University education for healthcare professionals is currently facing in creasing clinical complexity, rapid scientific development, and growing demands for quality and patient safety. In this context, traditional lec ture-based teaching approaches often prove insufficient to foster com plex professional competences. This paper presents an innovative educational model integrating realistic simulation, inquiry-based lear ning, and generative artificial intelligence through faculty avatars. The proposed approach combines a solid pedagogical framework with an operational model already tested in academic settings, showing how avatars can extend faculty presence within digital and simulated envi ronments, fostering active learning, clinical reasoning, and metacogni tive reflection. The paper concludes by discussing implications, limitations, and future perspectives, particularly in relation to conti nuing medical education.

Undergraduate research: innovazione, sfide e prospettive

stefano basso
Co-first
;
simona perino
Co-first
;
maurizio barra
Co-first
;
valentino quarta
Co-first
;
massimo crestani
Co-first
2026-01-01

Abstract

University education for healthcare professionals is currently facing in creasing clinical complexity, rapid scientific development, and growing demands for quality and patient safety. In this context, traditional lec ture-based teaching approaches often prove insufficient to foster com plex professional competences. This paper presents an innovative educational model integrating realistic simulation, inquiry-based lear ning, and generative artificial intelligence through faculty avatars. The proposed approach combines a solid pedagogical framework with an operational model already tested in academic settings, showing how avatars can extend faculty presence within digital and simulated envi ronments, fostering active learning, clinical reasoning, and metacogni tive reflection. The paper concludes by discussing implications, limitations, and future perspectives, particularly in relation to conti nuing medical education.
2026
Undergraduate research: innovazione, sfide e prospettive
Pensa Editore
University, Teaching & Research
365
375
9791255685036
formazione sanitaria, simulazione, inquiry-based learning, intelligenza artificiale, avatar docenti.
stefano basso; simona perino; maurizio barra; valentino quarta; massimo crestani
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Descrizione: modello innovativo per la formazione sanitaria che integra simulazione realistica, inquiry-based learning e intelligenza artificiale mediante avatar-docenti. L’obiettivo è favorire apprendimento attivo, ragionamento clinico, riflessione metacognitiva e formazione continua dei professionisti sanitari.
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Descrizione: Monografia completa
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2153471
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