期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：53
期号：3
出版社：Journal of Theoretical and Applied
摘要：Data Mining techniques are widely used in educational field to find new hidden patterns from student�s data. The hidden patterns that are discovered can be used to understand the problem arise in the educational field. This paper surveys the three elements needed to make prediction on Students� Academic Performances which are parameters, methods and tools. This paper also proposes a framework for predicting the performance of first year bachelor students in computer science course. Na�ve Bayes Classifier is used to extract patterns using the Data Mining Weka tool. The framework can be used as a basis for the system implementation and prediction of Students� Academic Performance in Higher Learning Institutions.
关键词：Data Mining; Educational Data Mining; Prediction; Students� Academic Performance
