A Bayesian Network Model for Supporting School Managers Decisions in the Pandemic Era
- Resource Type
- Authors
- Flaminia Musella; Paola Vicard; Maria Chiara De Angelis
- Source
- Social indicators research. 163(3)
- Subject
- Sociology and Political Science
Arts and Humanities (miscellaneous)
Developmental and Educational Psychology
General Social Sciences
Bayesian networks, Digital-divide, Evidence sensitivity, Italian school, Organizational aspects, Value of information, What-if-analysis
- Language
- ISSN
- 0303-8300
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.