Predictive model selection for completion rate in Massive Open Online Courses

Predictive model selection for completion rate in Massive Open Online Courses

In this paper we introduce an approach for selecting a linear model to estimate, in a predictive way, the completion rate of massive open online courses (MOOCs). Data are derived from LMS analytics and nominal surveys. The sample comprises 723 observations (users) carried out in seven courses on...

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Bibliographic Details
Main Authors: Annamaria De Santis, Katia Sannicandro, Claudia Bellini, Tommaso Minerva
Format: Article
Language:English
Published: Italian e-Learning Association 2019-10-01
Series:Je-LKS: Journal of E-Learning and Knowledge Society
Subjects:
Learning Analytics
MOOCs
Predictive Models
Course Completion
Online Access:http://je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1135034

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