Understanding learner behaviour in online courses with Bayesian modelling and time series characterisation

The intrinsic temporality of learning demands the adoption of methodologies capable of exploiting time-series information. In this study we leverage the sequence data framework and show how data-driven analysis of temporal sequences of task completion in online courses can be used to characterise pe...

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Detalles Bibliográficos
Autores principales: Peach, Robert L., Greenbury, Sam F., Johnston, Iain G., Yaliraki, Sophia N., Lefevre, David J., Barahona, Mauricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854683/
https://www.ncbi.nlm.nih.gov/pubmed/33531544
http://dx.doi.org/10.1038/s41598-021-81709-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854683/
https://www.ncbi.nlm.nih.gov/pubmed/33531544
http://dx.doi.org/10.1038/s41598-021-81709-3

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