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Algorithms of Education: How Datafication and Artificial Intelligence Shape Policy, Kalervo N. Gulson, P. Taylor Webb, Sam Sellar


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Автор: Kalervo N. Gulson, P. Taylor Webb, Sam Sellar
Название:  Algorithms of Education: How Datafication and Artificial Intelligence Shape Policy
ISBN: 9781517910242
Издательство: Mare Nostrum (Eurospan)
Классификация:

ISBN-10: 1517910242
Обложка/Формат: Hardback
Страницы: 200
Вес: 0.24 кг.
Дата издания: 17.05.2022
Язык: English
Иллюстрации: 6 b&w illustrations
Размер: 216 x 140 x 13
Ключевые слова: Organization & management of education,Philosophy & theory of education, EDUCATION / Administration / General,EDUCATION / Philosophy & Social Aspects
Подзаголовок: How datafication and artificial intelligence shape policy
Рейтинг:
Поставляется из: Англии
Описание: 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.
Дополнительное описание: Philosophy and theory of education|Educational administration and organization



Education policy and racial biopolitics in multicultural cities

Автор: Gulson, Kalervo N. Webb, P. Taylor
Название: Education policy and racial biopolitics in multicultural cities
ISBN: 1447320077 ISBN-13(EAN): 9781447320074
Издательство: Marston Book Services
Рейтинг:
Цена: 13860.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Gulson and Webb show how school choice can represent and manifest the hopes and fears, contestations and settlements of contemporary racial biopolitics and ethnic politics of education in multicultural cities.

Algorithms of Education: How Datafication and Artificial Intelligence Shape Policy

Автор: Gulson Kalervo N., Sellar Sam, Webb P. Taylor
Название: Algorithms of Education: How Datafication and Artificial Intelligence Shape Policy
ISBN: 1517910250 ISBN-13(EAN): 9781517910259
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 3135.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.


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