This empirical study uses a random forest algorithm to examine the factors that influence learners' persistence in online learning at a prominent Korean institution. The data were collected from students who began their studies in Spring 2021, and encompassed a range of variables including individual attributes, academic engagement, academic…

Currently, the majority of e-learning lessons created and disseminated advocate a "one-size-fits-all" teaching philosophy. The e-learning environment, however, includes slow learners in a noticeable way, just like in traditional classroom settings. Learning analytics of educational data from a learning management system (LMS) have been…

Online higher education is experiencing growth in enrolment and development which creates a need to continually evaluate the efficacy of online course delivery. Prior research reported that performance in online education is equivalent to traditional face-to-face delivery; however, minimal research exists to identify which elements of course…