Adoption of Feature Selection and Classification Techniques in a Decision Support System

 Abstract—This paper presents a decision support system prototype called eCourse Learning Analytics Decision Support System (eCLADSS) using J48 tree classifier and multiple linear regression models. The system identifies students who are falling behind in a course, notifies those at risk of not completing it, then informs the users the predicted grade a student is likely to obtain without intervention. The developed eCLADSS predicts the performance of the Learning Management System (LMS) users which may help the Distance Education (DE) students succeed in the blended learning approach being provided by the DE educators. It is a model-driven decision support system which provides a good platform for prediction model generation.