Evaluation Coefficients Dataset for GCN-Based Cognitive Diagnosis in Class A and Class B

This dataset contains evaluation data collected from two student groups (Class A and Class B) to support the study titled \u201cA Cognitive Diagnosis Method Based on GCN for Detecting Learners\u2019 Concept Structures.\u201d It includes cognitive diagnosis metrics based on learners\u2019 response distances to correct and incorrect concept structures, normalized scores, and cognitive structure coefficients computed through a Graph Convolutional Network (GCN) model. The dataset can be used to replicate the original experiments, benchmark other cognitive diagnosis models, or conduct new research in intelligent tutoring and educational data mining. It is provided in Excel format, with a detailed README file explaining all fields and usage instructions.