Multimodal learning analytics and interaction analysis: Connections, tensions and new directions

Cynthia D'Angelo, David DeLiema, Ananda Marin, R. Ben Shapiro, Marcelo Worsley

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

Abstract

The learning sciences is a community that celebrates and thrives on interdisciplinarity and the integration and advancement of divergent academic traditions. This paper describes our motivation for examining the potential to couple two research methodologies: interaction analysis and multimodal learning analytics. We suggest that integrating these two methodologies offers ways to advance qualitative insights about learner interactions while also augmenting the ethical commitments and methodological approaches that are not traditionally used in the field of learning analytics.

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)
Pages2661-2664
Number of pages4
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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