A Bayesian Network Model for Supporting School Managers Decisions in the Pandemic Era

Autor: Flaminia Musella, Paola Vicard, Maria Chiara De Angelis
Přispěvatelé: Musella, Flaminia, Vicard, Paola, Chiara De Angelis, Maria
Rok vydání: 2022
Předmět:
Zdroj: Social indicators research. 163(3)
ISSN: 0303-8300
Popis: 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 digital-divide 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.
Databáze: OpenAIRE