Background: Instances of academic dishonesty are common in online learning environments because difficulties in their detection result in considerably low degrees of risks. However, if not identified, the noise introduced by dishonest learners in MOOCs' clickstream data could lead to biased results and conclusions in scientific research.…

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…

This study examined the efficiency of teaching Russian as a foreign language (L2) in two groups of students -- the first benefited from the e-learning platform's capabilities (experimental), and the second underwent a traditional in-class course. Students learning Russian as L2 at People's Friendship University of Russia (Moscow, Russia) were…

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…