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 …

Educational data mining (EDM) is the application of data mining in the educational field.
EDM is used to classify, analyze, and predict the students' academic performance, and …

Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

The applications of artificial intelligence in education have increased in recent years.
However, further conceptual and methodological understanding is needed to advance the …

Student performance is related to complex and correlated factors. The implementation of a
new advancement of technologies in educational displacement has unlimited potentials …

Student evaluations of teaching (SET) provides potentially essential source of information to
achieve educational quality objectives of higher educational institutions. The findings can be …

Background Universities need to find strategies for improving student retention rates.
Predicting student academic performance enables institutions to identify underachievers …

Recently, machine learning (ML) has evolved and finds its application in higher education
(HE) for various data analysis. Studies have shown that such an emerging field in …

Educational data mining has gained impressive attention in recent years. The primary focus
of educational institutions is to provide quality education for students to enhance academic …

Student success rate is a significant indicator of the quality of the educational services
offered at higher education institutions (HEIs). It allows students to make their plans to …