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Tracks

Track 1: Assessing AI/AI Assessing

This track explores the challenges and opportunities arising from AI with regard to student assessment: how it changes the way we need to assess in order to be able to evaluate the intended learning outcomes, rather than learner’s AI proficiency; but also, how it changes the scope of possibilities we have to conduct our assessments in a meaningful way.

Track Chairs: 

Karl Ledermüller, Evaluation and Quality Enhancement, WU Vienna

Johanna Warm, Teaching and Learning Development, WU Vienna

'AI-supported formative feedback'

Dagmar Archan, Centre for Teaching Excellence, University of Applied Sciences in Graz

'AI skills development via escape room'

Daniela Craciun, Assistant Professor of Higher Education Policy, University of Twente

'Exams in Transition: A multi-modal approach to assessment design'

Gerhard Geissler & Franz-Karl Skala, Senior Lecturer, WU Vienna University of Economics and Business

'Leveraging ai for grading in stem'

Gerd Kortemeyer, rectorate and the AI Center, ETH Zurich

'From Ban to Embrace: Rethinking Assessment in the Age of AI'

Mathias Lund, Senior Consultant & AI Implementation Lead, Copenhagen Business School

'Agentic AI and the future of assessment'

Lilit Sargsyan, Associate Professor, Yerevan State University

Track 2: Learning across different 'realities'

This track emphasises the growing importance of engaging students in immersive learning scenarios – and the role advanced technologies can play in creating an atmosphere that challenges learners to “stay in the moment” and help them prepare for “real life scenarios”.

Track Chairs:

Andrea Ghoneim, Digital Teaching Services, WU Vienna

Klaus Neundlinger, in scope

'Coaching Session in WU’s Virtual Campus – Conceptualization and Key Learnings'

Monika Koller, Eva Marckhgott, WU Vienna

'Newsday VR: Immersive Journalism Education for Real-World Preparedness and Wellbeing'

Dan McKinnie, Danielle Millea, Carl Hartley, University of Leeds

'Teaching Extended Realities at the University of Applied Arts Vienna: Reimagining Identities, Embodiment, and Space in Artistic Education'

Valerie Messini, Bence Pap, Martina Menegon, University of Applied Arts Vienna

'The E-volution Initiative: Connecting Campuses and Communities Through Immersive Learning Environments'

James Parker, Dan Pearson, USP College, Essex

'Mission in the Snow: Designing XR Learning Experience for Collaboration and Leadership'

Marina Petrova, Claudia Ocera, Nora Grasselli, ESMT Berlin

'Multifunctional learning environments: Virtual simulation and AI chatbots as a complement to in-class teaching'

Bernhard Zeilinger, University of Applied Sciences BFI Vienna

Track 3: AI Skills Deficit/AI Skills Development

The rapid rise of AI in society and education has revealed a significant skills gap - not only among students, but also among educators. While several competence frameworks define what AI literacy entails, practical and scalable approaches to developing these skills across disciplines remain limited. This track explores how AI competences can be meaningfully fostered in higher education - for both learners and teachers.

Track Chairs: 

Hedda Guggenberger, Teaching and Learning Development, WU Vienna

Verena Schwägerl-Melchior, Teaching Academy, Graz University of Technology

'Involve NEOMA community in the daily and exponential developments of AI'

Thomas Canniot, Instructional Designer, NEOMA Business School, France

'Developing AI Literacy in Teaching, Learning and Assessment in Irish Higher Education Institutions – a Collaborative Approach'

Ana Elena Schalk, Trinity College Dublin, Ireland

'Where are we and where do we need to be? Supporting Staff and Student GenAI Literacy'

Loretta Goff & Sarah Thelen, University College Cork, Ireland

'Disrupted Foundations: Roles of Universities in Reimagining Human Competence in an AI-enabled Workforce'

Miruna Mazurencu-Marinescu Pele, Bucharest University of Economic Studies, Romania

'From AI Competence Framework to AI-Coaches Program'

Margherita Valle, University of Zurich, Switzerland

'Artificial Intelligence in Education: Evaluating Türkiye’s Strategic Alignment with Future Workforce Competencies'

Berrin Yanikkaya & Ege Simge Demirel & Hatice Karaman & Onur Demir, Yeditepe University, Türkiye