In recent years, artificial intelligence (AI) and learning analytics (LA) have been introduced
into the field of education, where their use has great potential to enhance the teaching and …

The last few years have witnessed an upsurge in the number of studies using Machine and
Deep learning models to predict vital academic outcomes based on different kinds and …

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 …

Adewusi, Okolo, Olorunsogo, Asuzu, & Daraojimba, P. 415-431 Page 416 vast volumes of
data generated in the digital age. From traditional reporting and querying to advanced …

Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

Efforts have been made to include artificial intelligence (AI) in teaching and learning;
nevertheless, the successful deployment of new instructional technology depends on the …

This study investigates current approaches to learning analytics (LA) dashboarding while
highlighting challenges faced by education providers in their operationalization. We analyze …

A significant body of recent research in the field of Learning Analytics has focused on
leveraging machine learning approaches for predicting at-risk students in order to initiate …

With the advances in Artificial Intelligence (AI) and the increasing volume of online
educational data, Deep Learning techniques have played a critical role in predicting student …

Student retention is an essential measurement metric in education, indicated by retention
rates, which are accumulated as students re-enroll from one academic year to the next. High …