Abstract

Early prediction of student’s performance helps to take necessary remedies for better grades of students. To achieve the better education standard, several attempts have been made to predict the performance of the student, but the prediction accuracy is not acceptable. To accomplish the enhanced prediction, Neural Network (NN) based method is proposed. In this paper, an approach to predict student academic performance in college education based on artificial neural network is proposed. This paper also focuses on how the prediction algorithm can be used to identify the most important attributes in a student’s data. We could actually improve students’ achievement and success more effectively in an ancient way using educational data mining techniques. It could bring the benefits and impacts to students, educators and academic institutions.

Keywords: Academic performance; Prediction; Machine leaning; Neural networks; Regression