Tecnologie di supporto alle decisioni dei dirigenti scolastici

Data-driven decision making in education refers to the collection, analysis and interpretation phases at the institution level to gener- ate knowledge, practices and educational interventions. More spe- cifically, in these complex social systems that inevitably change over time, data are generated by a multitude of interconnected ac- tors: managers, teachers, students, parents, territory, infrastructure, etc. and can be collected mainly at two levels: at the level of teach- ing, learning and assessment practices within the institution; at the organizational development level of the school. For school govern- ance, research has developed two fundamental approaches: Learn- ing Analytics which mainly aim to provide decision support for the micro level and Academic Analytics which aim to provide deci- sion support at the intermediate level. In both cases, however, in a strictly scholastic context, there are no cases of success. School principals, in fact, require support based on holistic data, given the complex nature of schools. Since it is clear that the two existing strands are not suitable for school leadership, this work proposes an approach that aims to facilitate the governance of school com- plexity by offering a simple and fast system capable of monitoring the progress of school processes and to support their management with an integrated set of functions and services of communication, collaboration, data analysis, skills management, to better address the problems inherent to their delicate managerial function and to staff, teachers, students who live the reality school every day.