Abstract—The Massive Open Online Course (MOOC)
movement represents a new wave of enthusiasm for online
resources development. Informed by relevant literature, the
author designed a paradigm of using big data in education to
develop MOOCs. It is argued that MOOC development can
benefit from big data in education, the use of which enables
MOOC developers to better reflect MOOC values in the overall
design, better control the development process, and better meet
users’ needs. Big-data-driven MOOCs are characterized by
better fit between developers’ intentions and users’ needs,
enhanced usability and stronger adaptability. Issues concerning
the use of big data in decision making, content selection, forms of
expression and feedback mechanism are discussed, with the
MOOC entitled “Psychology and Healthy Life” as a case in
Index Terms—MOOC, big data in education, development paradigm.
Qian Wang is with Northwestern Polytechnical University, Xi’an, Shaanxi, China (e-mail: email@example.com).
Cite: Qian Wang, "Towards a Paradigm of Using Big Data in Education to Develop MOOCs," International Journal of Information and Education Technology vol. 7, no. 6, pp. 443-448, 2017.