Journal article

The mobilisation of AI in education: a Bourdieusean field analysis

Abstract:: Artificial Intelligence (AI) is currently hailed as a ‘solution’ to perceived problems in education. Though few sociologists of education would agree with its deterministic claims, this AI solutionist thinking is gaining significant currency. In this article, using a relatively novel method for sociology – a knowledge graph – together with Bourdieusean theory, we critically examine how and why different stakeholders in education, educational technology and policy are valorising AI, the main concepts, such as personalisation, they collectively endorse and their incentives for doing so. Drawing on this analysis, we argue that AI is currently being mobilised in education in problematic ways and advocate for more systematic sociological thinking and research to re-orientate the field to account for society’s structural conditions.

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Davies, H. C., Eynon, R., & Salveson, C. (2020). The mobilisation of AI in education: a Bourdieusean field analysis. Sociology, 55(3), 539–560.

MLA Style

Davies, H. C., et al. “The Mobilisation of AI in Education: a Bourdieusean Field Analysis.” Sociology, vol. 55, no. 3, SAGE Publications, 2020, pp. 539–60.

Chicago Style

Davies, HC, R Eynon, and C Salveson. 2020. “The Mobilisation of AI in Education: a Bourdieusean Field Analysis.” Sociology 55 (3): 539–60.
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Files:: Davies_et_al_2021_The_Mobilisation_of.pdf

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Publisher copy:: 10.1177/0038038520967888

Authors

+ Davies, HC More by this author

Institution:: University of Oxford
Division:: SSD
Department:: Oxford Internet Institute
Role:: Author

+ Eynon, R More by this author

Institution:: University of Oxford
Division:: SSD
Department:: Oxford Internet Institute
Sub department:: Oxford Internet Institute
Role:: Author
ORCID:: 0000-0002-2074-5486

+ Salveson, C More by this author

Role:: Author

Publisher:: SAGE Publications
Journal:: Sociology More from this journal
Volume:: 55
Issue:: 3
Pages:: 539-560
Publication date:: 2020-12-04
Acceptance date:: 2020-10-01
DOI:: 10.1177/0038038520967888
EISSN:: 1469-8684
ISSN:: 0038-0385

Language:: English
Keywords:: FFR
Pubs id:: 1148239
Local pid:: pubs:1148239
Deposit date:: 2020-12-23

Terms of use

Copyright holder:: Davies et al.
Copyright date:: 2020
Rights statement:: © The Author(s) 2020. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

Licence:: CC Attribution (CC BY)

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