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Journal of the Knowledge Economy

, Volume 7, Issue 2, pp 461–487 | Cite as

How MOOCs Link with Social Media

  • Dimitrios Kravvaris
  • Katia Lida Kermanidis
  • Georgios Ntanis
Article

Abstract

The purpose of this paper is to present a survey conducted on massively open online courses (MOOCs) from Coursera and how they are linked with social media. It examines the web data that have been retrieved from Coursera’s MOOCs information pages that can be recommended by the users of the social networks and, in turn, be shared by them. What should be stressed, however, is that our focus is on the study of those data that are open and accessible to everyone and not only to registered users of MOOCs. The aim of our study, therefore, is to find out the attributes of these information pages that can characterize a course popular and those that are considered to be the most important for the users’ recommendation procedure. It is shown that the courses providing information about the assignments and the exams of the course are mostly recommended in the social media. Furthermore, we proved the correlation among the three largest social networks: Facebook, Google+, and Twitter, based on the information pages’ data, using statistical and machine learning methods. Finally, statistical experiments were carried out concerning the MOOCs users’ shares to social media.

Keywords

MOOC Social media Clustering Attribute selection Correlation Regression 

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Dimitrios Kravvaris
    • 1
  • Katia Lida Kermanidis
    • 1
  • Georgios Ntanis
    • 1
  1. 1.Department of InformaticsIonian UniversityCorfuGreece

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