Transformer-based Knowledge Tracing
Transformer-Based Knowledge Tracing is a knowledge tracing method that leverages the transformer architecture to model student learning by capturing long-range dependencies and complex temporal patterns in educational interaction sequences through self-attention mechanisms.
8
Publications
389
Citations
48
Authors
9
Institutions
Publications per year
2017–2026
8
Parents
8
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction
Dongmin Shin, Yugeun Shim, Hangyeol Yu et al. · 2021 · 147 citations · Full text
Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer
Yu Yin, Le Dai, Zhenya Huang et al. · 2023 · 86 citations
Exploiting multiple question factors for knowledge tracing
Yan Zhao, Huifang Ma, Wentao Wang et al. · Expert Systems with Applications · 2023 · 26 citations · Full text
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The University of Queensland
Brisbane, Australia
1 h-index
1 publications
45 citations

Monash University
Melbourne, Australia
1 h-index
6 publications
270 citations

Harbin Engineering University
Harbin, China
1 h-index
3 publications
42 citations
Northwest Normal University
Lanzhou, China
1 h-index
6 publications
156 citations
Singapore Management University
Singapore, Singapore
1 h-index
1 publications
14 citations
Tsinghua University
Beijing, China
1 h-index
1 publications
39 citations
University of Science and Technology of China
Hefei, China
1 h-index
8 publications
688 citations

East China Normal University
Shanghai, China
1 h-index
4 publications
156 citations
1–8 of 9
2 publications · 59 citations
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1 publications · 39 citations
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1 publications · 20 citations
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Repository · 1 publications · 12 citations
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1 publications · 26 citations
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