08 Sep 2022 Published Public 00:00:00 Asia/Taipei (UTC+08:00) Online


There is growing interest and research on multimodal data such as combining data streams and modalities from video, audio, trace and perception data. This is also seen in Computer Supported Collaborative Learning (CSCL), where learner interaction is increasingly being examined in alternative ways, beyond trace data, self-reports, or researcher-labelling. In this webinar, we have invited a panel of three esteemed academics to speak on their expertise in multimodality. In order of surname, our panel speakers are Mutlu Cukurova (https://tinyurl.com/mutluc), Muhterem Dindar (https://tinyurl.com/muhteremd), and Roberto Martinez Maldonado (https://tinyurl.com/robertomm).
Hailing from institutions in Australia and Europe, the panelists will share their thoughts on multimodal data in CSCL – what it is, its applications and potential, limitations and future directions. A question and answer session will follow and we hope that this webinar will provide unique and thoughtful insights on this emerging new area of research. This webinar will be facilitated by Elizabeth Koh, Lenka Schnaubert and Young Hoan Cho, chair and co-chairs of the Special Interest Group (SIG) on Computer Supported Collaborative Learning (CSCL) and Learning Sciences (LS) for the Asia-Pacific Society for Computers in Education (APSCE).

  • Start Time
    08 Sep 2022 00:00:00 Asia/Taipei (UTC+08:00)
  • Finish Time
    08 Sep 2022 00:00:00 Asia/Taipei (UTC+08:00)
  • Location