Application of educational data mining on analysis of students' online learning behavior

Based on the log data generated in the “Engineering Mechanics Experiment” Autonomous Learning Platform designed and developed by our institution, firstly the related data of students' landing behavior and resources explored behavior are collected and pretreated. And then the feature of the students' study behavior are analyzed, based on the analysis the factors that affect the students' log in and resources explore behavior are acquired by the decision tree algorithm. According to the analysis the education workers can adjust and optimize the teaching strategies, improve the teaching process and the curriculum development, and then to organize the teaching content and build teaching mode according to the student's study behavior.