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        INVALSI data to investigate the characteristics of students, school, and society

        IV seminar "INVALSI data: a research and educational teaching tool"

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        Contributor(s)
        Falzetti, Patrizia (editor)
        Language
        English
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        Abstract
        Data are precious resources and as such an asset of the community. Collected, ordered, studied data become a tool that allows us to open debates and make most useful decisions. The INVALSI Statistical Service followed up, on this premise, with the organization of the IV Seminar “INVALSI data: a tool for teaching and scientific research”. The Institute’s databases, in fact, allow researchers and teachers to investigate in depth the theme of education in schools from different points of view and the event allows them to participate in a lively confrontation on the subject. The authors of the contributions collected in this volume investigate in depth the characteristics of students, schools and society. As a Statistical Service we hope that the reading of the volume confirms what has been written on the importance of data and their use, which will allow an ever-growing audience to enrich their knowledge on the subject of education and be a means of giving life to always new ideas for further reflection.
        URI
        https://library.oapen.org/handle/20.500.12657/53639
        Keywords
        Educational data, teaching, educational tools, teaching methodologies, training needs
        ISBN
        9788835131076, 9788835131076
        Publisher
        FrancoAngeli
        Publisher website
        https://www.francoangeli.it/Home.aspx
        Publication date and place
        Milan, 2021
        Series
        INVALSI per la Ricerca,
        Classification
        Educational strategies and policy
        Educational administration and organization
        Teaching staff
        Pages
        129
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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