Statistics, almost half of the first-time freshmen full time students who began seeking a
bachelor's degree do not graduate. The imbalance between the student enrolment and …

Measuring Student's performance is necessary for the mordent society. Applications of
Machine learning algorithms increased the growth in various fields like disease prediction …

Automated prediction of students' retention and graduation in education using advanced
analytical methods such as artificial intelligence (AI), has recently attracted the attention of …

In higher educational institutions, student enrollment management and increasing student
retention are fundamental performance metrics to academic and financial sustainability. In …

Abstract The Universal Access to Quality Tertiary Education Act is a law in the Philippines
that provides college students with free tuition and other fees in Philippine state universities …

Student retention is one of the biggest challenges facing academic institutions worldwide as
it does not only affects the student negatively but also hinders institutional quality and …

Purpose The purpose of this paper is to empirically investigate and compare the use of
multiple data sources, different classifiers and ensembles of classifiers technique in …

For an aspiring graduate student, shortlisting the universities to apply to is a difficult problem.
Since an application is extremely dynamic, students often tend to wonder if their profile …

The need for a knowledge-based society has perpetuated an increasing demand for higher
education around the globe. Recently, there has been an increase in the demand for …

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 …