Algorithms of education how datafication and artificial intelligence shape policy / Kalervo N. Gulson, Sam Sellar, 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]
Description1 online resource
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
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Genre/formElectronic books.
LCCN 2021061647
ISBN9781452964720 epub
ISBNlibrary binding
ISBNpaperback

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available