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 …

Nowadays, online learning is preferable as it allows learners to learn anytime and
anywhere, especially in pandemic crisis. However, this type of learning suffers from high …

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 …

Currently, developing courseware for e-learning initiatives remains much of a black art.
While we are mastering the process of authoring interactive media, we know little about the …

This study proposes an analytic approach which combines two predictive models (the
predictive model of successful students and the predictive model of at-risk students) to …

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

This qualitative study has three objectives:(1) to develop a predictive AI model to categorize
the online learning behavior of Thai students who study through a Thai Massive Open …

Identifying at-risk students is one of the most important issues in online education. During
different stages of a semester, students display various online learning behaviors. Therefore …

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 …

The utilization of learning analytics to identify at-risk students for early intervention has
exhibited promising results. However, most predictive models utilized to address this issue …