Multi-skill Knowledge Tracing
Multi-Skill Knowledge Tracing is a knowledge tracing framework that models student learning by simultaneously tracking proficiency across multiple interrelated skills, distinguishing itself from single-skill approaches through its ability to capture the joint evolution of knowledge states within complex, multi-faceted learning activities.
6
Publications
147
Citations
16
Authors
6
Institutions
Publications per year
2017–2026
4
Parents
6
An XGBoost-Based Knowledge Tracing Model
Wei Su, Fan Jiang, Chunyan Shi et al. · International Journal of Computational Intelligence Systems · 2023 · 45 citations · Full text
GIKT: A Graph-based Interaction Model for Knowledge Tracing
Yang Yang, Jian Shen, Yanru Qu et al. · arXiv (Cornell University) · 2020 · 17 citations · Full text
1–5 of 6
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Carnegie Mellon University
Pittsburgh, United States
1 h-index
2 publications
62 citations
Lanzhou University
Lanzhou, China
1 h-index
4 publications
180 citations

Polytechnique Montréal
Montreal, Canada
1 h-index
2 publications
44 citations
Singapore Management University
Singapore, Singapore
1 h-index
1 publications
22 citations
CITIC Group (China)
Beijing, China
1 h-index
1 publications
45 citations

Lanzhou University of Technology
Lanzhou, China
1 h-index
1 publications
45 citations
Nanjing Agricultural University
Nanjing, China
1 publications
14 citations

East China Normal University
Shanghai, China
1 publications
14 citations
1–8 of 6
Repository · 1 publications · 17 citations
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IJCIS · 1 publications · 45 citations
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