IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/4010882.html
   My bibliography  Save this article

Review on Intelligent Governance of Physical Fitness of College Students under the Background of Big Data

Author

Listed:
  • Qing Liu
  • Zhenzhi Li
  • Shangli Liu
  • Wen-Tsao Pan

Abstract

The advent of the era of big data has promoted the reform of sports governance, and intelligent governance is becoming a strategic choice and a new trend to promote the physical fitness development of college students. Based on the profound analysis of the current situation of college students’ physical fitness, this study examines the great value of big data for the intelligent governance of physical fitness, and further constructs the model to achieve intelligent governance of college students’ physical fitness. The study also provides specific strategies to promote this process. According to the study, although the current situation of college students’ physical fitness is still not optimistic, data-driven intelligent governance of physical fitness provides a new solution to a personalized, refined, and diversified way of governance. By creating an intelligent governance concept with data thinking, building an intelligent governance platform supported by data, and by such measures as improving the data literacy of physical education teachers in colleges and universities and upgrading stadiums with intelligent techniques, the study seeks to break through the bottleneck of college students’ physical fitness governance and open up a new path to realize the effective governance of college students’ physical fitness.

Suggested Citation

  • Qing Liu & Zhenzhi Li & Shangli Liu & Wen-Tsao Pan, 2022. "Review on Intelligent Governance of Physical Fitness of College Students under the Background of Big Data," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-12, July.
  • Handle: RePEc:hin:jnddns:4010882
    DOI: 10.1155/2022/4010882
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/ddns/2022/4010882.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/ddns/2022/4010882.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/4010882?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnddns:4010882. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.