Knowledge State Tracking
Knowledge State Tracking is a learner modeling method that dynamically monitors and updates an individual's mastery level over time by estimating evolving proficiencies in specific knowledge components based on observed performance.
47
Publications
3.8K
Citations
146
Authors
53
Institutions
Publications per year
2017–2026
40
Parents
47
Dynamic Key-Value Memory Networks for Knowledge Tracing
Jiani Zhang, Xingjian Shi, Irwin King et al. · 2017 · 814 citations · Full text
Knowledge Tracing with Sequential Key-Value Memory Networks
2019 · 199 citations · Full text
Learning Process-consistent Knowledge Tracing
Shuanghong Shen, Qi Liu, Enhong Chen et al. · 2021 · 153 citations
Education, Educational Technology, Intelligent Tutoring Systems +14
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University of Science and Technology of China
Hefei, China
12 h-index
65 publications
7.5K citations

Anhui University
Hefei, China
4 h-index
5 publications
568 citations

Beijing Normal University
Beijing, China
3 h-index
9 publications
616 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
3 h-index
6 publications
1.8K citations
Central China Normal University
Wuhan, China
3 h-index
9 publications
195 citations

Hefei University of Technology
Hefei, China
3 h-index
6 publications
407 citations
Singapore Management University
Singapore, Singapore
2 h-index
2 publications
167 citations
Stanford University
Stanford, United States
2 h-index
5 publications
513 citations
1–8 of 53
4 publications · 225 citations
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TKDE · 3 publications · 573 citations
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Repository · 3 publications · 145 citations
3
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3 publications · 55 citations
3
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2 publications · 104 citations
2
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1–5