Abstract Book of the 9th International Conference on Research in Education
Year: 2025
DOI:
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The “Personalized Training of Professional Competences with AI” Project: Main Results
Alessio Bottrighi, Luigi Castello, Emanuela Girardi, Antonio Maconi, Stefano Nera, Marco Petronio, Luca Piovesan, Erica Raina, Annalisa Roveta, Paolo Terenziani, Francesca Ugo
ABSTRACT:
On the basis of our 30-year experience with the GLARE (Guideline Acquisition, Representation and Execution) decision support system, we are analyzing the adoption of computer-interpretable clinical guidelines and Artificial Intelligence techniques to complement medical education. The main goal of the project is to design, implement, test and evaluate “symbolic” Artificial Intelligence methodologies to teach medical students how to act on virtual patients (case studies) following the best evidence-based procedures contained in clinical guidelines. Moving from decision support to the educational task involves significant research challenges, that have not been fully explored by the AI in medicine literature. We are addressing them in a large two-year project started in May 2023, in a strict cooperation between the Computer Science group of our University in Alessandria, the Hospital in Alessandria and Pop-AI, a no profit organization in Turin for AI dissemination. In the project (i) we have devised original support tools for guideline simulation and students’ (self-)testing (ii) we have acquired in computer format two clinical guidelines (about melanoma and dyslipidemia) and several case studies (iii) we are currently adopting such supports in a six-month course for University medical students, attended by 50 students split in a class adopting the new supports, and a control class, and (iv) we have performed a starting evaluation and a mid-term evaluation of the results of students.
keywords: artificial intelligence supports for medical education, e-learning, experimental evaluation, health education