Cognitive Diagnosis Focusing on Knowledge Components

Sheng Li, Zhenyu He, Quanlong Guan, Yizhou He, Liangda Fang, Weiqi Luo, Xingyu Zhu

Abstract: Cognitive diagnosis is a crucial task in the field of educational measurement and psychology, which aims to diagnose the strengths and weaknesses of participants. Existing cognitive diagnosis methods only consider which of knowledge concepts are involved in the knowledge components of exercises, but ignore the problem that different knowledge concepts have different effects on practice scores in actual learning situations. This paper proposes the CDMFKC model, which considers the effect of different knowledge concepts on exercise scores, and uses neural networks to model complex interactions between students and exercise factors. We validate our model on three real datasets.