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Algorithms of education : how datafication and artificial intelligence shape policy /
"Book Description: 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 machine...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Minneapolis, MN :
University of Minnesota Press,
[2022]
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | JSTOR_on1310341637 | ||
| 003 | OCoLC | ||
| 005 | 20231005004200.0 | ||
| 006 | m o d | ||
| 007 | cr unu---unuuu | ||
| 008 | 220409s2022 mnua ob 001 0 eng d | ||
| 040 | |a EBLCP |b eng |e rda |e pn |c EBLCP |d EBLCP |d JSTOR |d OCLCF |d ORU |d OCLCQ | ||
| 020 | |a 9781452964713 | ||
| 020 | |a 1452964718 | ||
| 020 | |z 9781517910242 |q (hardcover) | ||
| 020 | |z 9781517910259 |q (paperback) | ||
| 035 | |a (OCoLC)1310341637 | ||
| 037 | |a 22573/ctv2fzbmxk |b JSTOR | ||
| 050 | 4 | |a LB2846 | |
| 072 | 7 | |a EDU |x 001000 |2 bisacsh | |
| 072 | 7 | |a EDU |x 040000 |2 bisacsh | |
| 082 | 0 | 4 | |a 371.334 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Gulson, Kalervo N., |e author. | |
| 245 | 1 | 0 | |a Algorithms of education : |b how datafication and artificial intelligence shape policy / |c Kalervo N. Gulson, Sam Sellar, and P. Taylor Webb. |
| 260 | |a Minneapolis, MN : |b University of Minnesota Press, |c [2022] | ||
| 300 | |a 1 online resource (190 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Print version record and online resource (JSTOR, viewed Novembeer 14, 2022). | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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. | |
| 520 | 0 | |a "Book Description: 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."-- |c Provided by publisher. | |
| 590 | |a JSTOR |b Books at JSTOR All Purchased | ||
| 590 | |a JSTOR |b Books at JSTOR Demand Driven Acquisitions (DDA) | ||
| 650 | 0 | |a Education |x Mathematical models. | |
| 650 | 0 | |a Education |x Data processing. | |
| 650 | 0 | |a Artificial intelligence |x Educational applications. | |
| 650 | 7 | |a EDUCATION / Administration / General |2 bisacsh | |
| 650 | 7 | |a Artificial intelligence |x Educational applications. |2 fast |0 (OCoLC)fst00817257 | |
| 650 | 7 | |a Education |x Data processing. |2 fast |0 (OCoLC)fst00902579 | |
| 650 | 7 | |a Education |x Mathematical models. |2 fast |0 (OCoLC)fst00902702 | |
| 700 | 1 | |a Sellar, Sam, |e author. | |
| 700 | 1 | |a Webb, P. Taylor, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Gulson, Kalervo N. |t Algorithms of education |d Minneapolis : University of Minnesota Press, 2022 |z 9781517910242 |w (DLC) 2021061646 |
| 856 | 4 | 0 | |u https://jstor.uam.elogim.com/stable/10.5749/j.ctv2fzkpxp |z Texto completo |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL6944914 | ||
| 994 | |a 92 |b IZTAP | ||