STUDENT RESULT PREDICTION USING DATA MINING TECHNIQUE

Abstract

The intent of the research paper is to presents a brief review of the use of a large amount of student data that was kept by the educational institutions. Using the data mining technique student result can be predicted from these data. The purpose of this research paper is to provide an overview of how an educational institution can predict the student result, what tools are used on this purpose, what kind of data is needed for the prediction, how students can visualize their current progress and also can see their predicted result. Finally, this paper will propose a recommended system for the students and the institutions to improve the student progress depending on some specific data such as, predict the student final grade depending on the student’s assignment, presentation, attendance, quiz, mid, final mark on a particular subject and suggested some predictive modeling such as Decision tree, Naïve Bayes. Compare the predictive modeling with each other and also find out the impact the various variable in student result prediction.