[publication] Motivation and Self-Regulated Learning in Secondary Schools with Flipped Classrooms: A Systematic Literature Review #edmedia #research

Our publication about „Motivation and Self-Regulated Learning in Secondary Schools with Flipped Classrooms: A Systematic Literature Review“ for this year’s edmedia conference is out.

Abstract:
In recent years, flipped classroom (FC) models have gained traction as an innovative pedagogical approach that promotes active, student-centered learning environments. Although the effectiveness of the FC model has been widely studied in higher education and teacher training contexts, its impact on secondary school students, particularly with regard to motivation and self-regulated learning (SRL), remains understudied. This systematic literature review summarizes findings from 34 studies on FC implementations in secondary education, focusing specifically on strategies that enhance motivation and SRL outcomes. The review reveals that FC approaches can significantly enhance student motivation, particularly among low-achieving and low-confidence learners, by fostering active participation, self-efficacy, and engagement. However, challenges such as technical barriers, an increased workload, and initial resistance underscore the importance of careful design and teacher support. The findings highlight the critical role of teachers as facilitators, content creators, and motivators in successfully implementing FC in secondary schools.

[article @ publisher’s homepage]
[draft @ ResearchGate]

Reference: Urak, K., Brünner, B., Geier, G. & Ebner, M. (2026). Motivation and Self-Regulated Learning in Secondary Schools with Flipped Classrooms: A Systematic Literature Review. In Proceedings of EdMedia 2026 Edinburgh (pp. 1701-1711). Edinburgh, Scotland: Association for the Advancement of Computing in Education (AACE). Retrieved July 1, 2026 from https://www.learntechlib.org/primary/p/2129811/.

[publication] Whitepaper on Evaluating GenAI Innovation in Higher Education #tugraz #research #AIinEducation

Our publication, „Whitepaper on Evaluating GenAI Innovation in Higher Education,“ is included in the proceedings of the EDMedia 2026 conference.

Abstract:
Generative artificial intelligence (genAI) is increasingly shaping higher education by enabling new forms of content creation, assessment, learner support, personalization, and synthetic media. However, its value cannot be determined solely by technical performance, novelty, or efficiency. This paper presents an evaluation framework for quality genAI applications in higher education. This paper presents a practice-derived framework developed through a cross-case synthesis of nine diverse GenAI implementations at Graz University of Technology. Analyzing projects ranging from AI-generated content to RAG-based chatbots, we identified recurring decision points and risk patterns to formulate a five-phase, non-linear evaluation model. The framework guides institutions through specifying context, assessing feasibility, selecting implementation strategies, conducting multi-layered pilots, and performing data-informed analysis. A defining feature is the integration of explicit „Sustain-or-Discontinue“ decision gates at each stage, ensuring resources are committed only to viable applications while providing a structured pathway to terminate initiatives that fail to meet pedagogical or ethical standards. We argue that the core institutional capability lies not in rapid adoption, but in the discipline to evaluate responsibly, balancing experimentation with the rigor to govern and discontinue when necessary.

[publication @ conference’s homepage]
[preview @ ResearchGate]

Reference: Schön, S., Brünner, B., Ebner, M. & Leitner, P. (2026). Whitepaper on Evaluating GenAI Innovation in Higher Education. In Proceedings of EdMedia 2026 Edinburgh (pp. 697-703). Waynesville, NC: Association for the Advancement of Computing in Education (AACE). Retrieved June 15, 2026 from https://www.learntechlib.org/primary/p/2129693/.

This is an impactful contributions, methodological rigor, and exceptional novelty in the research field of AI in education.

[publication] The OER Paradox in Ukraine: Legal Comfort and Its Impact on Open Educational Practices #OER #research

Our publication about „The OER Paradox in Ukraine: Legal Comfort and Its Impact on Open Educational Practices“ is published in the conference proceedings of this year’s EDMedia conference.

Abstract:
This study analyses the impact of the new Law of Ukraine „On Copyright and Related Rights“ (2811-IX) on the use of educational materials in the context of digital transformation and military crisis. Using the benchmarking methodology „15 cases in 15 countries“ and qualitative interviews with teachers, the work compares Ukrainian norms with the practice of European countries. The results show that broad educational exceptions (in particular, Articles 22 and 24) create a situation of „legal comfort“ for the academic community, allowing the legal use of protected content in closed digital environments. However, this gives rise to the „OER paradox“: the absence of legal barriers to the use of proprietary resources reduces the motivation to create full-fledged open educational resources under open licenses. The paper highlights the need for institutional incentives to overcome dependence on closed content and integrate Ukraine into the global open education movement.

[publication @ conference’s homepage]
[preview @ ResearchGate]

Reference: Andriichenko, Y., Ebner, M., Schön, S. & Brünner, B. (2026). The OER Paradox in Ukraine: Legal Comfort and Its Impact on Open Educational Practices. In Proceedings of EdMedia 2026 Edinburgh (pp. 1589-1599). Waynesville, NC: Association for the Advancement of Computing in Education (AACE). Retrieved June 15, 2026 from https://www.learntechlib.org/primary/p/2129797/.

This is an impactful contributions, methodological rigor, and exceptional novelty in the research field of Open Educational Resources (OER).

[poster] A Whitepaper on Evaluating GenAI Innovation in Higher Education #edmedia26

This year, we present a poster about „A Whitepaper on Evaluating GenAI Innovation in Higher Education“ at EDMedia 2026.

Generative artificial intelligence (genAI) is increasingly shaping higher education by enabling new forms of content creation, assessment, learner support, personalization, and synthetic media. A whitepaper now presents a practice-derived framework developed through a cross-case synthesis of nine diverse GenAI implementations at Graz University of Technology. Analyzing projects ranging from AI-generated content to RAG-based chatbots, recurring decision points and risk patterns were identified to formulate a five-phase, non-linear evaluation model.

[Link to the poster]
[Link to ResearchGate]

This is an impactful contributions, methodological rigor, and exceptional novelty in the research field of AI in education.

[presentation] Impact of AI on teaching strategy #tugraz

Today I give a short presentation about „Impact of AI on teaching strategy“ at TAM CONFERENCE on “ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION” in Kazakhstan. I will introduce the LISA Framework and provide examples from Graz University of Technology.

[Link to the slides @ Repository TU Graz]

This is an impactful contributions, methodological rigor, and exceptional novelty in the research field of AI in education. It explains a powerful framwork, named LISA framework to categorize AI teaching and learning activities.

[publication] Forecasting Education Metrics through Joint Futures Betting – A Study with Austria’s Emerging Scholars #tugraz #research

Our publication about „Forecasting Education Metrics through Joint Futures Betting – A Study with Austria’s Emerging Scholars“ got published in the conference proceedings of the SITE 2026 conference.

Abstract:
Education systems increasingly rely on indicators to guide policy and practice. However, the underlying assumptions of these indicators are rarely discussed collectively. This short article reports on a future-oriented, game-based „future bet“ conducted as part of the „Educational Innovation Needs Educational Research“ (B3) initiative at the eduNexus.at retreat in Austria. Doctoral students, supervisors, and experts placed tokens on measurable hypotheses. We focus on five hypotheses from these funded doctoral programs closely linked to technology policy and practice: teacher training in computer science and digital education; open education resource certificate holders; the school dropout rate; and the number of schools with a STEM quality label.

[draft @ ResearchGate]

Reference: Brünner, B., Geier, G., Schön, S. & Ebner, M. (2026). Forecasting Education Metrics through Joint Futures Betting – A Study with Austria’s Emerging Scholars. In Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 1514-1519). Philadelphia, PA: Association for the Advancement of Computing in Education (AACE). Published at https://www.learntechlib.org/primary/p/2129172/

[presentation] Developing and Testing a Peer-Review Process for Content Quality Assurance in MOOCs: A Case Study on an E-Assessment Course #tugraz #research

At this year’s ICL conference in Budapest, one of our presentations was about „Developing and Testing a Peer-Review Process for Content Quality Assurance in MOOCs: A Case Study on an E-Assessment Course

This contribution presents the development and testing of a peer-review process for content quality assurance in MOOCs, implemented in the course “E-Assessment – auf Kurs gebracht”. The process was evaluated regarding complexity, duration, collaboration with external reviewers, and learners’ perception. Results show that the procedure can be smoothly integrated into MOOC development. Reviewers contributed beyond expectations by providing materials, didactic advice, and legal-ethical reflections. Learners rated the videos (very) positively (92.7% positive ratings, 100 participants, n=812 answers), especially for structure and coherence. Slightly lower ratings for ‚visual appearance‘ and ‚use of supportive linguistic elements‘ can be explained by the course’s retro video de-sign and the viewers’ understanding of how linguistic devices can be effectively used in educational videos. The study confirms peer review as a feasible and effective quality as-surance approach that supports both collaboration and content improvement.

Find the slides in TU Graz repository.

[publication] aicast: Combining AI-Generated and Instructor-Defined Content in Educational Podcasts #research #tugraz

At this year’s ED-Media conference, we introduced a new AI-based concept for educational podcasts: „aicast: Combining AI-Generated and Instructor-Defined Content in Educational Podcasts„.

Abstract:
Generative AI is transforming educational content. In this poster, we present aicast.fyi, an open-source platform for producing personalized educational podcasts that combine AI-generated and instructor-defined content. Each track contains dynamic and fixed segments. Instructors define guiding questions during track design, ensuring alignment with learning objectives. This hybrid approach addresses concerns about maintaining instructional integrity with automation and personalization. The poster provides an architectural overview and demonstrates how the system integrates text generation and voice synthesis to produce audio-based learning experiences. Instructional designers must play an active role in shaping AI-assisted educational tools. This poster invites educators, designers, and researchers to engage with aicast and collaborate on developing high-quality, responsible, and learner-centered audio content. By allowing learners to control content sequences and personalize segments based on their own inputs, aicast.fyi also supports self-regulated learning (SRL), empowering users to take ownership of their educational journey.

[draft @ ResearchGate]
[full article @ conference website]

Reference: Brünner, B., Leitner, P., Geier, G. & Ebner, M. (2025). aicast: Combining AI-Generated and Instructor-Defined Content in Educational Podcasts. In T. Bastiaens (Ed.), Proceedings of EdMedia + Innovate Learning (pp. 148-152). Barcelona, Spain: Association for the Advancement of Computing in Education (AACE). Retrieved June 4, 2025 from https://www.learntechlib.org/primary/p/226139/