{"product_id":"algorithms-of-education-how-datafication-and-artificial-intelligence-shape-policy-hardback-9781517910242","title":"Algorithms of Education; How Datafication and Artificial Intelligence Shape Policy (Hardback) 9781517910242","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eAlgorithms of Education\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eHow Datafication and Artificial Intelligence Shape Policy\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eKalervo N. Gulson (Author), Sam Sellar (Author), P. Taylor Webb (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781517910242\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 17 May 2022\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e200 pages, 6 b\u0026amp;w illustrations\u003cbr\u003e21.6 x 14 x 2.5 cm, 0.37 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\"\u003ci\u003eAlgorithms of Education\u003c\/i\u003e is an essential guide to the possibilities and political implications of artificial intelligence in education policy and governance. Working with ambitious concepts and innovative methods, the authors provocatively ask how education can be governed when policies are implemented by humans and automated machines that think and make decisions together.\"-Ben Williamson, University of Edinburgh\u003c\/p\u003e\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eA critique of what lies behind the use of data in contemporary education policy \u003c\/b\u003e\u003cbr\u003e  \u003c\/p\u003e\n\u003cp\u003eWhile the science fiction tales of artificial intelligence eclipsing humanity are still very much fantasies, in \u003ci\u003eAlgorithms of Education\u003c\/i\u003e 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.\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eAlgorithms of Education\u003c\/i\u003e 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,\u003ci\u003e Algorithms of Education\u003c\/i\u003e 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.\u003c\/p\u003e\n\u003cp\u003eExploring case studies of data infrastructures, facial recognition, and the growing use of data science in education, \u003ci\u003eAlgorithms of Education\u003c\/i\u003e 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eIntroduction. Synthetic Governance: Algorithms in Education\u003c\/p\u003e\n\u003cp\u003e1. Governing: Networks, Artificial Intelligence, and Anticipation\u003c\/p\u003e\n\u003cp\u003e2. Thought: Acceleration, Automated Thinking, and Uncertainty\u003c\/p\u003e\n\u003cp\u003e3. Problems: Concept Work, Ethnography, and Policy Mobility\u003c\/p\u003e\n\u003cp\u003e4. Infrastructure: Interoperability, Datafication, and Extrastatecraft\u003c\/p\u003e\n\u003cp\u003e5. Patterns: Facial Recognition and the Human in the Loop\u003c\/p\u003e\n\u003cp\u003e6. Automation: Data Science, Optimization, and New Values\u003c\/p\u003e\n\u003cp\u003e7. Synthetic Politics: Responding to Algorithms in Education\u003c\/p\u003e\n\u003cp\u003eAcknowledgments\u003c\/p\u003e\n\u003cp\u003eNotes\u003c\/p\u003e\n\u003cp\u003eIndex\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003c\/font\u003e","brand":"Univ Of Minnesota Press","offers":[{"title":"Brand New","offer_id":52619253154072,"sku":"9781517910242","price":60.75,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/freshlyprintedbooks.co.uk\/products\/algorithms-of-education-how-datafication-and-artificial-intelligence-shape-policy-hardback-9781517910242","provider":"Freshly Printed Books","version":"1.0","type":"link"}