Algorithms of education how datafication and artificial intelligence shape policy / Kalervo N. Gulson, Sam Sellar, and P. Taylor Webb.

Author/creator Gulson, Kalervo N.
Other author Sellar, Sam.
Other author Webb, P. Taylor.
Format Electronic
Publication InfoMinneapolis : University of Minnesota Press, 2022.
Description190 pages ; 24 cm
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

Contents Introduction : synthetic governance : algorithms in education -- Governing : networks, artificial Intelligence, and anticipation -- Thought : acceleration, automated thinking, and uncertainty -- Problems : concept work, ethnography, and policy mobility -- Infrastructure : interoperability, datafication, and extrastatecraft -- Patterns : facial recognition and the human in the loop -- Automation : data science, optimization, and new values -- Synthetic politics : responding to algorithms in education.
Abstract "Exploring case studies of data infrastructures, facial recognition, and the use of data science in education, Algorithms of Education maps the political and methodological directions for engaging with datafication and artificial intelligence in education governance. According to the authors, we must go beyond debates that separate humans and machines to develop new strategies for, and a new politics of, education"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2021061646
ISBN9781517910242 (library binding)
ISBN9781517910259 (paperback)
ISBN(ebook)

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Electronic Resources Access Content Online ✔ Available