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Ability-Residual Decoupled Modeling for Affective Cognitive Diagnosis

arXiv · AI, language, vision and robotics · article · Sep 18, 2026 · UTC

Cognitive diagnosis infers students' concept mastery from response logs. However, students' responses are not determined by mastery alone: non-cognitive factors such as emotion, engagement, and fatigue can also affect performance. Affective cognitive diagnosis therefore extends conventional cognitive diagnosis by incorporating affective states. Existing methods often assume that the cognitive diagnosis backbone has already explained ability, item, and concept effects, so the remaining errors can be attributed mainly to affect. We argue that this assumption can be insufficient in real education

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Evidence & attribution

First collected: 2026-09-23T14:01:59.594Z. This is not the publication date.