Prediction of Academic Performance of Students Using Multiple Regression

Abstract

In the present world where education is considered an important factor, all educational institutions are facing competition at a higher level. Students are diverted towards doing higher courses offered by numerous institutes, universities, and colleges, however with the increase in the number of courses and colleges the ratio of scholars is decreasing day by day. Various measures are taken by educators and stakeholders to reduce the intensity of failure of students. Educational data mining is a new term coined in the sector of education to predict the performance of students in academics and to increase their retention capacity by taking additional measures. This paper contains data from around 400 students collected from several faculties including their social, economic, educational, and demographic parameters, and is used to make a regression-based performance analysis.

Keywords: Educational Data Mining, Regression, Academic Performance

JEL Classification: C02