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Spanning knowledge boundaries with ChatGPT: an analysis of the role of generative artificial intelligence in the production of master thesis
[Traverser les frontières de connaissances avec ChatGPT : analyse du rôle de l’intelligence artificielle générative dans la réalisation du mémoire de master]

Author

Listed:
  • Fabienne Garcia

    (VALLOREM - Val de Loire Recherche en Management - UO - Université d'Orléans - UT - Université de Tours)

  • Laurent Chevalier

    (VALLOREM - Val de Loire Recherche en Management - UO - Université d'Orléans - UT - Université de Tours, Institut d'Administration des Entreprises (IAE) - Tours)

Abstract

The widespread adoption of generative artificial intelligence (AI) among students has disrupted their practices, notably when producing master thesis, and has raised ethical issues. This qualitative study conducted with both students and teachers provides a better understanding of students' hybrid productions and how they are perceived by teachers. Drawing on the theory of boundary objects and boundary spanners, our findings highlight the new interactions and a critical analysis of the tensions involved in this process. We formulate proposals for integrating this new actor (AI), regulating practices and changing assessments to resolve these tensions putting teachers back at the heart of knowledge integration process.

Suggested Citation

  • Fabienne Garcia & Laurent Chevalier, 2025. "Spanning knowledge boundaries with ChatGPT: an analysis of the role of generative artificial intelligence in the production of master thesis [Traverser les frontières de connaissances avec ChatGPT ," Post-Print hal-05303793, HAL.
    • Handle: RePEc:hal:journl:hal-05303793
    DOI: 10.3917/mav.148.0021
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