most citedPredicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities

45 citations · 60 across the 2 of their papers we have counts for

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2 papers

cs.HC2020★ 45 cited

Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities

Ahmed Alamri, Mohammad Alshehri, Alexandra I. Cristea +4

While Massive Open Online Course (MOOCs) platforms provide knowledge in a new and unique way, the very high number of dropouts is a significant drawback. Several features are consi…

cs.HC2020★ 15 cited

Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach

Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea +3

Millions of people have enrolled and enrol (especially in the Covid-19 pandemic world) in MOOCs. However, the retention rate of learners is notoriously low. The majority of the res…