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A united and thriving Europe? A sociology of the European Schools’ and ‘If personalised education and artificial intelligence are a democratic problem, could pluralisation be the democratic solution?

Leaton Gray, SH; Kucirkova, N; (2018) A united and thriving Europe? A sociology of the European Schools’ and ‘If personalised education and artificial intelligence are a democratic problem, could pluralisation be the democratic solution? In: Proceedings of British Educational Research Association (BERA) Annual Conference 2018. BERA: Newcastle, UK. Green open access

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Abstract

There is currently much debate about the ‘dangers’ of new artificial intelligence (AI) technologies as they start to impact on many familiar social systems. However, little is written regarding the broader educational sociology of AI. In its simplest form, AI merely represents a fairly incremental technological progression, through increasing personalisation of provision. However there is still significant work to be done, if AI is to reach its full potential in terms of human flourishing. We draw on Kucirkova’s previous empirical work to outline the complexity of personalised learning that goes beyond algorithm-led learning models, and we argue that more attention needs to be paid to the democratic impact of such systems. Drawing on Bernstein’s three ‘conditions for democracy’, we develop a new framework for conceptualising personalised education, assessment systems and AI. Finally we propose a set of best practice principles for AI use if they are to work sustainably.

Type: Proceedings paper
Title: A united and thriving Europe? A sociology of the European Schools’ and ‘If personalised education and artificial intelligence are a democratic problem, could pluralisation be the democratic solution?
Event: British Educational Research Association Conference 2018
Location: Newcastle
Dates: 11 September 2018 - 13 September 2018
Open access status: An open access version is available from UCL Discovery
Publisher version: https://www.bera.ac.uk/beraconference-2018
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: artificial intelligence, AI, personalised learning, algorithms, democracy, Bernstein
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media
URI: https://discovery.ucl.ac.uk/id/eprint/10065502
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