Several challenges are associated with e‐learning systems, the most significant of which is
the lack of student motivation in various course activities and for various course materials. In …

Online learning platforms such as Massive Open Online Course (MOOC), Virtual Learning
Environments (VLEs), and Learning Management Systems (LMS) facilitate thousands or …

Research has shown online learners' performance to have a strong association with their
demographic characteristics, such as regional belonging, socio-economic standing …

Education is very important for students' future success. The performance of students can be
supported by the extra assignments and projects given by the instructors for students with …

A significant problem in Massive Open Online Courses (MOOCs) is the high rate of student
dropout in these courses. An effective student dropout prediction model of MOOC courses …

The OU Analyse project aims at providing early prediction of 'at-risk'students based on their
demographic data and their interaction with Virtual Learning Environment. Four predictive …

This study provides an overview of the educational big data research project at Kyushu
University, Japan. This project uses an e-book system called BookLooper, which allows …

Abstract The Faculty of Mechanical Engineering, Czech Technical University in Prague
(FME) faces a significant student drop-out in the first-year bachelor programme, which is an …

Educational data mining is the procedure of converting raw data collected from educational
databases into some useful information. It can be helpful in designing and answering …

Online education has attracted a large number of students in recent years, because it breaks
through the limitations of time and space and makes high-quality education at your …