Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/25593
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWilliamson, Benen_UK
dc.contributor.authorPykett, Jessicaen_UK
dc.contributor.authorNemorin, Selenaen_UK
dc.date.accessioned2018-02-10T05:49:52Z-
dc.date.available2018-02-10T05:49:52Z-
dc.date.issued2018en_UK
dc.identifier.urihttp://hdl.handle.net/1893/25593-
dc.description.abstractRecently, technologies based on neuroscientific insights into brain function and structure have been promoted for application in education. The novel practices and environments produced by these technologies require new forms of ‘biosocial’ analysis to unpack their implications for education, learning and governance. The article provides an original analysis of current ‘brain-based’ R&D by the edu-business Pearson to apply artificial intelligence in education, and by the computing company IBM to develop cognitive systems for learning. These emerging forms of neurocomputation are examined as technologies designed to function according to neuroscientific understandings of the brain, and to impress themselves on the cerebral lives of learners by being embedded in educational spaces. To examine the technological and neurobiological means by which a learner is made up through technologically-mediated educational environments, we advance the idea of ‘brain/code/space’ as a conceptual framework. Thisdescribes environments that possess brain-like functions of learning and cognition performed by computational processes. The brain/code/spaces of education proposed by Pearson and IBM are intended to optimize human cognition as a technique of human capital development in order to enhance the performance of education systems to secure comparative advantage in a globalizing policy space, exemplifying new forms of neurocomputational governance and capital.en_UK
dc.language.isoenen_UK
dc.publisherTaylor and Francisen_UK
dc.relationWilliamson B, Pykett J & Nemorin S (2018) Biosocial spaces and neurocomputational governance: brain-based and brain-targeted technologies in education. Discourse, 39 (2), pp. 258-275. https://doi.org/10.1080/01596306.2018.1394421en_UK
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. This is an Accepted Manuscript of an article published by Taylor & Francis Group in Discourse: Studies in the Cultural Politics of Education on 27 Oct 2017, available online: http://www.tandfonline.com/10.1080/01596306.2018.1394421.en_UK
dc.subjectartificial intelligenceen_UK
dc.subjectbig dataen_UK
dc.subjectbiosocialen_UK
dc.subjectbrainen_UK
dc.subjectcognitive computingen_UK
dc.subjectneuroscienceen_UK
dc.titleBiosocial spaces and neurocomputational governance: brain-based and brain-targeted technologies in educationen_UK
dc.typeJournal Articleen_UK
dc.rights.embargoreason[Williamson Pykett Nemorin_Biosocial neurocomputation_2017.pdf] Publisher requires embargo of 18 months after formal publication.en_UK
dc.identifier.doi10.1080/01596306.2018.1394421en_UK
dc.citation.jtitleDiscourseen_UK
dc.citation.issn2040-3674en_UK
dc.citation.volume39en_UK
dc.citation.issue2en_UK
dc.citation.spage258en_UK
dc.citation.epage275en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.author.emailben.williamson@stir.ac.uken_UK
dc.citation.date27/10/2017en_UK
dc.contributor.affiliationEducationen_UK
dc.contributor.affiliationUniversity of Birminghamen_UK
dc.contributor.affiliationLondon School of Economicsen_UK
dc.identifier.isiWOS:000423488700007en_UK
dc.identifier.scopusid2-s2.0-85032338223en_UK
dc.identifier.wtid524840en_UK
dc.contributor.orcid0000-0001-9356-3213en_UK
dc.date.accepted2017-06-01en_UK
dcterms.dateAccepted2017-06-01en_UK
dc.date.filedepositdate2017-07-10en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorWilliamson, Ben|0000-0001-9356-3213en_UK
local.rioxx.authorPykett, Jessica|en_UK
local.rioxx.authorNemorin, Selena|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2019-04-28en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2019-04-27en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2019-04-28|en_UK
local.rioxx.filenameWilliamson Pykett Nemorin_Biosocial neurocomputation_2017.pdfen_UK
local.rioxx.filecount1en_UK
Appears in Collections:Faculty of Social Sciences Journal Articles

Files in This Item:
File Description SizeFormat 
Williamson Pykett Nemorin_Biosocial neurocomputation_2017.pdfFulltext - Accepted Version330.35 kBAdobe PDFView/Open


This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.