Schlagwort: ICL

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[publication] Enhancing Synchronous Collaborative Learning with AI-Supported Audience Response Systems: The EchoQuiz Approach #ARS #AI #tugraz

Our publication about „Enhancing Synchronous Collaborative Learning with AI-Supported Audience Response Systems: The EchoQuiz Approach“ is now online available.

Abstract:
This paper introduces echoQuiz, an open-source, AI-supported Audience Response System (ARS) designed for synchronous university (online) teaching with open-ended questions. The system follows a two-phase interaction model: In the quiz phase, students/learners submit their responses and then rate their peers’ responses. In the echo phase, the instructor highlights one response for group reflection, with all responses remaining anonymous. To ease the interpretation of open responses, the lecturer can be assisted by an AI system during live sessions. Developed with an Educational Design Research (EDR) approach, echoQuiz was piloted in synchronous university courses with a total of 62 participants. Survey results show high motivation and moderate perceived learning gains. The findings suggest that free-text interaction, supported by AI, can enhance engagement and adaptability in digital classrooms.

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

Reference: Brünner, B., Ebner, M. (2026). Enhancing Synchronous Collaborative Learning with AI-Supported Audience Response Systems: The EchoQuiz Approach. In: Auer, M.E., Toth, P. (eds) Innovation via Collaborative Learning in Engineering Education. ICL 2025. Lecture Notes in Networks and Systems, vol 1847. Springer, Cham. https://doi.org/10.1007/978-3-032-18885-4_2

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

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

Our publication about „Developing and Testing a Peer-Review Process for Content Quality Assurance in MOOCs: A Case Study on an E-Assessment Course“ got published now.

Abstract:
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 design 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 assurance approach that supports both collaboration and content improvement.

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

Reference: Loitzenbauer, J., Ebner, M., Schön, S., Brünner, B. (2026). Developing and Testing a Peer-Review Process for Content Quality Assurance in MOOCs: A Case Study on an E-Assessment Course. In: Auer, M.E., Toth, P. (eds) Innovation via Collaborative Learning in Engineering Education. ICL 2025. Lecture Notes in Networks and Systems, vol 1847. Springer, Cham. https://doi.org/10.1007/978-3-032-18885-4_26

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[presentation] Prompting.School: Teaching AI Literacy through Guided Prompt Engineering Practice #promting #school #tugraz

Find here our slides from the presentation of our paper, „Prompting.School: Teaching AI Literacy through Guided Prompt Engineering Practice“ at

Find slides right here.

If you are interested in the prompting.school – you can use it for free, too [link to prompting.schule]

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

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[presentation] Insights into Teachers‘ Use of Generative AI and the Influence of Contextual Factors on Fostering Self-Regulated Learning in Secondary Education #research

Find here our slides from the presentation of our paper, „Insights into Teachers‘ Use of Generative AI and the Influence of Contextual Factors on Fostering Self-Regulated Learning in Secondary Education“ at

Find slides right here.

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[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.

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[publication] Early Findings from Pilots in AI-Driven Education: Effects of AI-Generated Courses and Videos on Learning and Teaching #research #tugraz #AI

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

Our chapter in the new book on Emerging Technologies, „Early Findings from Pilots in AI-Driven Education: Effects of AI-Generated Courses and Videos on Learning and Teaching,“ has been published.

Abstract:
This paper presents the (preliminary) findings from three pilot activities conducted at TU Graz over the past 18 months, exploring the use of AI in generating (open) educational resources. The first pilot involved developing a MOOC titled “Societech: Society in the Context of Information Technologies”, which utilized various AI tools to create videos and learning materials, engaging over 500 participants. The second pilot focused on creating multilingual videos for the MOOC “Open Educational Resources in Higher Education”, using AI-generated avatars of course instructors, involving more than 800 participants. The third pilot was a field study conducted in an Austrian secondary school, where 20 students aged 12–15 could choose between videos featuring their teacher, an AI-generated human avatar, or a cartoon character. Preliminary results indicate a clear preference for teacher-led videos, highlighting the significant role of the teacher in the learning process. While AI tools facilitated quicker and more cost-effective production of educational resources, challenges such as the need for quality assurance and handling of (now possible) automatic translations were noted.

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

Reference: Schön, S., Brünner, B., Ebner, M., Edelsbrunner, S., Hohla-Sejkora, K., Uhl, B. (2025). Early Findings from Pilots in AI-Driven Education: Effects of AI-Generated Courses and Videos on Learning and Teaching. 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_2

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[publication] Digital Transformation of Teaching and Perception at TU Graz from the Students’ Perspective: Developments from the Last 17 Years #tugraz #education

Our chapter on „Digital Transformation of Teaching and Perception at TU Graz from the Students’ Perspective: Developments from the Last 17 Years“ we presented last year at ICL-conference is now online available:

The use of digital technologies in teaching to make it more varied, better, more diverse, or even more accessible is being pursued systematically at many universities. This article shows the developments in the digital transformation of teaching at Graz University of Technology (TU Graz) over the last 17 years. In the process, the various activities of Graz University of Technology and of the central department of teaching and learning technologies about the digital transformation of teaching and its focus and change during this period are described in the form of a workshop report. The consequences and developments of the Covid-19 pandemic on digital transformation efforts are also addressed. This is contrasted with results of two students’ surveys from 2014 (N = 1,502 complete questionnaires) and 2021 (N = 1,386 complete questionnaires). Within this contribution, the authors use the survey’s data to assess how students’ attitudes towards technology-enhanced teaching were changing at TU Graz. Mean indices were created to be able to compare the two surveys. This shows that despite the less good experience with teaching at TU Graz during the pandemic the attitude towards digital teaching is relatively satisfying. Nevertheless, the authors point out that the students clearly indicate that digital (distance) learning has a negative impact on communication between students and teachers as well as between students themselves, and that measures would be desirable here.

[full chapter @ book homepage]
[draft @ ResearchGate]

Reference: Martin Ebner; Bettina Mair; Christoph De Marinis; Hannes Müller; Walther Nagler; Sandra Schön; Stefan Thurner (2023). Digital Transformation of Teaching and Perception at TU Graz from the Students’ Perspective: Developments from the Last 17 Years. In: Auer, M.E., Pachatz, W., Rüütmann, T. (eds) Learning in the Age of Digital and Green Transition. ICL 2022. Lecture Notes in Networks and Systems, vol 633. Springer, Cham, pp 366–377. doi.org/10.1007/978-3-031-26876-2_34

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[presentation] Digital Transformation of Teaching and Perception at TU Graz from the Students‘ Perspective: Developments from the last 17 Years #icl22 #tugraz

Yesterday, I presented our research about „Digital Transformation of Teaching and Perception at TU Graz from the Students‘ Perspective: Developments from the last 17 Years“ at the 25th International Conference on Interactive Collaborative Learning in Vienna. Here you can find my slides:

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[publication] PDM field study and evaluation in collaborative engineering education #research

At this year ICL 2017 conference in Budapest, Hungary we did a publication on „PDM field study and evaluation in collaborative engineering education„. Andreas did the presentation and the introduction to his PhD-work.

Abstract:

Collaboration in general but especially between students of Austrian Federal Secondary Colleges of Engineering (HTL) is becoming more and more important. Therefore, the joint diploma thesis has been introduced into the cur- riculum. Furthermore, joint student projects have become a crucial topic within the subject of mechanical engineering design. Because of the worldwide activi- ties of most companies, being able to collaborate within a huge team is seen as an essential for future jobs. To support the collaboration process in engineering education, a product data management (PDM) system was introduced to several Austrian HTLs within projects carried out in the Sparkling Science program of the Austrian Federal Ministry of Science and Research. In the academic year 2016/17 a field study was started to figure out how to enhance collaboration be- tween students by using this kind of software and methods. The outcome of this study will be to find out about the level of collaboration within students’ design projects.

[Full article @ ResearchGate]

Reference: Probst, A., Gerhard, D., Ebner, M. (2017) PDM field study and evaluation in collaborative engineering education. In: Conference Proceeding of ICL2017 – 20th International Confer-ence on Interactive Collaborative Learning. Budapest, Hungary, pp. 1-9