Bayesian Learning Analytics
Bayesian Learning Analytics is a computational framework within learning analytics that uses Bayesian inference to model and update the probability of learners' knowledge states based on observed data, distinguishing itself through its probabilistic reasoning and sequential evidence integration.
17
Publications
1K
Citations
57
Authors
27
Institutions
Publications per year
2017–2026
9
Parents
17
Sparse factor analysis for learning and content analytics
Andrew Lan, Andrew E. Waters, Christoph Studer et al. · 2014 · 133 citations · Full text
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Technological Educational Institute of Eastern Macedonia and Thrace
Kavala, Greece
1 h-index
2 publications
28 citations
Texas Tech University
Lubbock, United States
1 h-index
3 publications
48 citations
University of Florida
Gainesville, United States
1 h-index
2 publications
32 citations

Rice University
Houston, United States
1 h-index
3 publications
399 citations
New York University
New York, United States
1 h-index
4 publications
88 citations
Health Holland
The Hague, Netherlands
1 h-index
1 publications
17 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
3 publications
42 citations
National Academies of Sciences, Engineering, and Medicine
Washington, United States
1 h-index
2 publications
304 citations
1–8 of 27
2 publications · 158 citations
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1 publications · 233 citations
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ABS · 1 publications · 44 citations
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1 publications · 18 citations
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1 publications · 22 citations
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