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Metacognitive skills driven knowledge tracing

delete2025-08-05
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PRE
AI
J
Jiaqi Yin
J
Jingyang Qiao
H
Haoxin Xu
T
Tiong‐Thye Goh
胡谊 (Yi Hu)
DOI:10.1016/j.eswa.2025.129229delete
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Abstract

Abstract

En 中文
• Incorporating metacognitive skills in knowledge tracing for the first time. • Modeling the relationship between metacognition and cognition can enhance the interpretability and performance of the knowledge tracing model. • The performance of metacognitive skills driven knowledge tracing model on realworld datasets is better than other models.
Keywords:
metacognitive skills
knowledge tracing
interpretability
performance enhancement
real-world datasets

Journal

Expert Systems with Applications cover
Expert Systems with Applications
IF:
7.5
Papers:
2.9W
Citations:
10.2W

Organization

E
east china normal university
Scholars:
3.1W
Papers: 2.1W
Citations: 25
V
Victoria University of Wellington
Scholars:
533
Papers: 306
Citations: 6.2K