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Deferred expertise : The groundless ground of datafication and the shift to recessive technologies
Langman, Sarah
Langman, Sarah
Author
Abstract
This paper explores how the conditions for leadership are produced in datafied schooling regimes by the data infrastructures developed and utilised in departmental systems of education. Drawing on Hong’s (Citation2020) theorisation of recessivity, this paper considers those tools and instruments as recessive technologies: technologies that know for us in quantified ways that are beyond the comprehension available to humans alone. This paper interrogates two specific data platforms used by Australian state departments of education as key examples of recessive technologies: i) the Victorian Department of Education’s Panorama, and ii) the New South Wales Department of Education’s Scout. Using a Deleuzian-Guattarian framework of assemblage, I provide an analytical discussion that considers, first, the epistemological foundation of datafication on which recessive technologies reside, before, second, attending to the implications this has for how educational leadership can be enacted. Finally, I conclude by arguing the need for further critical research around recessive technologies.
Keywords
Datafication, recessive technologies, educational leadership, expertise
Date
2024
Type
Journal article
Journal
Book
Volume
Issue
Page Range
1-12
Article Number
ACU Department
School of Education
Faculty of Education and Arts
Faculty of Education and Arts
Collections
Relation URI
Event URL
Open Access Status
Published as ‘gold’ (paid) open access
License
CC BY-NC-ND 4.0
File Access
Open
Notes
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
This is an open access article distributed under the terms of the creative commons attribution-noncommercial-noderivatives license (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, providedthe original work is properly cited, and is not altered, transformed, or built upon in any way. the terms on which this article has beenpublished allow the posting of the accepted Manuscript in a repository by the author(s) or with their consent.
This is an open access article distributed under the terms of the creative commons attribution-noncommercial-noderivatives license (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, providedthe original work is properly cited, and is not altered, transformed, or built upon in any way. the terms on which this article has beenpublished allow the posting of the accepted Manuscript in a repository by the author(s) or with their consent.