The last few years have witnessed an upsurge in the number of studies using Machine and
Deep learning models to predict vital academic outcomes based on different kinds and …

Student retention is an essential measurement metric in education, indicated by retention
rates, which are accumulated as students re-enroll from one academic year to the next. High …

Today, predictive analytics applications became an urgent desire in higher educational
institutions. Predictive analytics used advanced analytics that encompasses machine …

This study attempts to advance the comprehension of clickstream data in video-based
learning environments and interpret learning motivation from these large-volume and …

The study of learning analytics provides statistical analysis and extract insights from data,
particularly in education. Various studies regarding student engagement in online learning …

Background Universities need to find strategies for improving student retention rates.
Predicting student academic performance enables institutions to identify underachievers …

The overall effectiveness of a website as an e-commerce platform is influenced by how
usable it is. This study aimed to find out if advanced web metrics, derived from Google …

Recently, machine learning (ML) has evolved and finds its application in higher education
(HE) for various data analysis. Studies have shown that such an emerging field in …

Successful prediction of student performance has significant impact to many stakeholders,
including students, teachers and educational institutes. In this domain, it is equally important …

Understanding, modeling, and predicting student performance in higher education poses
significant challenges concerning the design of accurate and robust diagnostic models …