@article {
	title = {Exploring co-studied Massive Open Online Course subjects via social network analysis},
	year = {2014},
	month = {06/2014},
	author = {Jordan, Katy},
	keywords = {social network analysis, open education, MOOC, , curricula},
	journal = {International  Journal of Emerging Technologies in Learning},
	volume = {9},
	issue = {8},
	pages = {38-41},
	issn = {1863-0383},
	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’.},
	refereed = {yes},
	url = {http://dx.doi.org/10.3991/ijet.v9i8.3581},
}