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Autor/inn/enSelwyn, Neil; Campbell, Liz; Andrejevic, Mark
TitelAutoroll: Scripting the Emergence of Classroom Facial Recognition Technology
QuelleIn: Learning, Media and Technology, 48 (2023) 1, S.166-179 (14 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Selwyn, Neil)
ORCID (Campbell, Liz)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1743-9884
DOI10.1080/17439884.2022.2039938
SchlagwörterNonverbal Communication; Technology Uses in Education; Human Body; Foreign Countries; Identification; Barriers; Privacy; Australia
AbstractThis paper considers how facial recognition technology is coming to find a place in contemporary schooling. Drawing on the 'script analysis' approach from the field of Science and Technology Studies, the paper examines the development of a facial recognition-based classroom recognition system by an Australian start-up company -- 'AutoRoll'. Drawing on a range of primary and secondary data, the paper details the ongoing negotiations and mechanisms of adjustment between start-up founders, developers, marketers, policy and education actors as this socio-technical object progresses through successive phases of scripting, deinscripting and rescripting. These accounts illustrate how an initially contested technology enters a local educational system and begins to be sold to schools. In particular, the paper considers the ways in which a spirit of tech industry 'solutionism' is used to manufacture trust and legitimacy in the face of the disjointed governance and limited oversight of ed-tech by government and other public agencies. (As Provided).
AnmerkungenRoutledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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