[publication] Code Meets Career: Employer Interpretations of Coding Bootcamp Graduates in Austria and Germany #edmedia

We are happy about another publication at this year’s edmedia conference titled „Code Meets Career: Employer Interpretations of Coding Bootcamp Graduates in Austria and Germany„

Abstract:
Coding bootcamps have expanded rapidly in response to skill shortages in the IT sector and as alternative pathways into the field. However, little is known about how these pathways are perceived and valued within organizations, especially in Austria and Germany. This study therefore examines how companies in Austria and Germany perceive, evaluate, and integrate coding bootcamp graduates. Drawing on a qualitative content analysis of five semi-structured interviews with decision-makers in software development, IT consulting, and human resources, the study focuses on socially situated employer perspectives on skills, potential, and legitimacy. The findings reveal a nuanced picture: while graduates are generally valued for their motivation, adaptability, learning orientation, teamwork, and practical engagement, concerns persist regarding theoretical depth, project experience, and formal recognition. In the case of refugee participants, language proficiency emerged as an additional challenge shaping labor market integration. The findings further suggest that workplace integration depends less on the bootcamp model itself than on organizational conditions such as onboarding structures, mentoring opportunities, and continued professional development. Overall, the study provides exploratory insights into how coding bootcamp qualifications are interpreted and evaluated by employers and contributes to alternative educational pathways into software development careers.

[article @ conference homepage]
[draft @ ResearchGate]

Reference: Wolf, D., Ebner, M. & Brünner, B. (2026). Code Meets Career: Employer Interpretations of Coding Bootcamp Graduates in Austria and Germany. In Proceedings of EdMedia 2026 Edinburgh (pp. 1170-1184). Edinburgh, Scotland: Association for the Advancement of Computing in Education (AACE). Retrieved July 1, 2026 from https://www.learntechlib.org/primary/p/2129750/.

[publication] How Embodiment Changes AI Tutoring: Comparing Student Perceptions of Text and AI Human Avatar-Based Chatbot Systems #AIinEducation #chatbot #tugraz

Our publication titled „How Embodiment Changes AI Tutoring: Comparing Student Perceptions of Text and AI Human Avatar-Based Chatbot Systems“ is now published.

Abstract:
Embodied conversational interfaces are able to deliver generative AI tutoring via synthesised speech and human-like video avatars. However, there is limited empirical evidence on how embodiment shapes the learner experience and self-regulated learning (SRL). This study compares the perceptions of students interacting with a text-based Retrieval-Augmented Generation (RAG) tutor and an avatar-based RAG tutor in two authentic higher education contexts (introductory computer science and Python programming) across two European universities. Adopting a Design-Based Research approach, we collected (1) questionnaire data from users and non-users, and (2) anonymised interaction logs comprising 341 user messages, which were coded using an SRL process–action framework. The results show that the perceived level of learning support is largely consistent with previous text-only deployments: the tutor is primarily valued for providing explanations and support related to practice, while motivational support is still comparatively weak. However, embodiment notably improves perceptions of the system as a communication partner, with active users rating this dimension more positively than non-users. Modality ratings suggest that audio output is perceived as more helpful than the visual avatar. Log analyses show that interactions are still dominated by information-seeking (Seeking–Search) and that metacognitive SRL actions (e.g. goal setting and self-evaluation) are rare. Embodiment also introduces additional peripheral interactions (e.g. character-focused prompts and human-likeness checks), thereby increasing the proportion of non-learning dialogue. Overall, the findings suggest that, while embodiment enhances social presence, it does not automatically foster deeper SRL. Explicit pedagogical scaffolding is needed to encourage learners to engage in metacognitive regulation.

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

Reference: Brünner, B., Nestler, M., Pucher, L., Ebner, M. (2026). How Embodiment Changes AI Tutoring: Comparing Student Perceptions of Text and AI Human Avatar-Based Chatbot Systems. In: Smith, B.K., Borge, M. (eds) Learning and Collaboration Technologies. HCII 2026. Lecture Notes in Computer Science, vol 16731. Springer, Cham. https://doi.org/10.1007/978-3-032-30542-8_25

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

[blogpost] Generative KI in der Hochschullehre – Wie wir Innovation verantwortungsvoll gestalten #hfd #tugraz #AI

Wir haben einen kurzen Blogpost über „Generative KI in der Hochschullehre – Wie wir Innovation verantwortungsvoll gestalten,“ beim Hochschulforum Digitalisierung verfasst um auch auf unsere Whitepaper hinzuweisen:

Dieser Blogbeitrag von Philipp Leitner, Benedikt Brünner, Martin Ebner und Sandra Schön bietet Hochschulen eine kompakte Anleitung, wie sie generative KI überlegt in der Lehre einsetzen können. Die Tipps wurden aus der Praxis an der TU Graz entwickelt und getestet und werden ergänzt mit Beispielen sowie Hinweisen auf nützliche Tools.

[Link zum Blogpost]

Whitepaper: Schön, S., Brünner, B., Ebner, M., & Leitner, P. (2026). Evaluating GenAI Innovation in Higher Education. A Whitepaper (Version 1.0 – May 22, 2026). Graz University of Technology. https://doi.org/10.3217/1tfkj-ntj85


[publication] Empowering Preservice Biology Teachers as Designers of Pedagogical AI Agents: Moving Beyond Data Feeding toward Pedagogical Design #research

Our article about „Empowering Preservice Biology Teachers as Designers of Pedagogical AI Agents: Moving Beyond Data Feeding toward Pedagogical Design“ is published and available online.

Abstract:
Artificial intelligence (AI) influences learning processes, student activities, and the organization of teaching, both in general and specifically in science education. Research indicates that the way AI will affect science learning primarily depends on how it is implemented in teaching. This study examines the ability of preservice biology teachers (PSBTs) to independently develop pedagogical AI agents (TDP-AI agents), most often in the form of chatbots, tailored to teaching goals, content, and students‘ needs. This empirical study, based on a mixed-methods research approach and applying the ICAP theoretical framework, analyzed 54 lesson plans. In addition, the study explored PSBTs‘ perceptions regarding the development and contribution of TDP-AI to biology teaching. The results reveal three patterns of AI agent application in lesson plans: (a) intensive use of TDP-AI agents across all lesson phases, promoting students‘ cognitive engagement, (b) moderate and selective use focused on core activities, and (c) limited use mainly in introductory segments. Five thematic areas reflect PSBTs‘ perspectives: (1) personalization and flexibility of learning, (2) enhancement of student motivation and engagement, (3) development of teachers‘ digital and pedagogical competencies, (4) technical and resource-related challenges in agent development, and (5) pedagogical-methodological barriers in designing student-AI interactions. The findings emphasize the need for systematic support for pre-service teachers in developing digital tools and building pedagogical approaches to ensure AI is used ethically and effectively in science education.

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

Reference: Anđić, B., Helm, C., Weinhandl, R. et al. Empowering Preservice Biology Teachers as Designers of Pedagogical AI Agents: Moving Beyond Data Feeding toward Pedagogical Design. Res Sci Educ (2026). https://doi.org/10.1007/s11165-026-10359-0

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

[ijet, journal] Journal of Emerging Technologies in Learning Vol. 21 / No.03 #ijet #research

Issue 21/03 of our journal on emerging technologies for learning got published. Enjoy the readings as usual for free :-).

Table of Contents:

  • Strategies, Regulations and Mechanisms for Protecting Student Data in University Digital Repositories: A Systematic Review
  • Investigating Emotions in Virtual Reality-Based Learning Environment: Cognitive Load, Academic Performance, and Knowledge Exploration
  • Designing for Self-Regulated Learning in AI-Assisted Quizzing: A Classroom Pilot Study
  • Factors that Influence the Joint Construction and Operation of Experimental Teaching Demonstration Centers in the Context of Industry-Education Integration
  • K-12 Teacher Perceptions of LMS Usage in Online Teaching and Information Technology Support: Post COVID-19 Pandemic

[Link to Issue 21/03]

Nevertheless, if you are interested to become a reviewer for the journal, please just contact me 🙂 .

[publication] Digital Equipment Evolution and IT Activity of TU Graz study beginners (2011-2025): Challenges of Tablet and AI Dominance for University Digital-Sovereignty Initiatives #tugraz #welcomedays

Our most traditional research publication about the outcomes of the welcome days‘ survey is now published, titled „Digital Equipment Evolution and IT Activity of TU Graz study beginners (2011-2025): Challenges of Tablet and AI Dominance for University Digital-Sovereignty Initiatives„

Abstract:
Over the last thirteen years, more than 14 000 freshmen at the Graz University of Technology (TU Graz) have taken part in the annual „Welcome Days“ surveys. This study analyses the responses collected between 2011 and 2025 to chart the shifting digital profile of incoming students. The results highlight evolving patterns in hardware ownership, social-media activity, communication preferences, digital recreation, and the utilization of online information sources. Notably, the data reveal a steady increase in the adoption of artificial-intelligence applications and tablet devices, alongside a decline in the use of Wikipedia and open-source software. These trends pose significant challenges for TU Graz, prompting the need for initiatives that strengthen digital sovereignty and promote on-premise hosting of open-source solutions.

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

Reference: Nagler, W., Mayr, B., Ebner, M., Schön, S. & Bruenner, B. (2026). Digital Equipment Evolution and IT Activity of TU Graz study beginners (2011-2025): Challenges of Tablet and AI Dominance for University Digital-Sovereignty Initiatives. In Proceedings of EdMedia 2026 Edinburgh (pp. 119-129). Waynesville, NC: Association for the Advancement of Computing in Education (AACE). Retrieved June 15, 2026 from https://www.learntechlib.org/primary/p/2129631/.

[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.

[issue] Applications of Digital Technology and AI in Educational Settings #tugraz #research

I am happy to announce that my successful journal issue on „Applications of Digital Technology and AI in Educational Settings“ is now closed. In summary, 16 very interesting articles are part of it:

  • Generative AI as a More Knowledgeable Other: An Autoethnographic Study of Game Design Education
  • An Exploratory Study of a Generative AI-Based Intelligent Tutoring System Using a Multi-Agent Architecture in Higher Education
  • Design Principles and Impact of a Learning Analytics Dashboard: Evidence from a Randomized MOOC Experiment
  • Retrieval-Augmented Vision–Language Agents for Child-Centered Encyclopedia Learning
  • A Multi-Agent Chatbot Architecture for AI-Driven Language Learning
  • Memory-Augmented Large Language Model for Enhanced Chatbot Services in University Learning Management Systems
  • PCcGE: Personalized Chinese Couplet Generation and Evaluation Framework Based on Large Language Models
  • Gen-SynDi: Leveraging Knowledge-Guided Generative AI for Dual Education of Syndrome Differentiation and Disease Diagnosis
  • Students’ Perceptions of AI Digital Assistants (AIDAs): Should Institutions Invest in Their Own AIDAs?
  • Digital Human Technology in E-Learning: Custom Content Solutions
  • Automatic Correction System for Learning Activities in Remote-Access Laboratories in the Mechatronics Area
  • Toward Questionnaire Complexity Reduction by Decreasing the Questions
  • Gamification and Immersive Experiences: A Gamified Approach for Promoting Active Aging
  • AI-Driven Smart Transformation in Physical Education: Current Trends and Future Research Directions
  • Regional Perspectives on Service Learning and Implementation Barriers: A Systematic Review
  • An Overview of Commercial Virtual Reality Providers in Education: Mapping the Current Market Landscape

You can find the whole issue here [Link to the Open-Access-Issue]

[CfP] Special Issue on „Applications of Educational Technology and AI in Educational Settings“ #research

I am happy to announce another Call for Papers for a Special Issue on „Applications of Educational Technology and AI in Educational Settings„

This Special Issue aims to investigate the transformative impact of digital technology and/or artificial intelligence (AI) in educational settings. As such, we are seeking educational technology solutions that add value to education with a strong focus on the technology used.
With rapid advancements, AI-powered tools like adaptive learning platforms, automated grading systems, chatbots, AI agents, AI avatars and a high number of different applications are changing the educational environment. Furthermore, digital technologies in general, including virtual classrooms settings or blended-learning situations as well as MOOCs, enhance accessibility and foster student engagement.
Therefore, we are seeking case studies and recent research exploring both the benefits and challenges of integrating digital technologies and AI in educational settings. Ethical considerations, teacher roles, open education and digital equity are also of interest, emphasizing the need for thoughtful implementation to maximize the potential of digital technologies in improving educational outcomes.

The deadline for the final submission, as well as further information, can be found here: [Link to the call]

[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).