Validation of Course Prerequisites Based on Student Grade Using Fuzzy Association Rules
Chein-Shung Hwang, Ping Yu, Yi-Ching Su, Kuo-Cheng Tseng · 2009
One of the most valued approaches for identifying and assigning course prerequisites relies on statistical techniques. We propose a new statistical approach for validating prerequisites based on fuzzy association rules. Fuzzy association rules provide strong tools for mining quantitative data and representing dependencies between data. An experiment based on real student data from our department is conducted and some findings are reported.