New digital laboratories of experimental knowledge production: Artificial intelligence and education research
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Title
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New digital laboratories of experimental knowledge production: Artificial intelligence and education research
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Abstract
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Education data scientists, learning engineers and precision education specialists are new experts in knowledge production in educational research. By bringing together data science methodologies and advanced artificial intelligence (AI) systems with disciplinary expertise from the psychological, biological and brain sciences, they are building a new field of AI-based learning science. This article presents an examination of how education research is being remade as an experimental data-intensive science. AI is combining with learning science in new ‘digital laboratories’ where ownership over data, and power and authority over educational knowledge production, are being redistributed to research assemblages of computational machines and scientific expertise.
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Creator
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Ben Williamson
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Date Submitted
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17 October 2019
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Date Accepted
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16 March 2020
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Date Available
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21 July 2020
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Rights
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© 2020 Williamson. This is an Open Access article distributed under the terms of the Creative
Commons Attribution Licence (CC BY) 4.0 https://creativecommons.org/licenses/by/4.0/, which
permits unrestricted use, distribution and reproduction in any medium, provided the original
author and source are credited.
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Access Rights
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London Review of Education is a peer-reviewed Open Access journal.
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Extent
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14 pages
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Format
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PDF
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Identifier
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DOI
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e-ISSN: 1474-8479
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Language
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English
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Publisher
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London Review of Education
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Type
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Text
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Source
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ProQuest
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Subject
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Artificial intelligence
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Educational technology
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Instructional systems--design
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Algorithms
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Data compression
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Metadata
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Information superhighway
