A systematic literature review of student'performance prediction using machine learning techniques

B Albreiki, N Zaki, H Alashwal - Education Sciences, 2021 - mdpi.com
Educational Data Mining plays a critical role in advancing the learning environment by
contributing state-of-the-art methods, techniques, and applications. The recent development …

Utilising learning analytics to support study success in higher education: a systematic review

D Ifenthaler, JYK Yau - Educational Technology Research and …, 2020 - Springer
Study success includes the successful completion of a first degree in higher education to the
largest extent, and the successful completion of individual learning tasks to the smallest …

MOOC dropout prediction using machine learning techniques: Review and research challenges

F Dalipi, AS Imran, Z Kastrati - 2018 IEEE global engineering …, 2018 - ieeexplore.ieee.org
MOOC represents an ultimate way to deliver educational content in higher education
settings by providing high-quality educational material to the students throughout the world …

Prediction of students' early dropout based on their interaction logs in online learning environment

AA Mubarak, H Cao, W Zhang - Interactive Learning Environments, 2022 - Taylor & Francis
Online learning has become more popular in higher education since it adds convenience
and flexibility to students' schedule. But, it has faced difficulties in the retention of the …

Interpretable dropout prediction: towards XAI-based personalized intervention

M Nagy, R Molontay - International Journal of Artificial Intelligence in …, 2024 - Springer
Student drop-out is one of the most burning issues in STEM higher education, which induces
considerable social and economic costs. Using machine learning tools for the early …

Taking action to reduce dropout in MOOCs: Tested interventions

I Borrella, S Caballero-Caballero, E Ponce-Cueto - Computers & Education, 2022 - Elsevier
Abstract Massive Open Online Courses (MOOCs) have democratized access to higher
education, but low entry and exit barriers make dropout rates in these courses much higher …

Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model

K Coussement, M Phan, A De Caigny, DF Benoit… - Decision Support …, 2020 - Elsevier
Online learning has been adopted rapidly by educational institutions and organizations.
Despite its many advantages, including 24/7 access, high flexibility, rich content, and low …