Volume 7, Issue 1 e1187
Overview

Educational data science in massive open online courses

Cristóbal Romero

Corresponding Author

Cristóbal Romero

Department of Computers Science and Numerical Analysis, University of Cordoba, Cordoba, Spain

Correspondence to: [email protected]Search for more papers by this author
Sebastián Ventura

Sebastián Ventura

Department of Computers Science and Numerical Analysis, University of Cordoba, Cordoba, Spain

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First published: 08 September 2016
Citations: 71
Conflict of interest: The authors have declared no conflicts of interest for this article.

Abstract

The current massive open online course (MOOC) euphoria is revolutionizing online education. Despite its expediency, there is considerable skepticism over various concerns. In order to resolve some of these problems, educational data science (EDS) has been used with success. MOOCs provide a wealth of information about the way in which a large number of learners interact with educational platforms and engage with the courses offered. This extensive amount of data provided by MOOCs concerning students' usage information is a gold mine for EDS. This paper aims to provide the reader with a complete and comprehensive review of the existing literature that helps us understand the application of EDS in MOOCs. The main works in this area are described and grouped by task or issue to be solved, along with the techniques used. WIREs Data Mining Knowl Discov 2017, 7:e1187. doi: 10.1002/widm.1187

This article is categorized under:

  • Application Areas > Education and Learning

Graphical Abstract