This overview study set out to compare and synthesise the findings of review studies
conducted on predicting student academic performance (SAP) in higher education using …

Predicting the students' performance has become a challenging task due to the increasing
amount of data in educational systems. In keeping with this, identifying the factors affecting …

The tremendous growth of educational institutions' electronic data provides the opportunity
to extract information that can be used to predict students' overall success, predict students' …

This systematic literature review aims to identify the recent research trend, most studied
factors, and methods used to predict student academic performance from 2015 to 2021. The …

Student academic performance prediction has become a hot research topic, and is still a
research trend in the field of educational data mining (EDM). The application of data mining …

Recently, educational institutions faced many challenges. One of these challenges is the
huge amount of educational data that can be used to discover new insights that have a …

ABSTRACT Students' Academic Performance (SAP) is an important metric in determining
the status of students in any academic institution. It allows the instructors and other …

Educational Data Mining is a discipline focused on developing ways for studying the unique
and increasingly large-scale data generated by educational settings and applying those …

Predicting students' performance is one of the most important issues in educational data
mining (EDM), which has received more and more attention. By predicting students' …

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 …