Kategorie: TUG

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[mooc] Woche 5 im MOOC zu „Digitale Kompetenzen für Studienanfänger:innen“ #imoox #digiskill25

Die Woche 5 und damit auch letzte Woche im MOOC zu „Digitale Kompetenzen für Studienanfänger:innen“ liegt vor uns. Diese Woche geht es abschließend bei unserem Digistammtisch um Problemlösen und Weiterlernen. Viel Spaß mit den Inhalten der letzten Woche und wir hoffen euch wieder bei einem andern MOOC begrüßen zu dürfen:

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[Kostenlose Anmeldeseite MOOC „Digitale Kompetenzen für Studienanfänger:innen„]

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[publication] Empowering Self-Regulated Learning Through Technology and the Teacher’s Role – A Systematic Literature Review #research

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

Our research work titled „Empowering Self-Regulated Learning Through Technology and the Teacher’s Role – A Systematic Literature Review“ is published.

Abstract:
Self-regulated learning (SRL) has been demonstrated in numerous scientific studies as an effective alternative to traditional teaching methods, fostering individual learning processes. The added value of educational technology in supporting SRL has also been widely researched and largely validated. Within this context, the teacher plays a pivotal role. However, much of the existing research has been conducted at universities , while the secondary education level has received comparatively less attention. To gain an overview of the teacher’s influence on students‘ SRL processes, a PRISMA based systematic literature review was conducted. From an initial pool of 553 documents, 27 relevant studies were identified and analyzed. The selected studies were examined to collect data addressing the research questions, focusing on identifying effective teaching methods and essential teacher competencies for fostering SRL in technology-enhanced classrooms. Furthermore, the analysis highlights the evolving role of teachers and underscores the need for additional training to support these changes.

[full article @ publisher’s website]
[draft @ researchgate]

Reference: Geier, G., Ebner, M., Burgsteiner, H. (2025). Empowering Self-Regulated Learning Through Technology and the Teacher’s Role – A Systematic Literature Review. In: Smith, B.K., Borge, M. (eds) Learning and Collaboration Technologies. HCII 2025. Lecture Notes in Computer Science, vol 15807. Springer, Cham. https://doi.org/10.1007/978-3-031-93567-1_5

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[publication] Synthetic Educators: Analyzing AI-Driven Avatars in Digital Learning Environments #AIinEducation #tugraz

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

Our publication „Synthetic Educators: Analyzing AI-Driven Avatars in Digital Learning Environments“ at this year’s HCII conference is published.

Abstract:
Videos can be used in a variety of ways in learning environments today. With advances in generative AI technologies, tools such as HeyGen and ElevenLabs make it easy to create synthetic teachers, promising efficiency and accessibility. This study investigates the impact of AI-generated teaching video avatars on learners‘ emotional responses. A mixed-method approach was adopted, in which 55 participants were shown AI-generated videos and videos with real instructors. Emotional engagement was measured using FaceReader Online, along with quiz questions and follow-up interviews to gauge knowledge retention and perceptions of this educational technology. Results indicate that AI avatars effectively convey content and weakly elicit better recall rates and positive emotional responses comparable to those of real instructors. However, concerns were raised about emotional authenticity and engagement, highlighting the need for improved avatar design. The study concludes with a discussion of the potential and limitations of AI avatars and argues for their thoughtful integration to improve educational equity and learning outcomes.

[full article @ publisher’s homepage]
[draft @ researchgate]

Reference: Struger, P., Brünner, B., Ebner, M. (2025). Synthetic Educators: Analyzing AI-Driven Avatars in Digital Learning Environments. In: Smith, B.K., Borge, M. (eds) Learning and Collaboration Technologies. HCII 2025. Lecture Notes in Computer Science, vol 15807. Springer, Cham. https://doi.org/10.1007/978-3-031-93567-1_13

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[publication] InfoFit and Beyond: AI Chatbots as EdTech Tools for Self-Regulated Learning in MOOCs #AIinEducation #research

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

Our publication titled „InfoFit and Beyond: AI Chatbots as EdTech Tools for Self-Regulated Learning in MOOCs“ at this year’s HCII conference is available.

Abstract:
Massive Open Online Courses (MOOCs) have become essential for the democratization of education by providing accessible learning opportunities to broad audiences. However, their asynchronous and open structure is challenging for learning, especially in terms of maintaining engagement, and self-regulated learning (SRL) is necessary. This study investigates the integration of a retrieval-augmented-generation (RAG) chatbot into a MOOC and uses generative AI (genAI) to enhance learn-ers‘ SRL processes. The chatbot is based on Zimmermann’s SRL framework and is prepared for the MOOC content, basics of computer science. It is designed to support learners in the forethought, performance, and self-reflection phases by providing concise, context-specific responses. A mixed-method evaluation with 79 participants revealed high levels of satisfaction , with over 98% of respondents recommending the chatbot for future courses. The chatbot proved effective in supporting tasks such as summarization and concept clarification; however, its role in maintaining motivation emerged as a key area for further investigation. These findings underscore the transformative potential of AI chatbots in asynchronous learning environments, while also highlighting the importance of incorporating multimodal and motivational features to maximize educational technology (EdTech) impact.

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

Reference: Brünner, B., Ebner, M. (2025). InfoFit and Beyond: AI Chatbots as EdTech Tools for Self-Regulated Learning in MOOCs. In: Smith, B.K., Borge, M. (eds) Learning and Collaboration Technologies. HCII 2025. Lecture Notes in Computer Science, vol 15807. Springer, Cham. https://doi.org/10.1007/978-3-031-93567-1_4

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[mooc] Woche 4 im MOOC zu „Digitale Kompetenzen für Studienanfänger:innen“ #imoox #digiskill25

Woche 4 im MOOC zu „Digitale Kompetenzen für Studienanfänger:innen“ liegt vor uns. Diese Woche geht es um Sicherheit und selbstverständlich war dies auch Thema beim DigiStammtisch. Viel Spaß damit:

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Und natürlich ist das alles kostenfrei und offen lizenziert – daher einfach anmelden, wir freuen uns auf viele Teilnehmer:innen:

[Kostenlose Anmeldeseite MOOC „Digitale Kompetenzen für Studienanfänger:innen„]

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[news] TU Graz startet „prompting.schule“ #AIinEducation

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

Danke für einen kurzen Newsartikel über unsere promting.schule, die schön kurz die wesentliche Idee beschreibt:

„Neben einem grundlegenden Verständnis von generativer KI wollen wir den Nutzer*innen vor allem vermitteln, wie sie gut und effektiv prompten“, sagt Benedikt Brünner vom Institut Human Centred Computing der TU Graz, der an innovativen Lehrformaten rund um KI forscht.

Alles natürlich offen und frei zugänglich: [Link zur prompting-Schule]
Viel Spaß beim Mitmachen und wir freuen uns natürlich über Feedback bzw. wenn jemand selbst einen „Kurs“ zur Verfügung stellen möchte für eine bestimmte Zielgruppe, bitte gerne melden.

Achja, hier natürlich der Link zum Newsartikel auf der TU Graz Homepage.

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[publication] Digitaler Überblick statt Datenfragmentierung: Ein Studienfortschritts-Dashboard für die TU Graz

Für das fnma-Magazin 02/25 haben wir einen kurzen Beitrag zu „Digitaler Überblick statt Datenfragmentierung: Ein Studienfortschritts-Dashboard für die TU Graz“ geschrieben. Dieser bzw. das gesamte Magazin ist online erhältlich.

Abstract:
Transparenz, Selbststeuerung und digitale Unterstützung sind zentrale Faktoren für Studierbarkeit im digitalen Zeitalter. In diesem Beitrag zeigen wir, wie an der TU Graz gemeinsam mit Studierenden ein datenbasiertes Studienfortschritts-Dashboard entwickelt wird, das Orientierung schafft, Planung erleichtert und neue Impulse für ein nachhaltiges Digital Wellbeing im Student-Life-Cycle setzt.

[fnma Magazin 02/25]
[Beitrag @ ResearchGate]

Zitation: Brünner, B., Leitner, P., Pranter, P.-P. & Ebner, M. (2025) Digitaler Überblick statt Datenfragmentierung: Ein Studienfortschritts-Dashboard für die TU Graz, fnma-Magazin 02/25, S. 16-19, https://www.fnma.at/content/download/3220/21290?version=2

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[publication] Pedagogical Infrastructures of MOOC Design for Employees Training in Leading Organizations #mooc

Our research paper, „Pedagogical Infrastructures of MOOC Design for Employees Training in Leading Organizations,“ has been published:

Abstract:
As the most promising form of education, Massive Open Online Courses (MOOCs) have recently received lots of attention, especially in the leading organizations, requiring closer attention to be paid to the MOOCs’ implementation platforms before their execution. This qualitative study aims to analyze the pedagogical infrastructures in MOOCs designed for employee training in leading organizations. The research population includes documents retrieved by searching authentic Persian and Latin databases. Out of 142 studies (2013–2023), 73 were selected using a criterion sampling method. Data were gathered using the library research method and then analyzed via thematic analysis. The model validation process was presented using expert judgment. The researcher-made questionnaire for content validation of the conceptual model was then sent to the experts and the final model was approved after the modifications were made. Finally, eight sub-categories (i.e., application of learning paradigms and theories, motivational strategies in the educational environment, application of evaluation module strategies and criteria, provision of an interactive platform, infrastructure for developing the content of the course selection, setting the educational and learning goals, determining the learners’ activity in learning, application of the learners engagement types) were obtained.

[draft @ ResearchGate]
[final publication @ publisher’s website]

Reference: Fathi Hafshejani, F., Ebner, M. (2025). Pedagogical Infrastructures of MOOC Design for Employees Training in Leading Organizations. In: Auer, M.E., May, D. (eds) 2024 Yearbook Emerging Technologies in Learning. Learning and Analytics in Intelligent Systems, vol 44. Springer, Cham. https://doi.org/10.1007/978-3-031-80388-8_12

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[mooc] Woche 3 im MOOC zu „Digitale Kompetenzen für Studienanfänger:innen“ #imoox #digiskill25

Woche 3 im MOOC zu „Digitale Kompetenzen für Studienanfänger:innen“ liegt vor uns. Diese Woche geht es um das Kreation digitaler Inhalte und natürlich haben wir wieder im Digi-Stammtisch darüber geredet. Viel Spaß damit:

YouTube

Mit dem Laden des Videos akzeptieren Sie die Datenschutzerklärung von YouTube.
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Video laden

Und natürlich ist das alles kostenfrei und offen lizenziert – daher einfach anmelden, wir freuen uns auf viele Teilnehmer:innen:

[Kostenlose Anmeldeseite MOOC „Digitale Kompetenzen für Studienanfänger:innen„]

Veröffentlicht am

[publication] Ensuring Quality in AI-Generated Multiple-Choice Questions for Higher Education with the QUEST Framework #AI #tugraz #research

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

Another research paper about the use of AI for education – titled „Ensuring Quality in AI-Generated Multiple-Choice Questions for Higher Education with the QUEST Framework“ – was published.

Abstract:
With the rise of generative AI models, such as large language models (LLMs), in educational settings, there is a growing demand to ensure the quality of AI-generated multiple-choice questions (MCQs) used in higher education. Traditional quiz development methods fall short in addressing the unique challenges posed by AI-generated content, such as consistency, cognitive demand, and question uniqueness. This paper presents the QUEST framework, a structured approach designed specifically to evaluate the quality of LLM-generated MCQs across five dimensions: Quality, Uniqueness, Effort, Structure, and Transparency. Following an iterative research process, AI-generated questions were assessed and refined using QUEST, revealing that the framework effectively improves question clarity, relevance, and educational value. The findings suggest that QUEST is a viable tool for educators to maintain high-quality standards in AI-generated assessments, ensuring these resources meet the pedagogical needs of diverse learners in higher education.

[draft @ ResearchGate]
[full article @ publisher’s website]

Reference: Ebner, M., Brünner, B., Forjan, N., Schön, S. (2025). Ensuring Quality in AI-Generated Multiple-Choice Questions for Higher Education with the QUEST Framework. In: Tomczyk, Ł. (eds) New Media Pedagogy: Research Trends, Methodological Challenges, and Successful Implementations. NMP 2024. Communications in Computer and Information Science, vol 2537. Springer, Cham. https://doi.org/10.1007/978-3-031-95627-0_20