Analysis of Students’ Behavior Based on Educational Data Mining

This research aims to develop a model for analysis of student behavior through e-Learning based on data mining technique in case of Suan Sunandha Rajabhat University. The student data set was composed of 5392 personal records and, to compare the effective of algorithm, the model was created under decision tree and Bayesian networks techniques. The result found that showed that Bayesian networks technique showed higher performance and the percentage of prediction is accurate 91.32%.