Knowledge Tracing Explainability
Knowledge Tracing Explainability is an academic construct within Explainable Artificial Intelligence in Education that refers to the transparency and interpretability of the internal mechanisms and decision-making processes used by knowledge tracing models to infer and predict a learner's evolving cognitive state over time.
5
Publications
235
Citations
19
Authors
17
Institutions
Publications per year
2017–2026
5
5
Changqin Huang, Qionghao Huang, Xiaodi Huang et al. · IEEE Transactions on Knowledge and Data Engineering · 2024 · 83 citations
A survey of explainable knowledge tracing
Yanhong Bai, Jiabao Zhao, Tingjiang Wei et al. · Applied Intelligence · 2024 · 26 citations
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Williams College
Williamstown, United States
1 h-index
3 publications
54 citations
Université de Lille
Lille, France
1 h-index
1 publications
43 citations
Centre Inria de Saclay
Palaiseau, France
1 h-index
1 publications
43 citations
Jilin University
Changchun, China
1 h-index
1 publications
83 citations

Victoria University
Melbourne, Australia
1 h-index
1 publications
83 citations
Université Paris-Saclay
Gif-sur-Yvette, France
1 h-index
1 publications
43 citations
Singapore Management University
Singapore, Singapore
1 h-index
1 publications
43 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
1 publications
43 citations
1–8 of 17
Repository · 1 publications · 76 citations
1
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1 publications · 15 citations
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Conference · 1 publications · 43 citations
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TKDE · 1 publications · 83 citations
1
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1 publications · 18 citations
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1–5