Multimodal Learner Modeling
Multimodal Learner Modeling is a learner modeling approach that integrates multiple modalities of data—such as behavioral, physiological, linguistic, and interactional inputs—to construct a comprehensive, individualized representation of a learner’s cognitive, affective, and metacognitive states within personalized learning systems.
45
Publications
2.3K
Citations
158
Authors
78
Institutions
Publications per year
2017–2026
30
45
1–5 of 45
158
7
h-index
3
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3
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3
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2
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1–5 of 158
78
University of Southern California
Los Angeles, United States
4 h-index
7 publications
267 citations

Open University of the Netherlands
Heerlen, The Netherlands
4 h-index
10 publications
1.1K citations
Stanford University
Stanford, United States
4 h-index
6 publications
221 citations
Norwegian University of Science and Technology
Trondheim, Norway
3 h-index
3 publications
331 citations

Monash University
Melbourne, Australia
3 h-index
4 publications
475 citations
University College London
London, United Kingdom
3 h-index
4 publications
198 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
131 citations
Northwestern University
Evanston, United States
2 h-index
4 publications
84 citations
1–8 of 78
5 publications · 365 citations
5
h-index
BJET · 3 publications · 329 citations
3
h-index
2 publications · 57 citations
2
h-index
2 publications · 42 citations
2
h-index
1 publications · 33 citations
1
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1–5