Computer Adaptive Testing, Big Data and Algorithmic Approaches to Education

Autor/in	Thompson, Greg
Titel	Computer Adaptive Testing, Big Data and Algorithmic Approaches to Education
Quelle	In: British Journal of Sociology of Education, 38 (2017) 6, S.827-840 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0142-5692
DOI	10.1080/01425692.2016.1158640
Schlagwörter	Foreign Countries; Computer Assisted Testing; Adaptive Testing; National Competency Tests; Data Collection; Social Theories; Social Control; Computer Uses in Education; Australia + Suchen Sie Ihr Suchwort? Ausland; Data capture; Datensammlung; Gesellschaftstheorie; Soziale Kontrolle; Computernutzung; Australien
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01