Article

Enhancing Neural Cognitive Diagnosis: Q-Matrix Recovery, Task Distraction Sensitivity, and Dynamic Attention Modeling from Synthetic Data

2026-03-25

Abstract excerpt

<title>Abstract</title> <p>Neural Cognitive Diagnosis Models have shown potential for inferring fine-grained student skill profiles. We extend NeuroCDM to enhance its expressiveness and applicability. First, we address the limitations of idealized Q-matrices: enabling the model to operate under incomplete skill-task mappings, improving robustness to real-world instructional noise. Second, we introduce a task-leve...

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Literature Corpus work: 0a3aee89-4903-5fdc-b6a1-60cc39d4867a
DOI: 10.21203/rs.3.rs-7618651/v1

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