IDEAS home Printed from https://ideas.repec.org/a/axf/journl/v1y2024i1p1-7.html
   My bibliography  Save this article

Integrating Artificial Intelligence in Smart Course Design: Innovative Teaching Methods for Talent Cultivation in Higher Education

Author

Listed:
  • Song, Junjie

Abstract

This paper investigates the integration of artificial intelligence (AI) in smart course design and its impact on transforming teaching methods and talent cultivation in higher education. As educational paradigms evolve with technological advancements, AI presents innovative solutions for enhancing learning experiences. The study explores how AI can revolutionize smart courses by providing adaptive learning environments, delivering personalized feedback, and supporting modern teaching methods such as collaborative learning, gamification, and immersive technologies like virtual and augmented reality. Through AI, educators can address diverse learning needs, increase student engagement, and foster critical thinking and problem-solving skills. The paper also examines challenges related to AI in education, including technological, pedagogical, and ethical issues. Additionally, it considers the implications of AI-driven education for preparing students for the future workforce and developing necessary skills. The findings emphasize AI's transformative potential in higher education while acknowledging the importance of addressing concerns related to access, equity, and data privacy. This study offers a comprehensive overview of the current landscape and provides recommendations for future research to optimize AI's benefits in educational settings.

Suggested Citation

  • Song, Junjie, 2024. "Integrating Artificial Intelligence in Smart Course Design: Innovative Teaching Methods for Talent Cultivation in Higher Education," Education Insights, Scientific Open Access Publishing, vol. 1(1), pages 1-7.
  • Handle: RePEc:axf:journl:v:1:y:2024:i:1:p:1-7
    as

    Download full text from publisher

    File URL: https://soapubs.com/index.php/EI/article/view/33/26
    Download Restriction: no
    ---><---

    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:1:p:1-7. 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.