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IJIET 2018 Vol.8(6): 443-448 ISSN: 2010-3689
doi: 10.18178/ijiet.2018.8.6.1079

Empirical Research of Motivation on Knowledge Contribution Behavior: A Perspective on Chinese Original Users from Education Multimedia Platform

Jing Du, Liyong Wan, Jingjing Xu, and Ronghuai Huang

Abstract—The existence of original UGC of education makes learners can get learning resources through diverse channels, this will change the way of learning and the users’ active participation guarantee the generation of original UGC of education. This research is based on motivation theory, social exchange theory and self-efficacy theory, putting forward an original generating motivation hypothesis model on original UGC of education from two dimensions, individual and society, extracting 6 factors and 7 theoretical hypotheses for motivation study. The object of this empirical research is the creator of original UGC of education and verify 7 hypotheses with structural equation model. Finding that lifelong learning have a positive impact on users’ enthusiasm to generate content.

Index Terms—User generated content, open learning resource, motivation, structural equation modeling.

Jing Du and Jingjing Xu are with the Smart Learning Institute of Beijing Normal University, Beijing, China (e-mail: dujing@mail.bnu.edu.cn, xujingjing@mail.bnu.edu.cn).
Liyong Wan is with the School of Education, South-Central University For Nationalities, China (e-mail: liyongwan2010@126.com).
Ronghuai Huang was with Beijing Normal University, Beijing, China. He is now with the Smart Learning Institute of Beijing Normal University, Beijing, China (e-mail: huangrh@mail.bnu.edu.cn).

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Cite: Jing Du, Liyong Wan, Jingjing Xu, and Ronghuai Huang, "Empirical Research of Motivation on Knowledge Contribution Behavior: A Perspective on Chinese Original Users from Education Multimedia Platform," International Journal of Information and Education Technology vol. 8, no. 6, pp. 443-448, 2018.

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
  • Managing 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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