MOOC Dropout Prediction: Lessons Learned from Making Pipelines Interpretable


Dropout prediction in MOOCs is a well-researched problem where we classify which students are likely to persist or drop out of a course. Most research into creating models which can predict outcomes is based on student engagement data. Why these students might be dropping out has only been studied through retroactive exit surveys. This helps identify an… (More)
DOI: 10.1145/3041021.3054162


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