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' …

To understand students' learning behaviors, this study uses machine learning technologies
to analyze the data of interactive learning environments, and then predicts students' learning …

In the past few years, educational data mining (EDM) has attracted the attention of
researchers to enhance the quality of education. Predicting student academic performance …

This study aims to employ the supervised machine learning algorithms to examine factors
that negatively impacted academic performance among college students on probation …

Educational institutions have dramatically increased in recent years, producing many
graduates and postgraduates each year. One of the critical concerns of decision-makers is …

Education plays a major role in the development of the consciousness of the whole society.
Education has been improved by analyzing educational data related to student academic …

Educational data mining (DEM) provides valuable educational information by applying data
mining tools and techniques to analyze data at educational institutions. In this paper, tree …

Student performance predictive analysis has played a vital role in education in recent years.
It allows for the understanding students' learning behaviours, the identification of at-risk …

Higher educational institutes generate massive amounts of student data. This data needs to
be explored in depth to better understand various facets of student learning behavior. The …

Abstract Students' Academic Performance is vital for assessing a student's standing within a
university. It makes it possible for academic staff, educational administrators, and decision …