A survival model for course-course interactions in a Massive Open Online Course platform
In: ISSN: 1932-6203, 2021
academicJournal
Zugriff:
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 registration profile. User engagement, in turn, correlates with certificate rates in all courses regardless of specific content. The reliability approach is shown to capture several certificate rate patterns that are overlooked by conventional regression models. User engagement emerges as a natural metric for tracking student progress across demographics and over time.
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A survival model for course-course interactions in a Massive Open Online Course platform
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Autor/in / Beteiligte Person: | Wintermute, Edwin ; Cisel, Matthieu ; Lindner, Ariel ; Learning Planet Institute Paris (LPI) ; Laboratoire AGORA (AGORA - EA 7392) ; CY Cergy Paris Université (CY) ; Institut des Humanités numériques (IDHN) ; Equipes Traitement de l'Information et Systèmes (ETIS - UMR 8051) ; Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY)-Lexiques, Textes, Discours, Dictionnaire - Centre Jean Pruvost (LT2D) ; CY Cergy Paris Université (CY)-CY Cergy Paris Université (CY)-Laboratoire Mobilités, Réseaux, Territoires, Environnements (MRTE - EA 4112) ; CY Cergy Paris Université (CY)-CY Cergy Paris Université (CY)-Laboratoire AGORA (AGORA - EA 7392) ; CY Cergy Paris Université (CY)-CY Cergy Paris Université (CY) |
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Zeitschrift: | ISSN: 1932-6203, 2021 |
Veröffentlichung: | HAL CCSD ; Public Library of Science, 2021 |
Medientyp: | academicJournal |
DOI: | 10.1371/journal.pone.0245718 |
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