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Algorithms of Education - How Datafication and Artificial Intelligence Shape Policy (Hardcover)
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Algorithms of Education - How Datafication and Artificial Intelligence Shape Policy (Hardcover)
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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.
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