MOOCs Completion Rates and Possible Methods to Improve Retention - A Literature Review

By H. Khalil, Martin Ebner. 2014

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Predicting academic performance of students from VLE big data using deep learning models (2020, background): “…as the attribute of time, motivational factors, non-existent interactivity between students-instructors, lack of knowledge of the course pre-requisites and effectiveness of the course content, are associated with the early withdrawal of students in MOOCs (Hone & Said, 2016; Khalil & Ebner, 2014).”
Attrition and Achievement Gaps in Online Learning (2015, background): “A qualitative analysis of public records, especially forum posts, from 42 MOOCs suggested the following reasons for attrition: lack of time, learner motivation, feelings of isolation, lack of interactivity, insufficient prior knowledge or skills, and hidden costs [11].”