Cognitive modeling and intelligent tutoring
Artificial Intelligence - Special issue on artificial intelligence and learning environments
Extending Domain Theories: Two Case Studies in Student Modeling
Machine Learning
Computational methods for rough classification and discovery
Journal of the American Society for Information Science - Special issue: knowledge discovery and data mining
Data mining using extensions of the rough set model
Journal of the American Society for Information Science - Special issue: knowledge discovery and data mining
On acquiring classification knowledge from noisy data based on rough set
Expert Systems with Applications: An International Journal
Applying variable precision rough set model for clustering student suffering study's anxiety
Expert Systems with Applications: An International Journal
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Student modeling has been an active research area in the field of intelligent tutoring systems. In this paper, we propose a rough data mining approach to the student modeling problems. The problem is modeled as a knowledge discovery process in which a student's domain knowledge (classification rules) was discovered and rebuilt using rough set data mining techniques. We design two knowledge extraction modules based on the lower approximation set and upper approximation set of the rough set theory, respectively. To verify the effectiveness of the knowledge extraction modules, two similarity metrics are presented. A set of experiments is conducted to evaluate the capability of the knowledge extraction modules. At last, based on the experimental results some suggestions about a future knowledge extraction module are outlined.