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 …

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 …

The ability to predict students' academic performance is critical for any educational institution
that aims to improve their students' learning process and achievement. Although students' …

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 …

This paper presents the results from data mining research, performed at one of the famous
and prestigious Bulgarian universities, with the main goal to reveal the high potential of data …

The research on the educational field that involves Data Mining techniques is rapidly
increasing. Applying Data Mining techniques in an educational background are known as …

Educational data mining has become an effective tool for exploring the hidden relationships
in educational data and predicting students' academic achievements. This study proposes a …

In recent decades, predicting the performance of students in the academic field has revealed
the attention by researchers for enhancing the weaknesses and provides support for future …

The academic institutions are focusing more on improving the performance of students using
various data mining techniques. Prediction models are designed to predict the performance …

Accurate predictions of students' academic performance at early stages of the degree
programme helps in identification of the weak students and enable management to take the …