Student Representation Learning is a computational modeling approach within student modeling that specifically learns latent, structured representations of individual learners from multimodal educational data to capture their evolving knowledge states, cognitive attributes, and behavioral patterns in a way that enables personalized inference and intervention.
99
Publications
5.3K
Citations
287
Authors
120
Institutions
Publications per year
2017–2026
50
Parents
Publications
99
1–5 of 99
Authors
287
- PB
4
h-index
- RT
3
h-index
- VP
3
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- ND
3
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- MG
3
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1–5 of 287
Institutions
120
University of Colorado Boulder
Boulder, United States
5 h-index
7 publications
734 citations
Stanford University
Stanford, United States
3 h-index
11 publications
956 citations
Sebelas Maret University
Surakarta, Indonesia
3 h-index
10 publications
180 citations
University of California, Berkeley
Berkeley, United States
3 h-index
3 publications
598 citations
Curtin University
Perth, Australia
2 h-index
5 publications
283 citations
University of St Andrews
St Andrews, United Kingdom
2 h-index
2 publications
131 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
4 publications
139 citations
Dublin City University
Dublin, Ireland
2 h-index
4 publications
214 citations
1–8 of 120
Venues
- Journal of Physics Conference Series
8 publications · 143 citations
8
h-index
- Physical Review Special Topics - Physics Education Research
PER · 5 publications · 530 citations
5
h-index
- Physical Review Physics Education Research
PRPER · 4 publications · 201 citations
4
h-index
- AIP conference proceedings
4 publications · 213 citations
4
h-index
- International Journal of Science Education
IJSE · 3 publications · 109 citations
3
h-index
1–5