In education, identifying the important pre-university study factors poses a formidable
challenge, due to the necessity for human intervention in the variable selection process …

The world's move to a global economy has an impact on the high rate of student academic
failure. Higher education, as the affected party, is considered crucial in reducing student …

Predicting academic performance is a crucial task for educators and institutions because it
enables the early identification of at-risk students and helps provide targeted interventions to …

The escalating student numbers in Moroccan universities have intensified the complexities
of managing ontime graduation. In this context, Machine learning methodologies were …

In most universities, the number of students who graduated on time reflect tremendously on
their operation costs. In such cases, the high number of graduate-on-time or GOT students …

Timely graduation is a problem that is often experienced by study programs at higher
education institutions, where several factors can be the cause. This study applies data …

This study aims to predict a student's graduation on time (GOT) using machine learning
algorithms. We applied five different machine learning algorithms, namely Random Forest …

Graduation is an important benchmark in higher education accreditation and community
assessment. This research seeks to ensure timely graduation for all students, considering …

Nowadays, the application of data mining is widely prevalent in the education system. The
ability of data mining to obtain meaningful information from meaningless data makes it very …

A student's academic success and on-time graduation, with all the social and economic
rewards that come with that, can be significantly improved by predicting a student's …