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eBook
Algorithms of Education
2022
Overview
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.
Publisher
University of Minnesota Press
Subject
ISBN
1517910250, 9781517910259
