Multimodal data analytics for assessing collaborative interactions

Yanghee Kim, Sachit Butail, Lichual Liu, Michael Tscholl, Jaejin Hwang, Francesco Cafaro, Milka Trajkova, Kyungbin Kwon, Danielle Espino, Seung Lee, Eric Hamilton, Cynthia D'Angelo, Xavier Ochoa, Aaron Kline, Sungchul Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This symposium will discuss the current status of the research and development of multimodal data analytics (MDA) for the observation of collaboration. Five research groups will present their current work on MDA, each with a unique focus on different data sources and different approaches to the analysis and synthesis of multimodal data sets. A few themes emerge from these studies: i) the studies seek to examine collaborative behaviors as a process in ordinary settings, both formal and informal; ii) with MDA being in its early stage, manual and computational approaches are taken complementarily, also using human annotation as the ground truth for the computational approach; and iii) several different discipline-specific research and development lines contribute integrally to generating authentic measures of collaborative interactions in situ, making this line of research transdisciplinary.

Original languageEnglish (US)
Title of host publication14th International Conference of the Learning Sciences
Subtitle of host publicationThe Interdisciplinarity of the Learning Sciences, ICLS 2020 - Conference Proceedings
EditorsMelissa Gresalfi, Ilana Seidel Horn
PublisherInternational Society of the Learning Sciences (ISLS)
Pages2547-2554
Number of pages8
ISBN (Electronic)9781732467293
StatePublished - 2020
Event14th International Conference of the Learning Sciences: The Interdisciplinarity of the Learning Sciences, ICLS 2020 - Nashville, United States
Duration: Jun 19 2020Jun 23 2020

Publication series

NameComputer-Supported Collaborative Learning Conference, CSCL
Volume5
ISSN (Print)1573-4552

Conference

Conference14th International Conference of the Learning Sciences: The Interdisciplinarity of the Learning Sciences, ICLS 2020
CountryUnited States
CityNashville
Period6/19/206/23/20

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Education

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