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- W2952548557 abstract "MOOCs and online courses have notoriously high attrition [1]. One challenge is that it can be difficult to tell if students fail to complete because of disinterest or because of course difficulty. Utilizing a Deep Knowledge Tracing framework, we account for student engagement by including course interaction covariates. With these, we find that we can predict a student's next item response with over 88% accuracy. Using these predictions, targeted interventions can be offered to students and targeted improvements can be made to courses. In particular, this approach would allow for gating of content until a student has reasonable likelihood of succeeding." @default.
- W2952548557 created "2019-06-27" @default.
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- W2952548557 date "2019-01-01" @default.
- W2952548557 modified "2023-09-23" @default.
- W2952548557 title "Deep Knowledge Tracing and Engagement with MOOCs." @default.
- W2952548557 hasPublicationYear "2019" @default.
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