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In order to understand better how accuracy is affected by the training+testing regime, we compared the accuracy of a standard dropout prediction architecture (clickstream features + logistic regression) across 4 different training paradigms. Considering the differences between traditional learning paradigm and moocs, a new research agenda focusing on predicting and explaining dropout of students and low completion rates in moocs. Whitehill, j., mohan, k., seaton, d., rosen, y., & tingley, d
In proceedings of the fourth (2017) acm conference on learning@ scale (pp It achieved an accuracy (averaged over all 8 weeks, and all moocs within each week) of 90:20% Abstract — in this project, i built model to predict dropout in massive open online course(mooc) platform, which is the topic in kdd cup 2015
Different from full dataset in kdd, i only had partial dataset (36% enrollments).
Massive open online courses (moocs) are attracting the attention of people all over the world Regardless the platform, numbers of registrants for online courses are impressive but in the same time, completion rates are disappointing Understanding the mechanisms of dropping out based on the learner profile arises as a crucial task in moocs, since it will allow intervening at the right moment. Ost prior dropout prediction research
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