. (c) Knowledge mobilisation and European relevance: evidence-informed recommendations and practical guides for schools and policymakers (design/use criteria for learning spaces, implementation conditions, monitoring indicators) and an initial CFIR-aligned indicator set to enable comparisons with other European initiatives and support interregional/international collaboration. References Alansari, M., & Li, M. (2024). Secondary Teachers’ Working Experiences in Innovative Learning Environments: Enablers and Influences. New Zealand Journal of Educational Studies, 59(1), 303-319. https://doi.org/10.1007/s40841-023-00306-2 Arstorp, A.-T. (2022). Student assistants in Future Classroom Labs moving between figured worlds and becoming a resource for developing professional digital competence in teacher education. Nordic Journal of Digital Literacy, 17(2), 123-134. https://doi.org/10.18261/njdl.17.2.4 Charteris, J., Page, A., & Oluk, S. (2025). Principals’ perspectives on socio-spatial affordances for classroom management in flexible learning spaces. Learning Environments Research, 29(1), 5. https://doi.org/10.1007/s10984-025-09565-w Damschroder, L. J., Reardon, C. M., Widerquist, M. A. O., & Lowery, J. (2022). The updated Consolidated Framework for Implementation Research based on user feedback. Implementation Science, 17(1), 75. https://doi.org/10.1186/s13012-022-01245-0 Damschroder, L. J., Reardon, C. M., Opra Widerquist, M. A., & Lowery, J. (2022). Conceptualizing outcomes for use with the Consolidated Framework for Implementation Research (CFIR): The CFIR Outcomes Addendum. Implementation Science, 17(1), 7. https://doi.org/10.1186/s13012-021-01181-5 Fletcher, J. F., Everatt, J., Chang, G., & Subramaniam, Y. (2025). Teacher collaboration and innovative learning spaces in New Zealand. Teachers and Teaching, 31(2), 297-312. https://doi.org/10.1080/13540602.2024.2401062 Gomez-Garcia, M., Alameda Villarrubia, A., Poyatos Dorado, C., & Ortega-Rodriguez, P. J. (2022). Future Classroom Lab: A project for the pedagogical redefinition of educational centers. Revista Interuniversitaria De Formacion Del Profesorado-Rifop, 97, 133-152. https://doi.org/10.47553/rifop.v98i36.2.94188 Granda-Pinan, A. R., Taberner-Perales, E., Tarin-Moreno, S., & Ferrer-Lores, S. (2025). Schools being transformed: Quantitative study about Innovative Learning Environments. Revista Interuniversitaria De Formacion Del Profesorado-Rifop, 39(3), 115-132. https://doi.org/10.47553/rifop.v39i3.110134 Imms, W., & Kvan, T. (Eds.). (2021). Teacher Transition into Innovative Learning Environments: A Global Perspective. Springer Nature Singapore. https://doi.org/10.1007/978-981-15-7497-9 Lozano, O. R., Granda-Pinan, A. R., & Alameda-Villarrubia, A. (2024). Training on Innovative Learning Environments: Identifying Teachers’ Interests. Education Sciences, 14(6), 601. https://doi.org/10.3390/educsci14060601 OECD (Ed.). (2017). The OECD handbook for innovative learning environments. OECD Publishing. Saari, A., & Decuypere, M. (2024). Governing by prototype and proto-practice: Topological configurations of future classroom labs. Journal of Education Policy, 39(5), 683-701. https://doi.org/10.1080/02680939.2024.2304567 Sasson, I., Yehuda, I., & Miedijensky, S. (2022). Innovative learning spaces: Class management and universal design for learning. Learning Environments Research, 25(3), 725-739. https://doi.org/10.1007/s10984-021-09393-8 Van Assche, F., Anido, L., Griffiths, D., Lewin, C., & McNicol, S. (Eds.). (2015). Re-engineering the Uptake of ICT in Schools. Springer International Publishing. https://doi.org/10.1007/978-3-319-19366-3 06. Open Learning: Media, Environments and Cultures
Paper Sociotechnical Imaginaries of Digitalization Policies in the Spanish Education System. Analysis from Three Regions of Spain Universidade de Vigo, Spain Presenting Author:The contemporary context, known as surveillance capitalism (Zuboff, 2019) or the platform society (Van Dijk et al., 2018) is characterized by being highly mediated and permeated by technology. There is no sphere of life that is not, in part, digital (Pancrazio & Sefton-Green, 2021), and this also affects children from early childhood. Digital technologies offer new forms and modes of participation, but they constitute also new forms of surveillance, discipline and control. Platforms, their architecture and their logic, affect and cause problems to contemporary democracies (Dussel & Williams, 2023; Van Dijk et al., 2018), weakening democratic institutions, such as the public school, that are especially important for looking after minors, and have to tackle digital vigilance, data colonialism or issues related to misinformation and fake news (Salcedo et al., 2025). In this scenario, dominated by platforms and algorithms, it is crucial to prepare and instruct a critical digital citizenry. As Pancrazio and Sefton-Green (2021) state, it is of great importance to prepare people so that they can develop their full potential and express themselves in the world that they live in, far from the neoliberal logic of preparing them for the labor market. This type of logic, the economic logic, is strongly present in the sociotechnical imaginary, as there is a direct link between digital technologies and economic growth, productivity or employability (Dussel & Williams, 2023). These are conceived as key to the progress of economy, as highlighted by this investigation (Castañeda & Williamson, 2021; Jandric et al., 2024). Given this reality, to exercise digital citizenry, which refers to the right to participate in the digital society (Pancrazio & Sefton-Green, 2021), it is essential to possess the necessary knowledge to participate in a critical, informed, responsible, ethic and complete way in a world mediated by technology, addressing the digital divides: material access, instrumental skills, opportunity for use and participation. This situates digital competence as fundamental knowledge in contemporary society. National and international governments have not been unaware of this priority and in recent decades educational policies that address the integration of digital technologies and media in schools have multiplied, as well as those that incorporate learning related to them. In this regard, in the European context, the DigComp Project, currently in its 2.2 version (Vuorikari et al., 2022), has emerged as a common competency framework for the development of citizen’s digital competence. In Spain, the Organic Law 3/2020, of 29 December, which amends Organic Law 2/2006, of 3 May, on Education (LOMLOE, 2020) also addresses the need for a digital competence so that children and young people can develop and participate in a reflective, ethical and with critical sense way in the digital world in which we currently live. In recent years, following the coming into effect of the LOMLOE (2020), multiple educational policies that address the digitalization of schools have proliferated in Spain. These policies highlight digital competence for critical citizenry in a world facing major technological challenges. As part of a broader project, CiDiC_EI [Project PID2023-148530NA-I00, funded by MICIU/AEI/10.13039/501100011033 and FEDER, EU], which seeks to identify and analyze best educational practices that help form a critical digital citizenry from early childhood, this study, in accordance with one of the project’s landmarks that seeks to map ICT educational policies for students in early childhood education and based on a previous work by Dussel and Williams (2023), seeks to identify and analyze the sociotechnical imaginaries (Jasanoff & Kim, 2015, in Dussel & Williams, 2023, p. 43) in the educational policies of three regions of Spain: Galicia (northwest), Madrid (center) and Murcia (southeast). Methodology, Methods, Research Instruments or Sources Used To answer the proposed objective, an analysis of content (Bardin, 2002) of the legal texts referring to the digitalization of schools in the three selected regions of Spain is carried out. To do this, a critical reading of the selected policies is conducted, as well as a discourse analysis through the graphic representation of networks that visualize the texts through nodes and relations, for which we use the web-based free open-source InfraNodus (Paranyushkin, 2019). This choice is made in line with the logic of the project, where we have identified ethics as one of the key central concepts of digital critical citizenry. InfraNodus enables network analysis using texts or discourses, highlighting potential ideas, main themes and relations between terms (co-occurrences) through an algorithm that identifies the terms with the highest influence. The research questions for the present study are: • What are the educational priorities that define the digitalization policies of schools in the three regions of Spain selected for this study? • Which educational issues are left out from the schools’ digitalization policies? The data corpus analyzed responds to current educational policies (2025-2026 academic year) linked to the integration of digital technologies in schools, focusing on the early childhood education stage. 13 policies or programs that meet the indicated criteria have been found. By region, these are distributed as follows: Galicia (7), Madrid (4) and Murcia (2). After selection, the main topics of the legal texts and the relationships between them were investigated. With the support of the qualitative analysis software Atlas.ti 25, 14 categories were identified, which emerged from the analysis of the legal texts in an inductive coding process (Strauss & Corbin, 2002). The analysis carried out is supported by the graphs extracted from the InfraNodus software where the main ideas that contribute to identifying the sociotechnical imaginaries privileged in the analyzed policies. Conclusions, Expected Outcomes or Findings The analysis of the sociotechnical imaginaries from the 13 legal texts analyzed has revealed the existence of two distinct orientations: 1) Digital educational policies with an economicist perspective, focused on the technological imperative: these conceive technology - devices and knowledge- as key to economic development and immersion in the labor market. These programs or initiatives focus on providing equipment and resources to schools, regardless of their context or characteristics. Additionally, the selection of devices comes directly from the administration, arriving by default at each school. Some of these programs establish a direct relation between the integration of technology in schools and the improvement of the teaching-learning process, falling into technological solutionism, where technology is key to solving the problems of the education system and society in general. 2) School digitalization policies based on an educational and social perspective, that understand technology as a social practice (Selwyn & Facer, 2013), searching for the development of students’ potential to contribute to their training as active citizens in the digital society. These programs and initiatives focus on the development and expression of students, as all of them impose the completion of formative activities and provide funding for student training during school hours, supporting inclusion and social justice. There is also an ethical reflection on the generation of open knowledge. The analysis carried out shows that most of the programs and initiatives that regulate knowledge and the integration of digital technologies in schools share the neoliberal argument oriented towards economic development and employability. However, some policies address issues that enable schools to tackle the challenges faced by contemporary societies, such as fake news or misinformation in media. These policies privilege citizenry over technology, with pedagogical reflection and implications for a broad concept of digital competence, favoring the development of critical educational practices in schools. References Bardin, L. (2002). Análisis de contenido. Ediciones Akal. Castañeda, L. & Williamson, B. (2021). Assembling New Toolboxes of Methods and Theories for Innovative Critical Research on Educational Technology. Journal of new approaches in Educational Research, 10(1), 1-14. https://doi.org/10.7821/naer.2021.1.703 Dussel, I. & Williams, F. (2023). Los imaginarios sociotécnicos de la política educativa digital en México (2012-2022). Profesordo. Revista de Curriculum y Formación de Profesorado, 27(1), 39-60. https://doi.org/10.30827/profesorado.v27i1.26247 Jandric, P., Peters, M.A., Besley, T., Green, B.J. & Kamenarac, O. (2024). Postdigital Educational Geopolitics. Postdigital Science and Education, 6, 1017-1031. https://doi.org/10.1007/s42438-024-00472-6 LOMLOE, Organic Law 3/2020, of 29 December, which amends Organic Law 2/2006, of 3 May, on Education. BOE n. 340, 2020/12/30. https://www.boe.es/eli/es/lo/2020/12/29/3/con Pancracio, L. & Sefton-Green, J. (2021). Digital Rights, Digital Citizenship and Digital Literacy: What’s the Difference? Journal of new approaches in Educational Research, 10(1), 15-27. https://doi.org/10.7821/naer.2021.1.616 Paranyushkin, D (2019). InfraNodus: Generating Insight Using Text Network Analysis, Proceedings of WWW'19 The Web Conference, www.infranodus.com (ACM library, PDF). Salcedo, M., Fernández-Rodríguez, E. & Pradena, Y. (2025). Algortihmic technopolitics and cosmo-diversity: a case study of digital governance and socio-technical imaginaries in Education. Revista Español de Educación Comparada, 48, 331-353. Selwyn, N., & Facer, K. (Eds.). (2013). The Politics of Education and Technology. Conflicts, Controversies, and Connections. New York: Palgrave Macmillan. Strauss, A. & Corbin. J. (2002). Basics of qualitative research. Techniques and procedures for developing grounded theory. University of Antioquia. van Dijck, J., Poell, T. & de Waal, M. (2018). The Platform Society. Oxford University Press. Vuorikari, R., Kluzer, S. & Punie, Y. (2022). DigComp 2.2: The Digital Competence Framework for Citizens - With new examples of knowledge, skills and attitudes, EUR 31006 EN, Publications Office of the European Union, Luxembourg, 2022, ISBN 978-92-76-48883-5, doi:10.2760/490274, JRC128415. Zuboff, S. (2019). The Age for Surveillance Capitalism. The Fight for a Human Future at the New Frontier of Power. Profile Books. 06. Open Learning: Media, Environments and Cultures
Paper Educational Space in International AI Literacy Frameworks for Teachers: Conceptual Framings of Generative AI, Agency, and Responsibility 1: Humboldt-Universität zu Berlin, Germany; 2: Universität Potsdam; 3: Umeå University Presenting Author:Digital technologies profoundly shape everyday life and function as structuring elements of social, cultural, and educational realities. In postdigital conditions, digital technologies are no longer experienced as an “addition” to otherwise analogue practices; rather, their absence becomes the exception (Knox, 2019). Educational space, in this sense, cannot be reduced to physical settings such as classrooms but emerges as a relational configuration. It emerges as a sociomaterial arrangement constituted through institutional conditions, pedagogical practices, and technological infrastructures. Generative artificial intelligence (AI) intensifies these dynamics: it does not merely provide new tools and opportunities for teaching and learning, but intervenes in the conditions of education through epistemic transformations of knowledge production, validation, and circulation in school contexts. Methodology, Methods, Research Instruments or Sources Used The paper pursues three objectives: (1) to identify which actors and relations are made visible in the frameworks and how educational space is constructed through these relations; (2) to examine which practices are framed as “competent” and which alternative framings of teaching and educational space are thereby excluded; and (3) to analyse how agency and responsibility are distributed between humans and machine systems, particularly with regard to epistemic authority and accountability. The European and international dimension is central to the contribution, as AI literacy frameworks increasingly circulate transnationally and shape policy and teacher education agendas across educational systems. The paper applies qualitative content analysis to examine and compare three international AI literacy frameworks for teachers: the European DigCompEdu AI extension (Bekiaridis & Attwell, 2024), the UNESCO AI Competency Framework for Teachers (Cukurova & Miao, 2024), and the OECD AI literacy framework for primary and secondary education (OECD, 2025). These documents were selected because they constitute influential reference points at European and international levels and increasingly inform teacher education, policy-making, and the governance of educational space across contexts. The qualitative content analysis systematically maps how these frameworks conceptualise generative AI in relation to schooling and teaching. The analysis focuses on the conceptual emphases and normative assumptions embedded in the competency descriptions, with particular attention to educational space as a changing condition of education. Following Kuckartz’s (2014) a seven-stage coding approach, we examine: (a) which actors and relations are foregrounded (e.g., teachers, students, AI systems, institutional contexts), (b) which practices are framed as “competent” and which alternatives are implicitly excluded, (c) which didactic orientations are reflected in the models, (d) how agency and responsibility between humans and machines are conceptualised, and (e) which epistemic and infrastructural dimensions are addressed, such as knowledge production, validation, and the visibility/invisibility of content. Findings are developed through systematic comparison across the three frameworks to identify shared patterns as well as divergences in how AI literacy is framed internationally. Conclusions, Expected Outcomes or Findings The analysis suggests that the three frameworks strongly connect AI literacy to established competency approaches for schooling and teaching and provide extensive guidance on technological and didactic dimensions, including e.g., knowledge about AI systems, instructional applications, and practical integration into classroom settings. In this way, the frameworks position teachers as key actors in making generative AI usable in educational space. At the same time, the comparative findings indicate that deeper epistemic and infrastructural transformations of educational space are less comprehensively addressed than technological or instructional aspects. While ethical considerations are referenced, the frameworks often remain limited in supporting critical engagement with generative AI as an epistemic technology that shapes knowledge production, credibility, and the (in)visibility of content (Alvarado, 2023; Eynon, 2024; Velander et al., 2026). As Selwyn (2024) demonstrates, educational AI applications face fundamental limitations in representing and modelling complex educational processes, raising questions about whether these technologies can adequately capture the social realities of teaching and learning. Similarly, the distribution of epistemic agency and responsibility across human–machine configurations is frequently under-specified, despite its relevance for assessment practices, pedagogical accountability, and democratic participation in post-digital educational space. The paper argues that a key challenge for schools and teacher education is therefore not only to foster operational AI skills, but also to strengthen reflexive competencies for critically analysing algorithmic systems, epistemic shifts, and normative implications in education (Coeckelbergh, 2025; Velander et al., 2026). For ECER Network 06, the contribution provides an internationally comparative perspective on how AI literacy frameworks shape educational space in response to social transformations, and it offers implications for developing models that go beyond instrumental approaches by foregrounding epistemic responsibility, socio-technical infrastructures, and the changing conditions of education. References Alvarado, R. (2023). AI as an epistemic technology. Science and Engineering Ethics, 29, Article 32. https://doi.org/10.1007/s11948-023-00451-3 Bekiaridis, G. & Attwell, G. (2024). Supplement to the DigCompEDU framework: Outlining the skills and competences of educators related to AI in education. AI Pioneers. https://aipioneers.org/wp-content/uploads/2024/01/WP3_Supplement_to_the_DigCompEDU_English.pdf Bhabha, H. K. (1994). The location of culture. Routledge. Coeckelbergh, M. (2025). AI and epistemic agency: How AI influences belief revision and its normative implications. Social Epistemology, 1–13. https://doi.org/10.1080/02691728.2025.2466164 Cukurova, M., & Miao, F. (2024). AI competency framework for teachers. UNESCO Publishing. https://unesdoc.unesco.org/ark:/48223/pf0000391104 Eynon, R. (2024). Algorithmic bias and discrimination through digitalisation in education: A socio-technical view. In B. Williamson, J. Komljenovic, & K. Gulson (Eds.), World yearbook of education 2024: Digitalisation of education (pp. 236–249). Routledge. https://doi.org/10.4324/9781003359722 Fenwick, T., & Landri, P. (2012). Materialities, textures and pedagogies: Socio-material assemblages in education. Pedagogy, Culture & Society, 20(1), 1–7. https://doi.org/10.1080/14681366.2012.649421 Knox, J. (2019). What does the “postdigital” mean for education? Three critical perspectives on the digital. Postdigital Science and Education, 1, 357–370. https://doi.org/10.1007/s42438-019-00045-y Kuckartz, U. (2014). Qualitative text analysis: A guide to methods, practice & using software. SAGE Publications Ltd. https://doi.org/10.4135/9781446288719 Linderoth, C., Hultén, M., & Stenliden, L. (2024). Competing visions of artificial intelligence in education—A heuristic analysis on sociotechnical imaginaries and problematizations in policy guidelines. Policy Futures in Education, 22(8), 1662–1678. https://doi.org/10.1177/14782103241228900 Mishra, P., Warr, M., & Islam, R. (2023). TPACK in the age of ChatGPT and generative AI. Journal of Digital Learning in Teacher Education, 39(4), 235–251. https://doi.org/10.1080/21532974.2023.2233054 OECD. (2025). Empowering learners for the age of AI: An AI literacy framework for primary and secondary education (Review draft). OECD Publishing. https://ailiteracyframework.org Selwyn, N. (2024). On the limits of artificial intelligence (AI) in education. Nordisk tidsskrift for pedagogikk og kritikk, 10, 3–14. http://doi.org/10.23865/ntpk.v10.6062 Ständige Wissenschaftliche Kommission der Kultusministerkonferenz (SWK) (2023): Large Language Models und ihre Potenziale im Bildungssystem. Impulspapier der Ständigen Wissenschaftlichen Kommission (SWK) der Kultusministerkonferenz. Velander, J., Örtegren, A., & Sperling, K. (2026.). Introducing AI education in school contexts: A 3D-literacy analysis of the Swedish AI subject. Technology, Pedagogy and Education. https://doi.org/10.1080/1475939X.2026.261945 | ||