Literaturnachweis - Detailanzeige
Autor/inn/en | Selwyn, Neil; Campbell, Liz; Andrejevic, Mark |
---|---|
Titel | Autoroll: Scripting the Emergence of Classroom Facial Recognition Technology |
Quelle | In: Learning, Media and Technology, 48 (2023) 1, S.166-179 (14 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Zusatzinformation | ORCID (Selwyn, Neil) ORCID (Campbell, Liz) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1743-9884 |
DOI | 10.1080/17439884.2022.2039938 |
Schlagwörter | Nonverbal Communication; Technology Uses in Education; Human Body; Foreign Countries; Identification; Barriers; Privacy; Australia |
Abstract | This 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). |
Anmerkungen | Routledge. 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 von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |