Predicting academic performance of the student is crucial task as it depends on various
factors. To perform such predictions the machine learning and data mining algorithms are …

The application of machine learning techniques in predicting students' performance, based
on their background and their in-term performance has proved to be a helpful tool for …

Predicting student academic performance is one of the important applications of educational
data mining. It allows academic institutions to provide appropriate support for students facing …

Student success is important in colleges and universities since it is often used as a measure
of the institution's effectiveness. Identifying at-risk students early on and implementing …

The present work proposes the application of machine learning techniques to predict the
final grades (FGs) of students based on their historical performance of grades. The proposal …

Data mining approach has been successfully implemented in higher education and emerge
as an interesting area in educational data mining research. The approach is intended for …

Abstract Educational Data Mining (EDM) is an emerging field that is concerned with mining
and exploring the useful patterns in educational data. The main objective of this study is to …

Higher education institutions are often very curious to know about the success rate of the
students throughout their study. For this reason, they need to use several methods like …

Automatic Student performance prediction is a crucial job due to the large volume of data in
educational databases. This job is being addressed by educational data mining (EDM) …

Purpose This paper aims to evaluate educational data mining methods to increase the
predictive accuracy of student academic performance for a university course setting. Student …