Isbn: 9781517910259 - algorithms of education: how datafication and artificial intelligence shape policy (27 risultati)

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  • Lingua: Inglese

    Editore: University of Minnesota Press, 2022

    1517910250 / 9781517910259

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  • Lingua: Inglese

    Editore: University of Minnesota Press, 2022

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    Editore: University of Minnesota Press, 2022

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    Editore: University of Minnesota Press, 2022

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  • Lingua: Inglese

    Editore: University of Minnesota Press, 2022

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  • Lingua: Inglese

    Editore: University of Minnesota Press, US, 2022

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    Paperback. Condizione: New. A critique of what lies behind the use of data in contemporary education policy   While the science fiction tales of artificial intelligence eclipsing humanity are still very much fantasies, in Algorithms of Education the authors tell real stories of how algorithms and machines are transforming education governance, providing a fascinating discussion and critique of data and its role in education policy.Algorithms of Education explores how, for policy makers, today's ever-growing amount of data creates the illusion of greater control over the educational futures of students and the work of school leaders and teachers. In fact, the increased datafication of education, the authors argue, offers less and less control, as algorithms and artificial intelligence further abstract the educational experience and distance policy makers from teaching and learning. Focusing on the changing conditions for education policy and governance, Algorithms of Education proposes that schools and governments are increasingly turning to "synthetic governance"-a governance where what is human and machine becomes less clear-as a strategy for optimizing education.Exploring case studies of data infrastructures, facial recognition, and the growing use of data science in education, Algorithms of Education draws on a wide variety of fields-from critical theory and media studies to science and technology studies and education policy studies-mapping the political and methodological directions for engaging with datafication and artificial intelligence in education governance. According to the authors, we must go beyond the debates that separate humans and machines in order to develop new strategies for, and a new politics of, education.

  • Lingua: Inglese

    Editore: MP - University Of Minnesota Press, 2022

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    Editore: University of Minnesota Press, Minnesota, 2022

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    Paperback. Condizione: new. Paperback. A critique of what lies behind the use of data in contemporary education policyWhile the science fiction tales of artificial intelligence eclipsing humanity are still very much fantasies, in Algorithms of Education the authors tell real stories of how algorithms and machines are transforming education governance, providing a fascinating discussion and critique of data and its role in education policy.Algorithms of Education explores how, for policy makers, today's ever-growing amount of data creates the illusion of greater control over the educational futures of students and the work of school leaders and teachers. In fact, the increased datafication of education, the authors argue, offers less and less control, as algorithms and artificial intelligence further abstract the educational experience and distance policy makers from teaching and learning. Focusing on the changing conditions for education policy and governance, Algorithms of Education proposes that schools and governments are increasingly turning to "synthetic governance"-a governance where what is human and machine becomes less clear-as a strategy for optimizing education.Exploring case studies of data infrastructures, facial recognition, and the growing use of data science in education, Algorithms of Education draws on a wide variety of fields-from critical theory and media studies to science and technology studies and education policy studies-mapping the political and methodological directions for engaging with datafication and artificial intelligence in education governance. According to the authors, we must go beyond the debates that separate humans and machines in order to develop new strategies for, and a new politics of, education. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Lingua: Inglese

    Editore: University of Minnesota Press, 2022

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    Editore: University Of Minnesota Press, 2022

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    Editore: University of Minnesota Press, 2022

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    Editore: University Of Minnesota Press 2022-05-03, 2022

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    Editore: University of Minnesota Press, 2022

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  • Lingua: Inglese

    Editore: University of Minnesota Press, 2022

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    Paperback. Condizione: new. Paperback. A critique of what lies behind the use of data in contemporary education policy While the science fiction tales of artificial intelligence eclipsing humanity are still very much fantasies, in Algorithms of Education the authors tell real stories of how algorithms and machines are transforming education governance, providing a fascinating discussion and critique of data and its role in education policy.Algorithms of Education explores how, for policy makers, todays ever-growing amount of data creates the illusion of greater control over the educational futures of students and the work of school leaders and teachers. In fact, the increased datafication of education, the authors argue, offers less and less control, as algorithms and artificial intelligence further abstract the educational experience and distance policy makers from teaching and learning. Focusing on the changing conditions for education policy and governance, Algorithms of Education proposes that schools and governments are increasingly turning to synthetic governancea governance where what is human and machine becomes less clearas a strategy for optimizing education.Exploring case studies of data infrastructures, facial recognition, and the growing use of data science in education, Algorithms of Education draws on a wide variety of fieldsfrom critical theory and media studies to science and technology studies and education policy studiesmapping the political and methodological directions for engaging with datafication and artificial intelligence in education governance. According to the authors, we must go beyond the debates that separate humans and machines in order to develop new strategies for, and a new politics of, education. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Lingua: Inglese

    Editore: University of Minnesota Press, 2022

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  • Lingua: Inglese

    Editore: University of Minnesota Press, 2022

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    Condizione: New. &Uumlber den AutorKalervo N. Gulson is professor in education policy at the University of Sydney. He is author of Education Policy, Space, and the City: Markets and the (In)visibility of Race and coauthor of Education Polic.

  • Lingua: Inglese

    Editore: University of Minnesota Press, 2022

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    Taschenbuch. Condizione: Neu. Algorithms of Education | How Datafication and Artificial Intelligence Shape Policy | Kalervo N. Gulson (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | University of Minnesota Press | EAN 9781517910259 | Verantwortliche Person für die EU: Mare Nostrum Group B.V., Doelen 72, 4831 GR BREDA, NIEDERLANDE, gpsr[at]mare-nostrum[dot]co[dot]uk | Anbieter: preigu.

  • Lingua: Inglese

    Editore: University of Minnesota Press, US, 2022

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    Paperback. Condizione: New. A critique of what lies behind the use of data in contemporary education policy   While the science fiction tales of artificial intelligence eclipsing humanity are still very much fantasies, in Algorithms of Education the authors tell real stories of how algorithms and machines are transforming education governance, providing a fascinating discussion and critique of data and its role in education policy.Algorithms of Education explores how, for policy makers, today's ever-growing amount of data creates the illusion of greater control over the educational futures of students and the work of school leaders and teachers. In fact, the increased datafication of education, the authors argue, offers less and less control, as algorithms and artificial intelligence further abstract the educational experience and distance policy makers from teaching and learning. Focusing on the changing conditions for education policy and governance, Algorithms of Education proposes that schools and governments are increasingly turning to "synthetic governance"-a governance where what is human and machine becomes less clear-as a strategy for optimizing education.Exploring case studies of data infrastructures, facial recognition, and the growing use of data science in education, Algorithms of Education draws on a wide variety of fields-from critical theory and media studies to science and technology studies and education policy studies-mapping the political and methodological directions for engaging with datafication and artificial intelligence in education governance. According to the authors, we must go beyond the debates that separate humans and machines in order to develop new strategies for, and a new politics of, education.

  • Lingua: Inglese

    Editore: University Of Minnesota Press Mai 2022, 2022

    1517910250 / 9781517910259

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A critique of what lies behind the use of data in contemporary education policy While the science fiction tales of artificial intelligence eclipsing humanity are still very much fantasies, in Algorithms of Education the authors tell real stories of how algorithms and machines are transforming education governance, providing a fascinating discussion and critique of data and its role in education policy.Algorithms of Education explores how, for policy makers, today's ever-growing amount of data creates the illusion of greater control over the educational futures of students and the work of school leaders and teachers. In fact, the increased datafication of education, the authors argue, offers less and less control, as algorithms and artificial intelligence further abstract the educational experience and distance policy makers from teaching and learning. Focusing on the changing conditions for education policy and governance, Algorithms of Education proposes that schools and governments are increasingly turning to 'synthetic governance'-a governance where what is human and machine becomes less clear-as a strategy for optimizing education.Exploring case studies of data infrastructures, facial recognition, and the growing use of data science in education, Algorithms of Education draws on a wide variety of fields-from critical theory and media studies to science and technology studies and education policy studies-mapping the political and methodological directions for engaging with datafication and artificial intelligence in education governance. According to the authors, we must go beyond the debates that separate humans and machines in order to develop new strategies for, and a new politics of, education. 200 pp. Englisch.

  • Lingua: Inglese

    Editore: University Of Minnesota Press, 2022

    1517910250 / 9781517910259

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A critique of what lies behind the use of data in contemporary education policy While the science fiction tales of artificial intelligence eclipsing humanity are still very much fantasies, in Algorithms of Education the authors tell real stories of how algorithms and machines are transforming education governance, providing a fascinating discussion and critique of data and its role in education policy.Algorithms of Education explores how, for policy makers, today's ever-growing amount of data creates the illusion of greater control over the educational futures of students and the work of school leaders and teachers. In fact, the increased datafication of education, the authors argue, offers less and less control, as algorithms and artificial intelligence further abstract the educational experience and distance policy makers from teaching and learning. Focusing on the changing conditions for education policy and governance, Algorithms of Education proposes that schools and governments are increasingly turning to 'synthetic governance'-a governance where what is human and machine becomes less clear-as a strategy for optimizing education.Exploring case studies of data infrastructures, facial recognition, and the growing use of data science in education, Algorithms of Education draws on a wide variety of fields-from critical theory and media studies to science and technology studies and education policy studies-mapping the political and methodological directions for engaging with datafication and artificial intelligence in education governance. According to the authors, we must go beyond the debates that separate humans and machines in order to develop new strategies for, and a new politics of, education.