Mingjie Tan|Peiji Shao
Prediction of Student Dropout in E-Learning Program Through the Use of Machine Learning Method
University of Electronic Science and Technology of China|University of Electronic Science and Technology of China
high rate dropout serious problem elearning program thus received extensive concern education administrators researchers predicting potential dropout students workable solution prevent dropout based analysis related literature study selected students personal characteristic academic performance input attributions prediction models developed using artificial neural network ann decision tree dt bayesian networks bns large sample 62375 students utilized procedures model training testing results model presented confusion matrix analyzed calculating rates accuracy precision recall fmeasure results suggested three machine learning methods effective student dropout prediction dt presented better performance finally suggestions made considerable future research