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Big data and the liberal conception of education

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Clayton, Matthew and Halliday, Daniel (2017) Big data and the liberal conception of education. Theory and Research in Education, 15 (3). pp. 290-305. doi:10.1177/1477878517734450

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Official URL: https://doi.org/10.1177/1477878517734450

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Abstract

This paper develops a perspective on big data in education, drawing on a broadly liberal conception of education’s primary purpose. We focus especially on the rise of so-called learning analytics, and the associated rise of digitization, which we evaluate according to the liberal view that education should seek to cultivate individuality, and proceed partly by way of experimentation and with an emphasis on civic education. Our argument is not that the use of big data is wholly out of place in education. Indeed, it might have significant value in pursuit of certain educational aims. Nevertheless, the liberal conception shows how education is distinct from other domains in which big data is being applied, in ways that suggest that considerable caution must be exercised when they are used in educational contexts.

Item Type: Journal Article
Subjects: L Education > LB Theory and practice of education
Divisions: Faculty of Social Sciences > Politics and International Studies
Library of Congress Subject Headings (LCSH): Big data, Educational technology, Civics -- Study and teaching, Education -- Philosophy, Liberalism
Journal or Publication Title: Theory and Research in Education
Publisher: Sage Publications Ltd.
ISSN: 1477-8785
Official Date: 1 November 2017
Dates:
DateEvent
1 November 2017Published
3 October 2017Available
30 August 2017Accepted
Date of first compliant deposit: 19 September 2017
Volume: 15
Number: 3
Page Range: pp. 290-305
DOI: 10.1177/1477878517734450
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: Center for Ethics and Education

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