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SQGKT: Student-question interaction graph-based knowledge tracing
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AI
DOI：10.1016/j.eswa.2025.129175.png)
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Abstract
En 中文
• Designing a knowledge tracing model SQGKT to predict students’ future performance. • Modeling students’ learning ability, attempt, and hint in student-question graph. • Designing a embedding and fusion module to access enhanced question representations.
Keywords:
knowledge tracing
student-question graph
learning ability
hint usage
embedding fusion
Journal
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7.5
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2.9W
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10.2W