@article{Jordan_2014, title={Exploring Co-studied Massive Open Online Course Subjects via Social Network Analysis}, volume={9}, url={https://online-journals.org/index.php/i-jet/article/view/3581}, DOI={10.3991/ijet.v9i8.3581}, abstractNote={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’.}, number={8}, journal={International Journal of Emerging Technologies in Learning (iJET)}, author={Jordan, Katy}, year={2014}, month={May}, pages={pp. 38–41} }