Learning brains: educational neuroscience, neurotechnology and neuropedagogy.

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Title: Learning brains: educational neuroscience, neurotechnology and neuropedagogy.
Authors: Williamson, Ben1 (AUTHOR) ben.williamson@ed.ac.uk, Pykett, Jessica2 (AUTHOR), Kotouza, Dimitra1 (AUTHOR)
Source: Pedagogy, Culture & Society. Mar2026, Vol. 34 Issue 2, p515-535. 21p.
Subject Terms: *Educational technology, Neurotechnology (Bioengineering), Neuroplasticity, Neurosciences, Computational neuroscience
Abstract: Educational neuroscience seeks to conceptualise the neural underpinings of learning and other educational outcomes, as a route to proposing brain-based pedagogic interventions. As educational neuroscience has begun deploying new neurotechnologies, it has generated diverse data-driven conceptualisations of the 'learning brain'. The data-intensive technological and methodological apparatuses used in educational neuroscience support the configuration of multiple 'learning brains' as the basis for neuropedagogic interventions: (1) a 'plastic' brain, (2) a 'synchronized' brain, (3) an 'engaged' brain, and (4) a 'computational' brain. Various sociotechnical arrangements of instrumentation, information, incubation, imagination and implementation that constitute contemporary neurotechnological instantiations of educational neuroscience are analysed. The core argument is that the neuro-informational malleability of the datafied learning brain is being mobilised to strengthen educational neuroscience as a source of expertise in brain-based pedagogies. This has novel implications for determining what education scientifically is and normatively should be, and for proposed 'neurogovernance' interventions. [ABSTRACT FROM AUTHOR]
Copyright of Pedagogy, Culture & Society is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Learning brains: educational neuroscience, neurotechnology and neuropedagogy.
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  Data: <searchLink fieldCode="AR" term="%22Williamson%2C+Ben%22">Williamson, Ben</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ben.williamson@ed.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Pykett%2C+Jessica%22">Pykett, Jessica</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kotouza%2C+Dimitra%22">Kotouza, Dimitra</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Pedagogy%2C+Culture+%26+Society%22">Pedagogy, Culture & Society</searchLink>. Mar2026, Vol. 34 Issue 2, p515-535. 21p.
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  Data: *<searchLink fieldCode="DE" term="%22Educational+technology%22">Educational technology</searchLink><br /><searchLink fieldCode="DE" term="%22Neurotechnology+%28Bioengineering%29%22">Neurotechnology (Bioengineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Neuroplasticity%22">Neuroplasticity</searchLink><br /><searchLink fieldCode="DE" term="%22Neurosciences%22">Neurosciences</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+neuroscience%22">Computational neuroscience</searchLink>
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  Data: Educational neuroscience seeks to conceptualise the neural underpinings of learning and other educational outcomes, as a route to proposing brain-based pedagogic interventions. As educational neuroscience has begun deploying new neurotechnologies, it has generated diverse data-driven conceptualisations of the 'learning brain'. The data-intensive technological and methodological apparatuses used in educational neuroscience support the configuration of multiple 'learning brains' as the basis for neuropedagogic interventions: (1) a 'plastic' brain, (2) a 'synchronized' brain, (3) an 'engaged' brain, and (4) a 'computational' brain. Various sociotechnical arrangements of instrumentation, information, incubation, imagination and implementation that constitute contemporary neurotechnological instantiations of educational neuroscience are analysed. The core argument is that the neuro-informational malleability of the datafied learning brain is being mobilised to strengthen educational neuroscience as a source of expertise in brain-based pedagogies. This has novel implications for determining what education scientifically is and normatively should be, and for proposed 'neurogovernance' interventions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Pedagogy, Culture & Society is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1080/14681366.2025.2521458
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 515
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      – SubjectFull: Educational technology
        Type: general
      – SubjectFull: Neurotechnology (Bioengineering)
        Type: general
      – SubjectFull: Neuroplasticity
        Type: general
      – SubjectFull: Neurosciences
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      – SubjectFull: Computational neuroscience
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      – TitleFull: Learning brains: educational neuroscience, neurotechnology and neuropedagogy.
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            NameFull: Williamson, Ben
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            NameFull: Pykett, Jessica
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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