Multimodal Learning Analytics
Multimodal Learning Analytics is a learning analytics approach that integrates and analyzes multiple streams of data—such as visual, auditory, gestural, and physiological signals—derived from learners’ interactions, thereby extending beyond unimodal analysis to capture complex, context-rich representations of cognitive and affective states in educational settings.
148
Publications
7.2K
Citations
375
Authors
171
Institutions
Publications per year
2017–2026
111
148
Paulo Blikstein · 2013 · 265 citations
Education, Educational Technology, Mathematics Education +16
The Future of Embodied Design for Mathematics Teaching and Learning
Dor Abrahamson, Mitchell J. Nathan, Caroline Williams et al. · Frontiers in Education · 2020 · 182 citations · Full text
1–5 of 148
375
17
h-index
16
h-index
12
h-index
11
h-index
10
h-index
1–5 of 375
171

Monash University
Melbourne, Australia
17 h-index
72 publications
3.5K citations
Stanford University
Stanford, United States
16 h-index
25 publications
2.1K citations
University College London
London, United Kingdom
10 h-index
12 publications
639 citations
Norwegian University of Science and Technology
Trondheim, Norway
10 h-index
17 publications
751 citations
Escuela Superior Politecnica del Litoral
Guayaquil, Ecuador
9 h-index
19 publications
720 citations
University of Technology Sydney
Sydney, Australia
9 h-index
25 publications
1K citations
Tallinn University
Tallinn, Estonia
8 h-index
24 publications
528 citations

Malmö University
Malmo, Sweden
8 h-index
11 publications
500 citations
1–8 of 171
9 publications · 727 citations
9
h-index
BJET · 8 publications · 732 citations
8
h-index
6 publications · 177 citations
6
h-index
6 publications · 620 citations
6
h-index
6 publications · 545 citations
6
h-index
1–5