Bayesian Student Modeling
Bayesian Student Modeling is a computational approach to learner profiling that uses Bayesian inference to dynamically update probabilistic representations of student knowledge and skills based on observed performance and prior evidence.
137
Publications
5.8K
Citations
325
Authors
150
Institutions
Publications per year
2017–2026
25
Parents
137
1–5 of 137
325
6
h-index
6
h-index
5
h-index
5
h-index
4
h-index
1–5 of 325
150
University of Pittsburgh
Pittsburgh, United States
9 h-index
14 publications
1.1K citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
14 publications
329 citations

Worcester Polytechnic Institute
Worcester, United States
6 h-index
17 publications
450 citations
Educational Testing Service
Princeton, United States
4 h-index
9 publications
298 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
4 publications
400 citations

Universidad de Málaga
Málaga, Spain
4 h-index
11 publications
500 citations
North Carolina State University
Raleigh, United States
3 h-index
12 publications
321 citations
Columbia University
New York, United States
3 h-index
4 publications
142 citations
1–8 of 150
Conference · 8 publications · 250 citations
8
h-index
4 publications · 727 citations
4
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Repository · 3 publications · 116 citations
3
h-index
3 publications · 122 citations
3
h-index
3 publications · 201 citations
3
h-index
1–5