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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.
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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.