Knowing the potential students who will fail the final exam at early stages is very challenging
but important for the decision-makers in the educational institutions to take proper actions to …

Due to COVID-19, the researching of educational data and the improvement of related
systems have become increasingly important in recent years. Educational institutions seek …

Early dropout of students is one of the bigger problems that universities face currently.
Several machine learning techniques have been used for detecting students at risk of …

Background Elevated levels of executive function and physical fitness play a pivotal role in
shaping future quality of life. However, few studies have examined the collaborative …

Academic performance evaluation is essential to enhance educational affection and
improve educational quality and level. However, evaluating academic performance is …

Random forest is a powerful ensemble learning technique celebrated for its heightened
predictive performance and robustness in handling complex datasets; nevertheless, it is …

A healthy lifestyle is one factor that minimizes the risk of becoming seriously ill or dying
early. A student with a healthy mind and body would be a better learner and thus would …

Predicting students' academic achievements is an essential issue in education, which can
benefit many stakeholders, for instance, students, teachers, managers, etc. Compared with …

This study aims to utilize machine learning techniques to predict student performance and
enhance educational outcomes. Various factors influence student achievement, but many …

This chapter introduces the thesis by presenting background information on the increasing
importance of technology for enhancing educational outcomes. The significance of and …