L’enseignant de demain dans le supérieur: architecte des savoirs à l’ère de l’IA générative
Marie-Christine Chalus-Sauvannet and
Cécile Godé ()
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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
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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.
Keywords: higher education and research; generative artificial intelligence; pedagogy; management and business science; transformation; Enseignement supérieur et Recherche; intelligence artificielle générative; pédagogie; sciences de gestion et du management (search for similar items in EconPapers)
Date: 2025-10-13
Note: View the original document on HAL open archive server: https://hal.science/hal-05321427v1
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Published in Projectics / Proyéctica / Projectique, 2025, 41 (3), pp.141-154. ⟨10.3917/proj.041.0141⟩
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05321427
DOI: 10.3917/proj.041.0141
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