Bayesian networks for supporting the digitization process in Italian schools

The wide but unbalanced spread of ICT determines a digital divide and instantiates a discussion about digital and media literacy that are necessary, nowadays, for understanding texts, formats and connection templates characterizing several communication channels in the knowledge society. The digital society requires to the school to strategically approach new teaching methods and practices aiming at continuous skill updating and at digital competencies training. In opposition with the most popular theories of school immobility, the hypothesis of this research is the occurrence of workshops of research and educational novelty in Italian schools. The main goal of this research is to understand such a kind of innovations: firstly a qualitative approach has been adopted to catch the improvement margins and then a survey has been carried out by a structured questionnaire for analysing the expectations and the perceptions of teachers.  Whilst the analysis of gathered data provides a snapshot of the current situation, a statistical model based on Bayesian networks will enable to recognize those social innovations to be considered as best practices and will help in selecting the key strategies, by performing probabilistic scenarios, to support the policies on the school system digitization.