Exploring co-studied Massive Open Online Course Subjects via social network analysis

Jordan, Katy (2014). Exploring co-studied Massive Open Online Course Subjects via social network analysis. International Journal of Emerging Technologies in Learning, 9(8) pp. 38–41.

URL: http://online-journals.org/index.php/i-jet/article...

Abstract

Massive Open Online Courses (MOOCs) allow students to study online courses without requiring previous experience or qualifications. This offers students the freedom to study a wide variety of topics, freed from the curriculum of a degree programme for example; however, it also poses a challenge for students in terms of making connections between individual courses. This paper examines the subjects which students at one MOOC platform (Coursera) choose to study. It uses a social network analysis based approach to create a network graph of co-studied subjects. The resulting network demonstrates a good deal of overlap between different disciplinary areas. Communities are identified within the graph and characterised. The results suggests that MOOC students may not be seeking to replicate degree-style courses in one specialist area, which may have implications for the future moves toward ‘MOOCs for credit’.

Viewing alternatives

Download history

Item Actions

Export

About

  • Item ORO ID
  • 40384
  • Item Type
  • Journal Item
  • ISSN
  • 1863-0383
  • Keywords
  • curricula; open education; Massive Open Online Courses; MOOCs; social network analysis
  • Academic Unit or School
  • Institute of Educational Technology (IET)
  • Copyright Holders
  • © 2014 Katy Jordan
  • Depositing User
  • Katy Jordan

Recommendations