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

Author

Listed:
  • Flaminia Musella

    (Link Campus University)

  • Paola Vicard

    (Università Roma Tre)

  • Maria Chiara De Angelis

    (Link Campus University)

Abstract

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.

Suggested Citation

  • Flaminia Musella & Paola Vicard & Maria Chiara De Angelis, 2022. "A Bayesian Network Model for Supporting School Managers Decisions in the Pandemic Era," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(3), pages 1445-1465, October.
  • Handle: RePEc:spr:soinre:v:163:y:2022:i:3:d:10.1007_s11205-022-02952-3
    DOI: 10.1007/s11205-022-02952-3
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    References listed on IDEAS

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    1. Flaminia Musella, 2013. "A PC algorithm variation for ordinal variables," Computational Statistics, Springer, vol. 28(6), pages 2749-2759, December.
    2. Kalisch, Markus & Mächler, Martin & Colombo, Diego & Maathuis, Marloes H. & Bühlmann, Peter, 2012. "Causal Inference Using Graphical Models with the R Package pcalg," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i11).
    3. Karl E. Weick & Kathleen M. Sutcliffe & David Obstfeld, 2005. "Organizing and the Process of Sensemaking," Organization Science, INFORMS, vol. 16(4), pages 409-421, August.
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