The workshop aims to establish first conversations and bring together researchers and practitioners working on topics on the intersection of Learning Analytics (LA) and (immersive) Virtual Reality (VR) in educational settings. Overall, it aims to advance research on the potential and challenges of rich sensory data generated from VR for learning purposes. Ultimately, we strive to better understand how LA can improve the future design of educational VR applications. Therefore, we call for contributions on the role of LA in foundational research about the VR infrastructure and its multimodal analytics; VR for asynchronous learning experiences; and VR for synchronous teaching in the metaverse.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Full papers (10-12 pages) describing research with stated methodology and positioned in state-of-the art.
• Short papers (5-9 pages) more novel work, might be narrower in scope or work-in-progress that is likely to generate discussions at the workshop between the participants. 
• Position papers (5-6 pages) introducing new points of view in the workshop topics or summarising the experience of a group in the field, also welcome practitioner reports describing experience or challenges of using and implementing analytics in virtual reality in education. 

List of Topics

• Objective vs subjective data analysis
• Multiple sensor merging
• Effective visualizing of the data coming from the VR
• Data preparation and challenges of VR for LA
• Student/teacher acceptance and perception of using VR for LA
• Privacy and security concerns of using LA from VR in education
• LA for the design of VR environments and learning experiences
• LA for performance measurement and evaluation of VR learning
• LA for improving inclusion, equity, and diversity in VR learning environments
• LA for supporting individualized learning processes in VR environments
• LA for enabling and enhancing collaborative learning in VR environments
• LA for supporting the integration of VR in hybrid learning environments
• Challenges of algorithmic biases and unintended consequences of LA in VR
• Human-centered explainable LA for VR
• LA for empowering instructors in VR learning environments
• Scalability, availability, and shareability aspects of LA for VR

Committees

Program Committee

• Geoffray Bonnin, Université Lorraine, France
• Jean-Michel Boucheix, Université de Bourgogne, LEAD-CNRS, France
• Herman Myburgh, University of Johannesburg
• Tanya Nazaretsky, EPFL, Swiss Federal Institute of Technology Lausanne, Switzerland
• Mafor Penn, University of Johannesburg
• Ofir Turel, University of Melbourne, Australia
• Sina Shahmoradi, PH Bern, Switzerland
• Mamta Shah, Elsevier, USA
• Egon Werlen, IFeL, Swiss Distance University of Applied Science, Switzerland
• Qi Zhou, University College London, UK

Organizing committee

• Martin Hlosta,  Swiss Distance University of Applied Science, Switzerland
• Ivan Moser,  Swiss Distance University of Applied Science, Switzerland
• Amir Winer, Open University of Israel, Israel  
• Nitza Geri, Open University of Israel, Israel
• Umesh Ramnarain, University of Johannesburg, South Africa
• Christo van der Westhuizen, University of Johannesburg, South Africa

Publication

LAVR@LAK24 proceedings will be published in companion proceedings of LAK24 and submitted for inclusion in a CEUR-WS volume (and indexed on Google Scholar, DBLP, and Scopus).

Venue

The workshop will be held in Kyoto 18-22. March 2024 as part of LAK (Learning Analytics and Knowledge) '24 conference.

Contact

All questions about submissions should be emailed to martin.hlosta@ffhs.ch and amirwi@openu.ac.il.