IDEAS home Printed from https://ideas.repec.org/a/igg/jitn00/v17y2025i1p1-17.html
   My bibliography  Save this article

Online and Offline Teaching Mode of Art Design Based on Big Data Environment and Edge Computing Network

Author

Listed:
  • Xiangkun Zhao

    (Pingdingshan Polytechnic College, China)

Abstract

As one of the most innovative teaching methods in contemporary times, online and offline teaching methods have diversified teaching resources, learning methods, and higher teaching efficiency compared to previous teaching methods. At present, the teaching methods of art and design majors in China focus on the infiltration of traditional design concepts and the cultivation of modeling techniques, and the teaching effect is not ideal. Therefore, based on the rapid development of big data, the author attempts to construct a teaching model that combines online and offline teaching, and provides a detailed analysis of the specific operational process of its practical application. Through this teaching model, students can not only enhance their creativity in art and design, but also accumulate more theoretical knowledge about practical applications in their major. This work provides important application guidance for intelligent edge cache, computing offload and edge computing network.

Suggested Citation

  • Xiangkun Zhao, 2025. "Online and Offline Teaching Mode of Art Design Based on Big Data Environment and Edge Computing Network," International Journal of Interdisciplinary Telecommunications and Networking (IJITN), IGI Global, vol. 17(1), pages 1-17, January.
    • Handle: RePEc:igg:jitn00:v:17:y:2025:i:1:p:1-17
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJITN.383055
    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:jitn00:v:17:y:2025:i:1:p:1-17. 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.