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Incorporating Cognitive Load and Knowledge Transfer for Multi-Domain Knowledge Tracing

arXiv · AI, language, vision and robotics · article · Aug 25, 2026 · UTC

Knowledge Tracing (KT) aims to assess students' dynamic knowledge states from their learning histories. While most existing KT methods focus on single-domain learning with notable success, real-world learning scenarios often involve multiple domains simultaneously, introducing two critical factors: 1) Cognitive load, arising from managing learning across domains in both temporal and knowledge dimensions. 2) Knowledge transfer, where knowledge states in one domain influence related states both within and across domains. In this paper, we focus on exploring these factors to improve students' kno

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