A survival model for course-course interactions in a Massive Open Online Course platform.

ABSTRACT: Massive Open Online Course (MOOC) platforms incorporate large course catalogs from which individual students may register multiple courses. We performed a network-based analysis of student achievement, considering how course-course interactions may positively or negatively affect student success. Our data set included 378,000 users and 1,000,000 unique registration events in France Université Numérique (FUN), a national MOOC platform. We adapt reliability theory to model certificate completion rates with a Weibull survival function, following the intuition that students "survive" in a course for a certain time before stochastically dropping out. Course-course interactions are found to be well described by a single parameter for user engagement that can be estimated from a user's registrati

SUBMITTER: Wintermute EH 

PROVIDER: S-EPMC7822273 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature