IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05321427.html
   My bibliography  Save this paper

L’enseignant de demain dans le supérieur : architecte des savoirs à l’ère de l’IA générative

Author

Listed:
  • Marie-Christine Chalus-Sauvannet

    (MAGELLAN - Laboratoire de Recherche Magellan - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - Institut d'Administration des Entreprises (IAE) - Lyon)

  • Cécile Godé

    (CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon)

Abstract

Since the public release of ChatGPT in 2022, generative artificial intelligence (GenAI) has been profoundly transforming higher education in management. Based on a qualitative study conducted with faculty members, this article analyzes emerging pedagogical uses of GenAI: course design, instructional delivery, and student assessment. GenAI supports the individualization of learning, the development of interactive materials, and the evolution of curriculum frameworks. However, these opportunities also come with significant challenges: superficial learning, dependence on the tool, content uniformity, and ethical and data security risks. The article advocates for a reflective and critical approach to GenAI usage. It emphasizes that while GenAI cannot replace the human dimension of teaching, it can serve as a powerful lever to reinvent pedagogical practices—provided its use is collectively framed. In this context, the teacher is called upon to become an "architect of knowledge" within a rapidly evolving technological environment.

Suggested Citation

  • Marie-Christine Chalus-Sauvannet & Cécile Godé, 2025. "L’enseignant de demain dans le supérieur : architecte des savoirs à l’ère de l’IA générative," Post-Print hal-05321427, HAL.
    • Handle: RePEc:hal:journl:hal-05321427
    DOI: 10.3917/proj.041.0141
    Note: View the original document on HAL open archive server: https://hal.science/hal-05321427v1
    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:hal:journl:hal-05321427. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.