New digital laboratories of experimental knowledge production: Artificial intelligence and education research | Zendy

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New digital laboratories of experimental knowledge production: Artificial intelligence and education research

Author(s) -

Ben Williamson

Publication year - 2020

Publication title -

london review of education

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.326

H-Index - 21

eISSN - 1474-8479

pISSN - 1474-8460

DOI - 10.14324/lre.18.2.05

Subject(s) - field (mathematics) , science education , computer science , discipline , knowledge production , artificial intelligence , data science , production (economics) , educational research , knowledge management , engineering ethics , mathematics education , psychology , sociology , engineering , social science , mathematics , pure mathematics , economics , macroeconomics

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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