Due to the dramatic health situation caused by the COVID-19 pandemic, in Italy the emergency remote teaching lasted longer than in other countries. The mandatory teaching modalities have required digital transformation processes in a framework where digitaldivide is one of the limitations to school modernization. We believe that the experience can promote a deeper formatting of organizational process. The paper shows results of a multitarget research carried out during the Italian lockdown aiming at animating the debate around school from multi-actors perspectives and at supporting policies. The paper aims at showing the potentiality of a multivariate statistical method as a tool supporting school managers in identifying those challenges they have to face to improve the setting up of internal processes. The main result is a model supporting the decision making process at orienting school managers strategies.
Musella, F., Vicard, P., & Chiara De Angelis, M. (2022). A Bayesian Network Model for Supporting School Managers Decisions in the Pandemic Era. SOCIAL INDICATORS RESEARCH [10.1007/s11205-022-02952-3].
Titolo: | A Bayesian Network Model for Supporting School Managers Decisions in the Pandemic Era | |
Autori: | ||
Data di pubblicazione: | 2022 | |
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Citazione: | Musella, F., Vicard, P., & Chiara De Angelis, M. (2022). A Bayesian Network Model for Supporting School Managers Decisions in the Pandemic Era. SOCIAL INDICATORS RESEARCH [10.1007/s11205-022-02952-3]. | |
Handle: | http://hdl.handle.net/11590/408979 | |
Appare nelle tipologie: | 1.1 Articolo in rivista |