SOURCE-LINKED INTELLIGENCE
Ability-Residual Decoupled Modeling for Affective Cognitive Diagnosis
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
- arXiv · AI, language, vision and robotics · 2026-09-18T01:54:49.000Z
First collected: 2026-09-23T14:01:59.594Z. This is not the publication date.