Data mining techniques for predicting student performance

Predicting student performances in order to prevent or take precautions against student failures or dropouts is very significant these days. Student failure and dropout is a major problem nowadays. There can be many factors influencing student dropouts. Data mining can be used as an effective method to identify and predict these dropouts. In this paper, a classification method for prediction is been discussed. Decision tree classifiers are used here and methods for solving the class imbalance problem is also discussed.