Early Dropout Prediction in MOOCs through Supervised Learning and Hyperparameter Optimization

Early Dropout Prediction in MOOCs through Supervised Learning and Hyperparameter Optimization

Over recent years, massive open online courses (MOOCs) have gained increasing popularity in the field of online education. Students with different needs and learning specificities are able to attend a wide range of specialized online courses offered by universities and educational institutions. As a...

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Bibliographic Details
Main Authors: Theodor Panagiotakopoulos, Sotiris Kotsiantis, Georgios Kostopoulos, Omiros Iatrellis, Achilles Kameas
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Electronics
Subjects:
MOOCs
smart cities
completion rates
dropout
early prediction
supervised learning
Online Access:https://www.mdpi.com/2079-9292/10/14/1701

Internet

https://www.mdpi.com/2079-9292/10/14/1701

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