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IJIET 2017 Vol.7(6): 443-448 ISSN: 2010-3689
doi: 10.18178/ijiet.2017.7.6.909

Towards a Paradigm of Using Big Data in Education to Develop MOOCs

Qian Wang

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 point.

Index Terms—MOOC, big data in education, development paradigm.

Qian Wang is with Northwestern Polytechnical University, Xi’an, Shaanxi, China (e-mail: wangqian1981126@126.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.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


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