{"id":233,"date":"2026-04-09T05:40:22","date_gmt":"2026-04-09T05:40:22","guid":{"rendered":"https:\/\/crossmmla.org\/?page_id=233"},"modified":"2026-04-23T11:20:47","modified_gmt":"2026-04-23T11:20:47","slug":"crossmmla-lak-2026","status":"publish","type":"page","link":"https:\/\/crossmmla.org\/index.php\/crossmmla-lak-2026\/","title":{"rendered":"CROSSMMLA LAK 2026"},"content":{"rendered":"

LAK 2026 Workshop:<\/span><\/strong><\/span><\/p>\n

Bergen, Norway <\/span><\/p>\n

Tuesday, April 28, 2026 | 9:00 AM to 12:30 PM | In-Person<\/span> LAK 2026<\/span><\/a><\/span><\/p>\n

Background & Motivation<\/span><\/h2>\n

Generative Artificial Intelligence (AI) \u2014 especially Large Language Models (LLMs) \u2014 is reshaping Learning Analytics by moving beyond dashboards and numerical indicators toward narrative, conversational, and more accessible forms of feedback. In Multimodal Learning Analytics (MmLA), this represents a shift from tracking surface-level behaviours (e.g., gaze, gestures, biosignals) to unlocking <\/span>semantics<\/span><\/strong><\/span>: understanding meaning, intention, and context in communication.<\/span><\/p>\n

Paired with speech-to-text and multimodal sensing technologies, LLMs can now act as <\/span>semantic sensors<\/span><\/strong><\/span>, expanding analytical capabilities and enabling richer interpretations of learning processes across modalities.<\/span><\/p>\n

Workshop Focus<\/span><\/h2>\n

This half-day CROSSMMLA symposium brings together researchers, developers, and practitioners advancing the semantic frontier in MmLA through Generative AI.<\/span><\/p>\n

Abstracts for the Workshops \u00bb\u00bb here (zip)<\/a><\/h1>\n

Planned program:<\/span><\/strong><\/span><\/p>\n

    \n
  • \n

    Welcome & Framing<\/span><\/strong><\/span> \u2014 shared goals and key concepts<\/span><\/p>\n<\/li>\n

  • \n

    Flash Research Presentations<\/span><\/strong><\/span> \u2014 emerging methods and tools<\/span><\/p>\n<\/li>\n

  • \n

    Plenary Discussion<\/span><\/strong><\/span> \u2014 opportunities, challenges, ethical considerations<\/span><\/p>\n<\/li>\n

  • \n

    Affinity Group Formation<\/span><\/strong><\/span> \u2014 seeding follow-up collaborations<\/span><\/p>\n<\/li>\n<\/ul>\n

    The workshop emphasises open exchange, hands-on engagement, and building a shared research agenda.<\/span><\/p>\n

    Participation & Format<\/span><\/h2>\n

    Designed as a half-day symposium, the workshop brought together researchers, practitioners, and developers working with generative AI and multimodal data. Flash presentations showcased current innovations, followed by structured discussions to collaboratively define the next research directions in semantic MmLA. Affinity groups formed around shared interests, laying the foundation for continued collaborations, follow-up publications, and contributions to future conferences.<\/span><\/p>\n

    Expected Outcomes & Community Relevance<\/span><\/h2>\n

    The workshop will produce and disseminate:<\/span><\/p>\n

      \n
    • \n

      A collaborative research agenda<\/span><\/strong><\/span> on semantic analytics in MmLA<\/span><\/p>\n<\/li>\n

    • \n

      Open proceedings<\/span><\/strong><\/span> with extended abstracts and contributions<\/span><\/p>\n<\/li>\n

    • \n

      A proposal for a JLA special section<\/span><\/strong><\/span> on Generative AI for semantics in MmLA<\/span><\/p>\n<\/li>\n<\/ul>\n

      These outputs aim to strengthen community partnerships and support long-term scientific impact.<\/span><\/p>\n

      This workshop directly aligns with the LAK26 theme of <\/span>Learning Analytics and AI Synergy<\/span><\/strong><\/span>.<\/span><\/p>\n

      Key contributions include:<\/span><\/p>\n

        \n
      1. \n

        Methodological innovation<\/span><\/strong><\/span> \u2014 integrating scalable semantic features into multimodal pipelines<\/span><\/p>\n<\/li>\n

      2. \n

        Responsible AI practice<\/span><\/strong><\/span> \u2014 addressing fairness, transparency, and educational value<\/span><\/p>\n<\/li>\n

      3. \n

        Cross-disciplinary collaboration<\/span><\/strong><\/span> \u2014 connecting AI, learning sciences, and applied classroom research<\/span><\/p>\n<\/li>\n<\/ol>\n

        By advancing semantic-aware multimodal analytics, the workshop supports a future where AI not only observes learning, but also interprets it to better guide, support, and empower educators and learners.<\/span><\/p>\n

        Organizers<\/span><\/strong><\/span><\/p>\n

          \n
        • Xavier Ochoa – New York University<\/span><\/li>\n
        • Daniele Di Mitri – German University of Digital Science<\/span><\/li>\n
        • Andrew Zamecnik – University of South Australia<\/span><\/li>\n
        • Daniel Spikol -University of Copenhagen<\/span><\/li>\n
        • Namrata Srivastava – Vanderbilt University<\/span><\/li>\n
        • Ruth Cobos – Universidad Aut\u00f3noma de Madrid<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

          LAK 2026 Workshop: Bergen, Norway Tuesday, April 28, 2026 | 9:00 AM to 12:30 PM | In-Person LAK 2026 Background & Motivation Generative Artificial Intelligence (AI) \u2014 especially Large Language Models (LLMs) \u2014 is reshaping Learning Analytics by moving beyond dashboards and numerical indicators toward narrative, conversational, and more accessible forms of feedback. In Multimodal […]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"_themeisle_gutenberg_block_has_review":false,"footnotes":""},"class_list":["post-233","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/crossmmla.org\/index.php\/wp-json\/wp\/v2\/pages\/233","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/crossmmla.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/crossmmla.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/crossmmla.org\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/crossmmla.org\/index.php\/wp-json\/wp\/v2\/comments?post=233"}],"version-history":[{"count":6,"href":"https:\/\/crossmmla.org\/index.php\/wp-json\/wp\/v2\/pages\/233\/revisions"}],"predecessor-version":[{"id":253,"href":"https:\/\/crossmmla.org\/index.php\/wp-json\/wp\/v2\/pages\/233\/revisions\/253"}],"wp:attachment":[{"href":"https:\/\/crossmmla.org\/index.php\/wp-json\/wp\/v2\/media?parent=233"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}