Explainability is highly desired in machine learning (ML) systems supporting high-stakes
policy decisions in areas such as health, criminal justice, education, and employment. While …

Today, educational institutions produce large amounts of data with the deployment of
learning management systems. These large datasets provide an untapped potential to …

The nature of education has been transformed by technological advances and online
learning platforms, providing educational institutions with more options than ever to thrive in …

Today, the main aim of educational institutes is to provide a high level of education to
students, as career selection is one of the most important and quite difficult decisions for …

This study focused on predicting at-risk groups of students at the Open University (OU), a UK
university that offers distance-learning courses and adult education. The research was …

Introduction As artificial intelligence (AI) technology becomes more widespread in the
classroom environment, educators have relied on data-driven machine learning (ML) …

Predicting university student graduation is a beneficial tool for both students and institutions.
With the help of this predictive capacity, students may make well-informed decisions about …

Programming education has become an essential skill for the digital generation. However, it
presents a unique set of challenges that can be difficult for beginners. Educational data …

Unfortunately, the “black box” stigma that has long plagued machine learning has caused
many doctors to remain leery of its applications. A “black box” is a model that is so …

Online education has experienced significant progress, with machine learning playing a
crucial role in improving the outcomes of skills acquisition. In this examination of scholarly …