IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-981-96-9697-0_87.html
   My bibliography  Save this book chapter

Addressing Challenges in Educating Talents in the Digital Era

Author

Listed:
  • Lily Sun

    (University of Reading)

  • Jingshu Ji

    (Beijing University of Technology)

  • Kecheng Liu

    (University of Reading)

Abstract

In today's rapidly evolving digital landscape, evidence and literature consistently underscore the added value of artificial intelligence (AI) in enhancing productivity and fostering business competitiveness. This poses a challenge to the university system, as the industry demands graduates with qualities and competences that align with this new environment. Traditional models of university education must be shifted, requiring changes in curricula, teaching and learning methods, and technologies, as well as critical shifts in underlying learning paradigms. University education must prepare for the new possibilities offered by these available means and technologies, ensuring increased efficiency in learning and enhanced quality of work, while also ensure students acquire the expected knowledge, skills, and competencies. Constructivist paradigms and authentic learning have increasingly garnered attention in university teaching and learning, demonstrating significant benefits. This paper will present, analyse and share insights and successful practices in this regard.

Suggested Citation

  • Lily Sun & Jingshu Ji & Kecheng Liu, 2025. "Addressing Challenges in Educating Talents in the Digital Era," Lecture Notes in Operations Research,, Springer.
  • Handle: RePEc:spr:lnopch:978-981-96-9697-0_87
    DOI: 10.1007/978-981-96-9697-0_87
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:lnopch:978-981-96-9697-0_87. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.