Retention and dropout of higher education students is a subject that must be analysed
carefully. Learning analytics can be used to help prevent failure cases. The purpose of this …

With technological advancement, data is proliferating. Therefore, a need has been felt for
advanced analytic techniques, which can help in extracting useful information, patterns, and …

This article is a review on attributes, models and tools used to solve the problem of
predicting students' academic performance. Based on the reference throughout 2009, the …

Digitization is transforming all aspects of education. Learner's interactions with their online
and offline learning environment lead to a trail of data that can be used for the purpose of …

In the highly competitive landscape of academia, the study addresses the multifaceted
challenge of analyzing voluminous and diverse educational datasets through the application …

Educational institutions are anticipated to take substantial and proactive roles in
guaranteeing students' successful program completion. Academic performance is …

Student's academic performance or achievement has from time to time been a subject of
discourse to academicians, scholars, researchers and educational institutions all over the …

Predicting student's academic performance is one of the subjects related to the Educational
Data Mining process, which intends to extract useful information and new patterns from …

Within the area of data science, the hyper parameters arguments affect the execution of the
algorithms and due to their particularity, must be used separately for each machine learning …

Advancements in adaptation of the online teaching, learning and assessment in higher
education. Which have facilitated a convergence of online based assessment learning …