A Study on Prediction of Student’s Learning Ability Using Data Mining Techniques

Abstract

The most difficult tasks in the education sector in India to predict student's educational performance due to a large volume of student information. In the Indian circumstance, we don't have any existing system by which analyzing and monitoring can be done to check the progress and performance of the student mostly in Higher education system. Every association has their own criteria for analyzing the presentation of the students. The reason for this happening is due to the lack of study on existing prediction techniques and hence to find the best prediction methodology for predicting the student academics evolution and performance. Another important reason is the lack in investigating the suitable factors which affect the academic performance and achievement of the student in exacting classes. So extremely recognize the problem, a fact literature analysis on predicting student’s performance using data mining techniques is planned. The main objective of this article is to provide a huge data and understanding of different data mining techniques which have been used to predict the student development and performance and hence how these prediction techniques help to find the most important student quality for prediction. By improve the performance of the student in learning by using best data mining techniques. These also provide some benefits for faculties, students, educators and management of the institution.