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    INVALSI data: methodologies and results

    III Seminar "INVALSI data: a reasearch tool"

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    Contributor(s)
    Falzetti, Patrizia (editor)
    Language
    English
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    Abstract
    Over the years, interest in data has always grown and, aware of their centrality, many institutions, both public and private, share their data to facilitate the work of all those who wish to use them to interpret phenomena. In the education field, the data produced by INVALSI undoubtedly have a leading role, both at a sample and census level. The availability of data on learning achievements and living conditions of students (the so-called “context data”), as well as on the professional and operational conditions of teachers and School Managers, collected through specific questionnaires, is a valuable source of information based on which it is possible not only to plan improvement interventions in the didactic field, but also to undertake stimulating paths of educational research. This volume hosts four research papers, presented within the III Seminar “INVALSI data: a research tool”, which took place in Bari from 26 to 28 October 2018. Thanks to the INVALSI data, the authors conducted interesting in-depth analysis of various aspects relating to the Italian education system.
    URI
    https://library.oapen.org/handle/20.500.12657/53648
    Keywords
    Data, education reasearch, learning achievements, education system, teachers&school managers&students
    ISBN
    9788835113850, 9788835113850
    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
    96
    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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