Predicting Students' Final Passing Results Using the Classification and Regression Trees (CART) Algorithm

The aim of this research shares that of a previous research programme that involved a lecturer as an academic advisor helping students to predict their final passing results based on their performance in several subjects in early semesters of their study period (1). Previous research used discriminant analysis, which is considered to be impractical in this instance. In this research, a more practical method is introduced and applied, based upon the classification of functions of data mining. The classification was performed using software based upon the Classification and Regression Trees (CART) algorithm.