This research aims to identify the likelihood of dropping out from a MOOC-based program. Program dropout happens both, within and between courses. We identify the key dropout factors and develop a machine learning model to predict future student dropout.
We aim to better understand learner engagement in massive open online education in Supply Chain Management by applying learning analytics. MOOC learners can be categorized into three distinct groups: Learners, Voyeurs, and Zombies.