Computer adaptive testing, Big Data and algorithmic approaches to education

Thompson, Greg (2016) Computer adaptive testing, Big Data and algorithmic approaches to education. British Journal of Sociology of Education. (In Press)

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This article critically considers the promise of computer adaptive testing (CAT) and digital data to provide better and quicker data that will improve the quality, efficiency and effectiveness of schooling. In particular, it uses the case of the Australian NAPLAN test that will become an online, adaptive test from 2016. The article argues that CATs are specific examples of technological ensembles which are producing, and working through, new subjectivities. In particular, CATs leverage opportunities for big data and algorithmic approaches to education that are symptomatic of what Deleuze saw as the shift from disciplinary to control institutions and societies.

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4 citations in Scopus
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ID Code: 94072
Item Type: Journal Article
Refereed: Yes
Keywords: adaptive testing, NAPLAN, datafication
DOI: 10.1080/01425692.2016.1158640
ISSN: 0142-5692
Divisions: Current > QUT Faculties and Divisions > Faculty of Education
Copyright Owner: 2016 Informa UK Limited, trading as Taylor & Francis Group
Deposited On: 24 May 2016 23:56
Last Modified: 30 May 2016 16:40

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