Graph-based Knowledge Tracing
Graph-Based Knowledge Tracing is a knowledge tracing framework that leverages graph structures to model the relational dependencies among knowledge concepts and student interactions, distinguishing itself from other frameworks by explicitly representing educational knowledge as a graph to enhance learning trajectory prediction and personalized modeling.
18
Publications
1.5K
Citations
70
Authors
35
Institutions
Publications per year
2017–2026
18
Parents
18
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing
Xiangyu Song, Jianxin Li, Qi Lei et al. · Knowledge-Based Systems · 2022 · 243 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 survey on deep learning based knowledge tracing
Xiangyu Song, Jianxin Li, Taotao Cai et al. · Knowledge-Based Systems · 2022 · 144 citations · Full text
1–5 of 18
70
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35
University of Science and Technology of China
Hefei, China
3 h-index
6 publications
204 citations

Deakin University
Burwood, Australia
3 h-index
8 publications
1.6K citations
The University of Tokyo
Tokyo, Japan
2 h-index
6 publications
1K citations
Central China Normal University
Wuhan, China
2 h-index
11 publications
415 citations
Shandong University of Finance and Economics
Jinan, China
2 h-index
6 publications
424 citations

Xidian University
Xi'an, China
2 h-index
2 publications
450 citations

Macquarie University
Sydney, Australia
2 h-index
2 publications
163 citations
Wuhan Textile University
Wuhan, China
1 h-index
2 publications
82 citations
1–8 of 35
4 publications · 192 citations
4
h-index
2 publications · 258 citations
2
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2 publications · 387 citations
2
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1 publications · 81 citations
1
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Conference · 1 publications · 30 citations
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1–5