Predicting Student Performance Using Data Mining Approach: A Case Study in Oman

Abstract

Oman Education Portal (OEP) storage large amounts of raw data which invariably contains usable information not yet discovered. Data mining give us techniques which can be used to analyze data to discover unseen information and pattern. The aim of this paper is to predict student performance by analyzing Oman Education Portal data using prediction analysis by employing J48 Decision Tree algorithm. Case study results on Oman Education Portal data show J48 to be efficient in predicting student performance