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DRKT : Learning Differential Relationships for Efficient Knowledge Tracing with Learner’s Knowledge Internalization Representation
DOI:10.1016/j.eswa.2026.131319.png)
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
IF:
7.5
Papers:
2.9W
Citations:
10.2W

