Abstract
The paper describes the first deployment phases of the HIN (Health Issue Network) approach as innovative learning technology for both the Departments of Veterinary Medicine and Animal Productions and of Public Health of the “Federico II” University of Naples. To test this approach, the researchers involved were called to translate clinical cases from their professional experiences by means of a friendly version of HIN’s Petri Nets-based formalism, called f-HINe. A specific software learning environment (fHINscene) was also tested, which allows drawing a f-HINe diagram, as well as designing clinical exercises for medical students according to the Case-Based Learning approach. The results of the tests proved the importance of having a synthetic graphic representation able to analyze complex clinical cases and encouraging inquiry-based learning methods.
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Acknowledgements
This research was partially supported by the Board of Directors of the University of Naples Federico II through the FEDERICO project (Innovation in education for tenure-track researchers, grant EO/2020/933 of 11/06/2020) funded by University of Naples Federico II.
Authors wish to thank the researchers and professors from “Federico II” University (M. D’Ambra, L. D’Angelo, G. Della Valle, P. Gargiulo, M. Gizzarelli, J. Guccione, R. Marrone, M.P. Maurelli) for the support provided in testing and validating both the HIN approach, and the fHINscene software.
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Tamburis, O., Ricci, F.L., Consorti, F., Pecoraro, F., Luzi, D. (2022). Innovative Learning Technologies as Support to Clinical Reasoning in Medical Sciences: The Case of the “FEDERICO II” University. In: Abraham, A., Gandhi, N., Hanne, T., Hong, TP., Nogueira Rios, T., Ding, W. (eds) Intelligent Systems Design and Applications. ISDA 2021. Lecture Notes in Networks and Systems, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-96308-8_57
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