{"id":257,"date":"2026-10-26T15:04:23","date_gmt":"2026-10-26T15:04:23","guid":{"rendered":"https:\/\/crossmmla.org\/?page_id=257"},"modified":"2026-10-26T15:04:28","modified_gmt":"2026-10-26T15:04:28","slug":"festival-of-learning-2026","status":"publish","type":"page","link":"https:\/\/crossmmla.org\/index.php\/festival-of-learning-2026\/","title":{"rendered":"Festival of Learning 2026"},"content":{"rendered":"

GenAI as Semantic Sensors for Collaborative Learning<\/span><\/h1>\n

Festival of Learning 2026<\/span><\/a><\/span><\/strong><\/span> L@S | AIED | EDM<\/span><\/p>\n

June 27 \u2013 July 28 | Seoul, Republic of Korea<\/span><\/p>\n

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

Generative AI (GenAI) is reshaping Multimodal Learning Analytics (MMLA) \u2014 yet its use in <\/span>collaborative<\/span><\/em><\/span> learning remains largely overlooked. This half-day workshop invites researchers to explore how Large Language Models (LLMs) and multimodal architectures can act as <\/span>semantic sensors<\/span><\/strong><\/span>: decoding meaning, motivation, and coherence in group learning settings. Rather than simply tracking behaviour, we aim to envision tools that foster meaningful human-GenAI interaction and support higher-order thinking skills without falling into cognitive over-reliance.<\/span><\/p>\n

Learning Analytics has historically focused on observable signals \u2014 gaze, gesture, activity logs. Paired with speech-to-text models like Whisper, LLMs can now extract rich semantic representations from classroom dialogue in real time. Advances in multimodal LLMs further enable the analysis of nonverbal cues, such as facial expressions and physical interactions. Treating LLMs as semantic sensors opens one of the most exciting frontiers of MMLA: understanding <\/span>meaning<\/span><\/em><\/span> in collaborative learning.Learning Analytics has historically focused on observable signals \u2014 gaze, gesture, activity logs. Paired with speech-to-text models like Whisper, LLMs can now extract rich semantic representations from classroom dialogue in real time. Advances in multimodal LLMs further enable the analysis of nonverbal cues, such as facial expressions and physical interactions. Treating LLMs as semantic sensors opens one of the most exciting frontiers of MMLA: understanding <\/span>meaning<\/span><\/em><\/span> in collaborative learning.<\/span><\/p>\n

The CROSSMMLA series has advanced MMLA research across LAK, ICLS, and AIED for over a decade. This edition focuses the community on harnessing GenAI to advance the semantic frontier.<\/span><\/p>\n

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

This half-day symposium brings together researchers, developers, and practitioners advancing the semantic frontiers with Generative AI.<\/span><\/p>\n

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

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

    \n
  • \n

    Collaborative Research Agenda<\/span><\/strong><\/span> \u2014 Priorities and open challenges for GenAI as semantic sensors in collaborative learning<\/span><\/p>\n<\/li>\n

  • \n

    Special Issue Proposal<\/span><\/strong><\/span> \u2014 A call for papers in the <\/span>Behaviour & Information Technology<\/span><\/em><\/span> (planned 2027)<\/span><\/p>\n<\/li>\n<\/ul>\n

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

    Organizers<\/span><\/strong><\/span><\/h3>\n

    Daniel Spikol \u2014 University of Copenhagen<\/span><\/p>\n

    Andy Nguyen \u2014 University of Oulu<\/span><\/p>\n

    Olga Viberg \u2014 KTH Royal Institute of Technology<\/span><\/p>\n

    Namrata Srivastava \u2014 Vanderbilt University<\/span><\/p>\n

    Roberto Martinez-Maldonado \u2014 Monash University<\/span><\/p>\n

    Qi Zhou \u2014 University College London<\/span><\/p>\n

    Kester Wong \u2014 University College London<\/span><\/p>\n

    Richard Lee Davis \u2014 KTH Royal Institute of Technology<\/span><\/p>\n

    Sa\u2019ar Karp Gershon \u2014 IT University of Copenhagen<\/span><\/p>\n

    Marcelo Worsley \u2014 Northwestern University<\/span><\/p>\n

    Xavier Ochoa \u2014 New York University<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

    GenAI as Semantic Sensors for Collaborative Learning Festival of Learning 2026 L@S | AIED | EDM June 27 \u2013 July 28 | Seoul, Republic of Korea Background & Motivation Generative AI (GenAI) is reshaping Multimodal Learning Analytics (MMLA) \u2014 yet its use in collaborative learning remains largely overlooked. This half-day workshop invites researchers to explore […]<\/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-257","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/crossmmla.org\/index.php\/wp-json\/wp\/v2\/pages\/257","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=257"}],"version-history":[{"count":1,"href":"https:\/\/crossmmla.org\/index.php\/wp-json\/wp\/v2\/pages\/257\/revisions"}],"predecessor-version":[{"id":258,"href":"https:\/\/crossmmla.org\/index.php\/wp-json\/wp\/v2\/pages\/257\/revisions\/258"}],"wp:attachment":[{"href":"https:\/\/crossmmla.org\/index.php\/wp-json\/wp\/v2\/media?parent=257"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}