Multimodal Collaboration Analysis
Multimodal Collaboration Analysis is a computational method in Collaborative Learning Analytics that integrates and analyzes multiple data streams—such as speech, gesture, gaze, and digital trace data—to holistically assess the dynamics, patterns, and quality of collaborative interactions among learners.
53
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2K
Citations
162
Authors
77
Institutions
Publications per year
2017–2026
41
53
Fan Ouyang, Weiqi Xu, Mutlu Cukurova · International Journal of Computer-Supported Collaborative Learning · 2023 · 109 citations · Full text
Towards Collaboration Translucence
Vanessa Echeverría, Roberto Martínez‐Maldonado, Simon Buckingham Shum · 2019 · 91 citations
Roberto Martínez‐Maldonado, Yannis Dimitriadis, Alejandra Martínez‐Monés et al. · International Journal of Computer-Supported Collaborative Learning · 2013 · 83 citations
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University College London
London, United Kingdom
6 h-index
8 publications
514 citations

Malmö University
Malmo, Sweden
5 h-index
6 publications
319 citations
Universidade Federal de Santa Catarina
Florianópolis, Brazil
4 h-index
4 publications
121 citations
University of Valparaíso
Valparaíso, Chile
4 h-index
19 publications
582 citations

Open University of the Netherlands
Heerlen, The Netherlands
3 h-index
6 publications
267 citations
Pontificia Universidad Católica de Valparaíso
Valparaíso, Chile
3 h-index
6 publications
188 citations

Scuola Superiore Sant'Anna
Pisa, Italy
3 h-index
5 publications
498 citations

The University of Sydney
Sydney, Australia
3 h-index
11 publications
844 citations
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3 publications · 214 citations
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BJET · 3 publications · 81 citations
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2 publications · 64 citations
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2 publications · 65 citations
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2 publications · 41 citations
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