IDEAS home Printed from https://ideas.repec.org/a/igg/jismd0/v16y2025i1p1-20.html
   My bibliography  Save this article

Remote Competency Evaluation for College Physical Educators Using Multimedia Feature Extraction

Author

Listed:
  • Hua Lv

    (Henan University of Technology, China)

Abstract

In view of the important position of physical education curriculum in higher education in China and its role in cultivating practical talents with high physical quality, this paper puts forward a non-contact evaluation model of college physical education teachers' ability based on multimedia feature extraction. Fuzzy analytic hierarchy process is used to deal with the uncertainty and fuzziness in the evaluation process to reflect the actual situation more accurately. The study deeply analyzes the professional knowledge, teaching skills, teamwork ability, and innovative thinking of college physical education teachers and discusses the specific influence of these characteristics on the model performance. This study not only constructs a comprehensive structure of college physical education teachers' ability but also provides strong technical support and a decision-making basis for the cultivation of college physical education talents, which helps improve the teaching quality and the development of students' comprehensive quality.

Suggested Citation

  • Hua Lv, 2025. "Remote Competency Evaluation for College Physical Educators Using Multimedia Feature Extraction," International Journal of Information System Modeling and Design (IJISMD), IGI Global, vol. 16(1), pages 1-20, January.
    • Handle: RePEc:igg:jismd0:v:16:y:2025:i:1:p:1-20
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISMD.384800
    Download Restriction: no
    ---><---

    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:igg:jismd0:v:16:y:2025:i:1:p:1-20. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.