The research and practice of a five-sided educational data mining framework

摘要

In this paper, we design a five-sided educational data mining framework (5S-EDMF) to analyze college students' diligence and effectiveness of study, and to recommend learning resource accordingly. We noticed data collected from students' E-learning activities to reveal a lot about the attitudes and behaviors of students online as well as offline. This provides us an additional valuable tool to access and help students. We will present the 6-parameter prediction model: 5S-EDMF. We have field-tested our model. After analyzing the collected data, we concluded that our framework provides an effective learning environment; and our model is a good predictor for students' performances.