Neural Knowledge Tracing
Neural Knowledge Tracing is a machine learning framework within knowledge tracing that employs neural networks to model student knowledge states by capturing complex, nonlinear relationships between past interactions and future performance.
43
Publications
3.2K
Citations
170
Authors
56
Institutions
Publications per year
2017–2026
41
Variants
Nkt
Parents
43
Context-Aware Attentive Knowledge Tracing
Aritra Ghosh, Neil T. Heffernan, Andrew Lan · 2020 · 516 citations · Full text
JKT: A joint graph convolutional network based Deep Knowledge Tracing
Xiangyu Song, Jianxin Li, Yifu Tang et al. · Information Sciences · 2021 · 207 citations · Full text
A Self-Attentive model for Knowledge Tracing
Shalini Pandey, George Karypis · arXiv (Cornell University) · 2019 · 190 citations · Full text
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56
Central China Normal University
Wuhan, China
5 h-index
19 publications
737 citations
University of Science and Technology of China
Hefei, China
4 h-index
18 publications
1.4K citations

Zhejiang Normal University
Jinhua, China
3 h-index
8 publications
453 citations

Jinan University
Guangzhou, China
2 h-index
6 publications
314 citations

Anhui University
Hefei, China
2 h-index
2 publications
119 citations

East China Normal University
Shanghai, China
2 h-index
5 publications
147 citations
North Carolina State University
Raleigh, United States
2 h-index
6 publications
201 citations

Charles Sturt University
Bathurst, Australia
2 h-index
4 publications
221 citations
1–8 of 56
6 publications · 218 citations
6
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Repository · 3 publications · 213 citations
3
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2 publications · 59 citations
2
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2 publications · 239 citations
2
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Conference · 2 publications · 69 citations
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1–5