Systematic review of predicting student’s performance in academics

Abstract

Data mining (DM) gaining popularity due to its advantages in the educational environment. Most of the educational institution, now a day applied these techniques to make improvement in their education system. By using these techniques, academic performance of the student is analyzed and if find anything wrong with the student performance then timely help will be provided to that student. In our education system, we lack in finding those factor which mostly affects the student performance in academics. Therefore, a systematic review of all the authors work done in this field is required to understand the data mining application in education and how it helps to improve and predict the student academic performance. In this article, the main focus moves around two important factors: Firstly, to find the most critical factors which affect the student performance used by the most researcher and secondly to find the algorithm which is mostly used.