skip to main content
10.1145/3545839.3545847acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicomsConference Proceedingsconference-collections
research-article

Analysis of Technology Innovation Diffusion Model and Diffusion Characteristics on Educational Technology: Case Study of MOOC

Published: 10 September 2022 Publication History

Abstract

With the development of educational informatization, the adoption and diffusion of educational technology have become hot research. As educational technology innovation, the MOOC has opened the "Internet + Education" integrated teaching model, and it realized the sharing and diffusion of college educational resources around the world. This paper selects MOOC as the research object and explores the educational technology diffusion, diffusion characteristics, and diffusion process of MOOC based on the innovation diffusion theory. Through the construction of the Bass model, the diffusion process of MOOC in the recent 10 years is analyzed from an objective perspective, and the future diffusion trend of MOOC is predicted.

References

[1]
Liu Hongyu, Fan Wenqiang. Model of the Process of Educational Technology Diffusion in Higher Education Institutions: Based on the Theory of Innovations Diffusion. Modern Educational Technology, 2012, 22(02):28-32.
[2]
Xie Xiaohui. Research in adoption and factors of K12 online education by Urban families. Jiangxi: Jiangxi Normal University, 2020.
[3]
Hsiu Li Liao, His Peng Lu. The role of experience and innovation characteristics in the adoption and continued use of e-learning websites. Computers & Education. 2008, 51(4):1405-1416.
[4]
Yan ZhiMing, Wang ShiChun, Kong XiangWei. Research on the Innovation Diffusion of Education Informatization. China Educational Technology, 2008(12):1-5.
[5]
Zhao Lei. Diffusion of innovation in MOOCs: Essential and analysis framework. Distance Education in China, 2018,(03):45-51+80.
[6]
Rogers E M. Diffusion of Innovations, 5th edition. Simon and Schuster, 2003.
[7]
Siebert H. Regional and Urban Economics. London: Penguin Books, 1969.
[8]
Mehmood Y, Barbieri N, Bonchi F. Modeling adoptions and the stages of the diffusion of innovations. Knowledge and Information Systems, 2016, 1–27.
[9]
Kwon T H, Zmud R W. Unifying the fragmented models of information systems implementation. In Critical issues in information systems research, 1987, 4:227–251.
[10]
Zhai Y, Ding Y, Wang F. Measuring the diffusion of an innovation: A citation analysis. Journal of the Association for Information Science & Technology, 2017, 69(3):368–379.
[11]
Song Ge. The Diffusion Process of Academic Innovation. Journal of Library Science in China, 2015(1):62–75.
[12]
Winston B. Media, technology and society: A history: From the telegraph to the Internet. Routledge, 2002.
[13]
Christakis N A, Fowler J H. Social contagion theory: examining dynamic social networks and human behavior. Statistics in medicine, 2013, 32(4):556–577.
[14]
Zhang BaoJin. Research on the Diffusion of Educational Technology Innovation.Bei Jing: Beijing University of Posts And Telecommunications Press, 2013.
[15]
Dhawal Shah. Year of MOOC-based Degrees: A Review of MOOC Stats and Trends in 2018. (2019-06-06) [2022-04-20]. https://www.classcentral.com/report/moocs-stats-and-trends-2018/.
[16]
Bass F M. A new product growth for model consumer durables. Management Science, 1969, 15(5):215–227.
[17]
He Wei Da, He Dan, Zhang Meng. Research on Dynamic Diffusion of Platform and Its Pricing: Based on BASS model. Journal of Technology Economics, 2010, 29(9):123-128.
[18]
Wang Yan Yu, Xie Wei. A Study on Two-Stage Bass Model of E-Business Imitate Innovation and its Application. Science of Science and Management of S.& T, 2013, 34(002):36-41.
[19]
Fok D, Franses P H. Modeling the diffusion of scientific publications. Journal of Econometrics, 2007, 139(2):376–390.

Index Terms

  1. Analysis of Technology Innovation Diffusion Model and Diffusion Characteristics on Educational Technology: Case Study of MOOC

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    ICoMS '22: Proceedings of the 2022 5th International Conference on Mathematics and Statistics
    June 2022
    137 pages
    ISBN:9781450396233
    DOI:10.1145/3545839
    © 2022 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 10 September 2022

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Bass model
    2. Diffusion characteristics
    3. MOOC
    4. Technology diffusion
    5. The theory of innovation diffusion

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    ICoMS 2022

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 56
      Total Downloads
    • Downloads (Last 12 months)17
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 05 Mar 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media