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 …
Educational data mining is an emerging interdisciplinary research area involving both education and informatics. It has become an imperative research area due to many …
A Nabil, M Seyam, A Abou-Elfetouh - IEEE Access, 2021 - ieeexplore.ieee.org
Predicting students' academic performance at an early stage of a semester is one of the most crucial research topics in the field of Educational Data Mining (EDM). Students are …
Today, predictive analytics applications became an urgent desire in higher educational institutions. Predictive analytics used advanced analytics that encompasses machine …
The study of big data analytics (BDA) methods for the data-driven industries is gaining research attention and implementation in today's industrial activities, business intelligence …
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 …
W Xiao, P Ji, J Hu - Engineering Reports, 2022 - Wiley Online Library
Predicting students' performance is one of the most important issues in educational data mining (EDM), which has received more and more attention. By predicting students' …
GB Brahim - Arabian Journal for Science and Engineering, 2022 - Springer
Predicting students' performance during their years of academic study has been investigated tremendously. It offers important insights that can help and guide institutions to make timely …
As education is an essential enabler in achieving Sustainable Development Goals (SDGs), it should “ensure inclusive, equitable quality education, and promote lifelong learning …