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<pdf width="1500px">https://ceur-ws.org/Vol-3667/LAVRLAK24_Preface.pdf</pdf>
<pre>
                                Learning Analytics from Virtual Reality (LAVR)
                            19th March 2024, 13:30-17:00 JST, Kyoto, as part of LAK24 conference

                         This workshop was organised as part of the pre-conference program for the 14th
                         International Conference on Learning Analytics and Knowledge (LAK’24). The event was
                         designed as a symposium scheduled for half-day duration in the afternoon on 19th March
                         2024.

                         The goal of the LAVR workshop was 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.

                         There were 4 papers submitted for peer-review to this workshop, each of them reviewed by
                         at least two members from the Program Committee. Out of these, 4 papers were accepted
                         for this volume, 2 as regular papers and 2 as short papers. These four papers are the
                         content of this workshop proceedings.

                                1. “Towards using the xAPI specification for Learning Analytics in Virtual Reality” by
                                   Sergej Görzen, Birte Heinemann, and Ulrik Schroeder
                                2. “A Learning Analytics Dashboard to Investigate the Influence of Interaction in a VR
                                   Learning Application” by Birte Heinemann, Sergej Görzen, Ana Dragoljić, Lars
                                   Meiendresch, Marc Troll, and Ulrik Schroeder
                                3. “Approximating eye gaze with head pose in a virtual reality microteaching scenario
                                   for pre-service teachers.” by Ivan Moser, Martin Hlosta, Per Bergamin, Umesh
                                   Ramnarain, Christo Van Der Westhuizen, Mafor Penn, Noluthando Mdlalose,
                                   Koketso Pila, and Ogegbo Ayodele
                                4. “Towards Learning Analytics for Student Evaluation in the Metaversity” by Amir Winer
                                   and Nitza Geri

                         Together with the presentation and discussions of the four papers, the event was started by
                         Prof Marcus Specht delivering a keynote entitled “Perspectives on LA in and from VR: from
                         tracking guitar chords to discussing airplane design”. The last hour of the workshop was
                         dedicated to the joint discussion of the organisers, authors of the papers and other workshop
                         participants. The topics revolved around the affordances and challenges of collecting and
                         making use of LA from VR, and the further plans for creating a community of researchers.

                         We would like to thank all the authors who submitted their work for this event, as well as our
                         program committee for providing the detailed feedback for all the papers.


CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings
Programme 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

</pre>