Analysis and mining of educational data for predicting the student's performance of information and communication technology subject in GCE (O/L) examination

Abstract

Educational Data Mining (EDM) is find out interesting patterns and knowledge in educational organizations. This study is concerned with the student’s performance of the GCE (O/L) ICT subject. This study was investigated multiple factors affect student’s performance of the GCE (O/L) ICT subject. In this study, the classification method is used to predict the student’s performance. ID3, K-NN and Naïve Bayes method are used here. Those methods were designed using Rapid miner tool. After that qualitative model was generated and performance of student’s based on personal, social and academic factors can be predicted using this. According to this study, it may be used to predict the performance of students for the GCE (O/L) ICT subject and teachers can give special attentions and advise to students who need special attentions