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      <journal-title-group>
        <journal-title>19th March</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Learning Analytics from Virtual Reality (LAVR)</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Programme Committee</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>- Geoffray Bonnin</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Université Lorraine</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>France - Jean-Michel Boucheix</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Université de Bourgogne</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>LEAD-CNRS</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>France - Herman Myburgh</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>University of Johannesburg - Tanya Nazaretsky</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Swiss Federal Institute of Technology Lausanne</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Switzerland - Mafor Penn</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>University of Johannesburg - Ofir Turel</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>University of Melbourne</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Australia - Sina Shahmoradi</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>PH Bern</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Switzerland - Mamta Shah</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Elsevier</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>USA - Egon Werlen</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Swiss Distance University of Applied Science</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Switzerland - Qi Zhou</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>University College London</string-name>
        </contrib>
      </contrib-group>
      <pub-date>
        <year>2024</year>
      </pub-date>
      <volume>13</volume>
      <issue>30</issue>
      <abstract>
        <p>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.</p>
      </abstract>
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