Learning Pattern Discovery and Prediction using Decision Tree for SPOC Teaching

SPOC(Small Private Online courses) is a blended learning model using MOOC as online learning activity. Big data are generated in SPOC learning and reflect how the students learn. The main contributions of this study are: 1) proposing the DTC_GF algorithm which selects different features to create a better decision tree. 2) improving the decision tree algorithm with Radom Forest and CART. 3) applying the DTC_GF algorithm to predict students' learning achievements—good or bad.