Proposing the Multimodal Learning Analytics Platform for Social Emotional Learning

Gahyun Sung; Bertrand Schneider

doi:10.22318/icls2023.836145

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Proposing the Multimodal Learning Analytics Platform for Social Emotional Learning

Conference proceeding

Open access

Proposing the Multimodal Learning Analytics Platform for Social Emotional Learning

Gahyun Sung and Bertrand Schneider

ISLS Annual Meeting 2023: Building Knowledge and Sustaining our Community - 17th International Conference of the Learning Sciences, ICLS 2023, Proceedings, pp.2121-2122

2023

DOI: 10.22318/icls2023.836145

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Abstract

We present an ongoing effort to create an integrated data to knowledge platform that focuses on multimodal learning analytics for social emotional learning research. A key feature of the platform is the ability to extract and analyze multimodal data from video streams with various computer vision algorithms, curated to be applicable to a range of learning scenarios including individual or dyadic work, and co-located learning in an open learning environment.

Details

Title: Subtitle: Proposing the Multimodal Learning Analytics Platform for Social Emotional Learning
Creators: Gahyun Sung - Harvard University
Bertrand Schneider - Harvard University
Resource Type: Conference proceeding
Publication Details: ISLS Annual Meeting 2023: Building Knowledge and Sustaining our Community - 17th International Conference of the Learning Sciences, ICLS 2023, Proceedings, pp.2121-2122
DOI: 10.22318/icls2023.836145
ISSN: 1573-4552
Language: English
Date published: 2023
Academic Unit: Psychological and Quantitative Foundations
Record Identifier: 9984825537402771

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