Learner Knowledge State Estimation
Learner Knowledge State Estimation is a computational inference process within learner modeling that determines a learner’s current level of understanding or mastery of specific knowledge components by analyzing observed interactions and performance patterns within an educational system.
36
Publications
2K
Citations
136
Authors
50
Institutions
Publications per year
2017–2026
27
Parents
36
Enhancement of teaching outcome through neural prediction of the students' knowledge state
Lifen Zheng, Chuansheng Chen, Wenda Liu et al. · Human Brain Mapping · 2018 · 179 citations · Full text
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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University of Science and Technology of China
Hefei, China
7 h-index
36 publications
2.7K citations

Beijing Normal University
Beijing, China
4 h-index
21 publications
2.8K citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
6 publications
360 citations

Rice University
Houston, United States
2 h-index
5 publications
531 citations

San Diego State University
San Diego, United States
2 h-index
6 publications
499 citations

National Institute of Informatics
Tokyo, Japan
2 h-index
4 publications
250 citations
Northeast Normal University
Changchun, China
2 h-index
6 publications
499 citations

Cornell University
Ithaca, United States
2 h-index
2 publications
199 citations
1–8 of 50
3 publications · 206 citations
3
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2 publications · 104 citations
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Repository · 2 publications · 99 citations
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1 publications · 13 citations
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Repository · 1 publications · 26 citations
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