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DRKT : Learning Differential Relationships for Efficient Knowledge Tracing with Learner’s Knowledge Internalization Representation

delete2026-01-22
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PRE
AI
Z
Zhaoli Zhang
J
Jiahao Li
H
H. Liu
E
Erqi Zhang
T
Tingting Liu
M
Minhong Wang
DOI:10.1016/j.eswa.2026.131319delete
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Abstract

Abstract

En 中文
• Leveraging learners’ knowledge internalization representation to advance knowledge tracing performance. • Mining differential relationships to enhance the modeling of complex dynamics in knowledge tracing. • Developing a novel DRKT model with superior experimental results on several public datasets, outperforming baselines.

Journal

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

Organization

T
The University of Hong Kong
Scholars:
5.9K
Papers: 2.9K
Citations: 7
C
Central China Normal University
Scholars:
1.1W
Papers: 8.1K
Citations: 1.1W