Machine Learning Techniques for Predicting Student Performance

Abstract

Predicting pupils' performance has become increasingly tough because of enormous data. Recently, there has been a lack of a framework to examine and monitor student growth and performance in India. The following are the key causes for this. To begin with, the previous existing prediction methods are not sufficient to determine the appropriate approaches for student performance prediction in Indian institutions. Another reason is a dearth of research on the elements that influence students' progress in specific courses within the course setting. As a result, there is a comprehensive literature review on applying data mining approaches to predict student performance. It is advocated that pupils' academic achievements be improved. The purpose is to give a recap of data mining approaches that were used to predict student performance. This algorithm also helps to find the most important characteristics in a student's data. Utilizing educational data mining approaches could boost students' success and achievement cost-effectively. Students, educators, and academic institutions would benefit and be impacted due to the features of a student's data.