Algorithms of Education | How Datafication and Artificial Intelligence Shape Policy

Kalervo N. Gulson (u. a.)

ISBN 10: 1517910250 / ISBN 13: 9781517910259

Published by University of Minnesota Press, 2022

About this Item

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.

Seller Inventory # 121132904

Bibliographic Details

• Title: Algorithms of Education | How Datafication and Artificial Intelligence Shape Policy
• Publisher: University of Minnesota Press
• Publication Date: 2022
• Language: English
• ISBN 10: 1517910250
• ISBN 13: 9781517910259
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 140W x 216H x 17D millimeters 140 millimeters width by 216 millimeters height by 17 millimeters depth
• Weight: 284 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

Kalervo 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 Policy and Racial Biopolitics in Multicultural Cities. 

Sam Sellar is professor in education policy at the University of South Australia. Most recently he coedited the World Yearbook of Education 2019: Comparative Methodology in the Era of Big Data and Global Networks.

P. Taylor Webb is associate professor in the Department of Educational Studies at the University of British Columbia. He is coauthor of, among others, Education Policy and Racial Biopolitics in Multicultural Cities.