Studying massive open online courses: recommendation in social media

Authors:
Dimitrios Kravvaris;Georgios Ntanis;Katia L. Kermanidis
Affiliations:
Ionian University, Corfu, Greece;Ionian University, Corfu, Greece;Ionian University, Corfu, Greece
Venue:
Proceedings of the 17th Panhellenic Conference on Informatics
Year:
2013

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Abstract

This paper is a research approach linking Massively Open Online Courses (MOOCs) data from Coursera with social media. More specifically it examines information through web data that have been retrieved from the MOOCs Information Pages of the company. These pages can be recommended by the site visitors of the social networks and be shared by them. Our study's purpose is to trace those attributes of these pages that are the most valuable for the visitor's recommendation procedure. Moreover, we study the correlation among the three largest social networks, Facebook, Google+ and Twitter, based on the data of the Information Pages. Finally, we present interesting statistics concerning the course categories and the Universities that participate.