Student success rate is a significant indicator of the quality of the educational services
offered at higher education institutions (HEIs). It allows students to make their plans to …

Learning Analytics aims to discover the class of students' performance over time. This helps
instructors make in-time interventions but, discovering the students' performance class in …

Purpose The purpose of this study is to set up an evaluation model to predict massive open
online courses (MOOC) learning performance by analyzing MOOC learners' online learning …

In the profession of education, predicting students' academic success is an essential
responsibility. This study introduces a novel methodology for predicting students' pass or fail …

Around the world, the COVID-19 pandemic has created significant obstacles for education,
driving people to discover workarounds to maintain education. Because of the excellent …

This paper analyzes various machine learning algorithms to predict student failure in a
specific educational dataset and a specific environment. The paper handles the prediction of …

Higher education has experienced an unparalleled digital transformation, driven by the
widespread adoption of online learning with massive users, which has risen to an explosive …

The outbreak of COVID-19 boosted the rapid increase in E-Learning platforms. It also paves
the way for Massive Online Open Courses (MOOCs) to break the record for students' …

ABSTRACT Nowadays, Massive Open Online Courses (MOOC) has been gradually
accepted by the public as a new type of education and teaching method. However, due to …

Predicting student performance in the future is a crucial behavior prediction problem in
education. By predicting student performance, educational experts can provide …