IDEAS home Printed from https://ideas.repec.org/a/axf/journl/v1y2024i2p16-23.html
   My bibliography  Save this article

Artificial Intelligence Empowering the Innovation of Ideological and Political Course Teaching Models in Universities

Author

Listed:
  • Zuo, Wenyao

Abstract

With the rapid development of information technology, AI has permeated education, showing great potential in innovating teaching models. Ideological and Political Courses in universities face challenges like a disconnect between content and student needs, low interaction, and poor engagement, requiring urgent reforms. This study explores AI-enabled approaches such as personalized teaching, intelligent assessment, and VR/AR technologies. It demonstrates that AI can enhance interaction, improve learning experiences, and support teaching quality. Despite challenges like ethics and data privacy, AI’s continued evolution will lead to broader applications, deeper integration, and new momentum for teaching model improvements in these courses.

Suggested Citation

  • Zuo, Wenyao, 2024. "Artificial Intelligence Empowering the Innovation of Ideological and Political Course Teaching Models in Universities," Education Insights, Scientific Open Access Publishing, vol. 1(2), pages 16-23.
  • Handle: RePEc:axf:journl:v:1:y:2024:i:2:p:16-23
    as

    Download full text from publisher

    File URL: https://soapubs.com/index.php/EI/article/view/117/127
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    artificial intelligence; ideological and political courses in universities; teaching model innovation;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General

    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:axf:journl:v:1:y:2024:i:2:p:16-23. 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: Yuchi Liu (email available below). General contact details of provider: https://soapubs.com/index.php/EI .

    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.