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

Description:
This dataset contains experimental data collected from two distinct learner groups, referred to as Class A and Class B,
and was used in the study titled “A Cognitive Diagnosis Method Based on GCN for Detecting Learners’ Concept Structures.”
The data captures cognitive diagnosis evaluation metrics based on learners' responses and concept structures inferred through
a Graph Convolutional Network (GCN) model.

Two separate files are provided:
- The evaluation coefficient of cognitive diagnosis in Class A.xlsx
- The evaluation coefficient of cognitive diagnosis in Class B.xlsx

Each file includes the following fields:
1. 正目标距离: Distance to the correct concept structure (positive target distance)
2. 反目标距离: Distance to the incorrect concept structure (negative target distance)
3. 归一化: Normalized value of the positive target distance
4. 归一化.1: Normalized value of the negative target distance
5. 认知结构系数: Cognitive structure coefficient computed for each learner (column name varies by class)

File Format:
Microsoft Excel (.xlsx)

License:
This dataset is provided for non-commercial academic research purposes. Proper citation of the original paper is required.

Usage:
- Reproduce experiments from the original paper
- Compare performance of cognitive diagnosis models
- Conduct further research on learner modeling and educational data mining