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    Uno sguardo sulla scuola

    Il Seminario "I dati INVALSI: uno strumento per la ricerca"

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    Contributor(s)
    Falzetti, Patrizia (editor)
    Language
    Italian
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    Abstract
    The second edition of the Seminar "INVALSI data: a tool for research" was held in Florence on 17 and 18 November 2017. The event was an opportunity to meeting and networking among researchers, teachers, school managers and, more generally, all those who have an interest in educational evaluation and the data made available by INVALSI every year. The INVALSI data, in fact, although not claiming to be exhaustive about the complexity of the school world, are useful to understand some educational phenomena more effectively. The INVALSI Statistical Service has decided to collect the numerous research contributions presented on this occasion in specific thematic sessions. This volume contains 13 chapters which, starting from different points of view and using heterogeneous methodological approaches, provide insights into how INVALSI data can contribute to deepening the interpretation of the school world, in its different aspects. The reading path is rich and complex and can serve as a landmark for those wishing to explore some issues concerning the Italian system.
    URI
    http://library.oapen.org/handle/20.500.12657/23259
    Keywords
    statistics; educational tests and measurements; psychometrics; academic achievement; research; policy research; education
    Publisher
    FrancoAngeli
    Publisher website
    https://www.francoangeli.it/Home.aspx
    Publication date and place
    Milan, 2019
    Series
    INVALSI per la ricerca - Open Access, 2
    Classification
    Education
    Pages
    278
    Public remark
    21-7-2020 - No DOI registered in CrossRef for ISBN 9788891794796
    Rights
    http://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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