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We found that dropout prediction fortunately works almost equally on groups induced by various grouping factors Further, we implement our proposal within the educational domain by studying student dropout prediction in a latin american higher institution. However, in the case of stem majors, the predictor collection can vary as a function of the targeted group.

While multiple studies have presented viable models of higher education dropout prediction [2, 33], these models left room for improvement or, at least, exploration [24] Mooc dropout prediction using machine learning techniques Selected works in the context of distance education have made use of these opportunities in predictive modeling.

Based on the features, they applied several machine learning approaches to build dropout prediction models

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