Knowledge Tracing Evaluation
Knowledge Tracing Evaluation is a scholarly methodological framework within educational data mining that systematically assesses the accuracy and efficacy of knowledge tracing models in predicting students' evolving cognitive states over time.
25
Publications
718
Citations
100
Authors
29
Institutions
Publications per year
2017–2026
14
Parents
25
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
1–5 of 25
100
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29
University of California, Berkeley
Berkeley, United States
4 h-index
7 publications
134 citations
University of Pittsburgh
Pittsburgh, United States
3 h-index
6 publications
226 citations

Worcester Polytechnic Institute
Worcester, United States
2 h-index
7 publications
247 citations

Zhejiang Normal University
Jinhua, China
2 h-index
4 publications
77 citations

Lappeenranta-Lahti University of Technology
Lappeenranta, Finland
2 h-index
4 publications
148 citations

Lanzhou University of Technology
Lanzhou, China
1 h-index
1 publications
45 citations
Beijing Jiaotong University
Beijing, China
1 h-index
4 publications
184 citations

Pearson (United States)
New York, United States
1 h-index
1 publications
16 citations
1–8 of 29
Repository · 5 publications · 154 citations
5
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Conference · 3 publications · 86 citations
3
h-index
3 publications · 79 citations
3
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Repository · 2 publications · 77 citations
2
h-index
Repository · 1 publications · 11 citations
1
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1–5