Although much research has focused on factors that contribute to effective online education in higher education (HE), insights remain scattered. In this study, we provide a more holistic perspective on how to facilitate effective online HE by concurrently examining factors that were hitherto treated separately. In our meta-review, we synthesized…

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 educational technology provides meaningful insights into several dimensions of educational quality. An in-depth analysis of the application of ML could have a positive impact on…

Purpose: The purpose of this paper is to analyse the changes taking place when learning moves from a transmissive learning model to a collaborative and reflective learning model and proposes consequences for quality development. Design/methodology/approach: The paper summarises relevant research in the field of e-learning to outline the…