Predicting students' performance is an essential activity towards the success of the world's
education sector. However, the action continues to present itself as a challenging task due to …

Student success plays a vital role in educational institutions, as it is often used as a metric for
the institution's performance. Early detection of students at risk, along with preventive …

Selecting the appropriate undergraduate program is a critical decision for students. Many
elements influence this choice for secondary students, including financial, social …

The recommender system has been designed to impose a degree of order into the content
management of e-courses accompanying subjects on geography, history and culture of …

Education systems produce a large number of valuable data for all stakeholders. The
processing of these educational data and making studies on the future of education based …

This research is one of the first to predict the academic performance of middle-and high-
school students using Machine Learning Algorithms (MLAs) based on numerous socio …

Institutions of higher learning are currently facing the challenging task of attracting new
students who can effectively meet their diverse academic demands. With these demands …

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 …

Despite of providing high quality of education, demand on predicting student academic
performance become more critical to improve the quality and assisting students to achieve a …