Educational data science in massive open online courses | Zendy

Romero Cristóbal | Zendy; Ventura Sebastián | Zendy

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Educational data science in massive open online courses

Author(s) -

Romero Cristóbal,

Ventura Sebastián

Publication year - 2016

Publication title -

wiley interdisciplinary reviews: data mining and knowledge discovery

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.506

H-Index - 47

eISSN - 1942-4795

pISSN - 1942-4787

DOI - 10.1002/widm.1187

Subject(s) - computer science , task (project management) , order (exchange) , skepticism , data science , open education , open data , massive open online course , online learning , world wide web , engineering , business , philosophy , systems engineering , finance , epistemology

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

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