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Instituting socio-technical education futures

Encounters with/through technical democracy, data justice, and imaginaries

Datos Bibliográficos

ID21785447
AutoresTeresa Swist (0000-0003-3836-112X, The University of Sydney, autor de correspondencia), Kalervo N Gulson (0000-0002-3581-9935, The University of Sydney)
Año2023
Volumen48
Número2
Páginas181-186
Fecha de publicación2023-04-03
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaLearning Media and Technology (JOURNAL)
Identificadores de la revistaISSN: 1743-9884 • E-ISSN: 1743-9892
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/17439884.2023.2205225
OpenAlexW4380206122
IdiomaEN
Citas recibidas17
Referencias citadas16

A (re)composition of encountered problems and possibilitiesArtificial intelligence, automation, algorithms, and datafication are increasingly instituted across educational systems and decision-making, including generative AI, student monitoring, exam grading, data analytics.The public release of ChatGPT raised stark issues of corporate infrastructuring, the politics and scientization of automation, conflicts over ethics, and the possibility of how things could be 'designed otherwise' (Williamson, Macgilchrist, and Potter 2023).The global reach of exam surveillance systems during the COVID-19 pandemic provoked questions about commercial provider roles, the hidden labour of automated systems, alongside the vulnerabilities of remote studying (Selwyn et al. 2021).A grades standardisation algorithm to calculate proxy grades for cancelled examinations sparked a range of unintended consequences, protests, and public trust issues (Kelly 2021).School openings and closings throughout the crisis increasingly relied upon the politicised release and reception of cross-sectoral data analytics, while attendant COVID-19 surveillance systems escalated the powers of both government and non-government entities (Mahase 2021; Oster 2021).These socio-technical controversies highlight the multiscalar power relations shaping present and future education possibilities (Macgilchrist, Potter, and Williamson 2021).A range of conceptual and methodological constraints are provoked by these shifting power relations between diverse constituents: students, educators, communities, technology corporations, professional bodies, cross-sectoral policymakers, plus all levels of government.Methods can enact worlds, Lury (2020) argues, and attention to (re)composing how knowledge continues with, and transforms through, societal institutions is vitally needed.There are multiple issues in education that arise from socio-technical controversies related to the use of algorithms.The first issue comes from what we know when socio-technical systems are used elsewhere.Algorithmic systems are used in high stakes areas such as policing and hiring.Problems in this use include over policing of people of colour using facial recognition technologies, and reinforcement of gender bias in automated selection in hiring practices (Noble 2018).In these areas, it has been shown that complex socio-technical systems are poorly understood by both users and those affected by the systems (Algorithm Watch 2019).Similarly, there are concerns about the capacity of educators, administrators and policy makers to understand the limitations and presuppositions of using complex socio-technical algorithmic systems in decision-making (European Commission 2021;Southgate et al. 2020).The second issue is that with the increased use of algorithmic systems, along with the identification of risks (European Commission 2021), has come awareness that ethical issues like fairness and bias are seriously underdeveloped in education (Sahlgren 2021).Additionally, with a wide range of expertise involved in developing and applying socio-technical systems, there is growing contestation over what counts as relevant

Democracy · Economic Justice · Economics · Financial economics · Futures contract · Political science · Politics · Sociology · Digital Education and Society · Ethics and Social Impacts of AI · Information Systems Theories and Implementation · Law

  • Hijacking the Digital Backlash in Education

    Open Access•Ingrid Forsler, Sarah Hayes et al.•Postdigital Science and Education•2026

  • Laptop Orchestra

    Open Access•Lawrence Wilde, Charles White•Postdigital Science and Education•2025

  • The Future Postdigital Classroom

    Open Access•Ingrid Forsler, Emanuele Bardone et al.•Postdigital Science and Education•2025

  • Exploring ethical dilemmas and institutional challenges in AI adoption

    Open Access•Tigere Paidamoyo Muringa•Frontiers in Education•2025

  • Navigating generative AI in higher education – six near future scenarios

    Open Access•Tiina Lindell, Christian Stöhr•Learning Media and Technology•2025

  • Challenging the inequitable impacts of edtech

    Felicitas Macgilchrist, John Potter et al.•Learning Media and Technology•2024

  • Conflicting motives

    Tiina Leino Lindell, Tiina Lindell et al.•Learning Media and Technology•2025

  • Reframing AI governance in education

    Open Access•Bec Marland, Janine Aldous Arantes•Learning Media and Technology•2026

  • Looking back and looking forward

    Open Access•Rebecca Eynon, Cathy Lewin et al.•Learning Media and Technology•2025

  • Micro studies in macro digital ecosystems

    John Potter•Learning Media and Technology•2023

  • Sociodigital futures of education

    Open Access•Arathi Sriprakash, Bonny Williamson et al.•Oxford Review of Education•2025

  • Post-graduate pedagogy in neuroliberal times

    Open Access•Zahid Naz, Chris Beighton•Critical Studies in Education•2026

  • EdTech and the Environment

    Open Access•Petar Jandrić, Jeremy Knox et al.•Postdigital Science and Education•2026

  • Neurofarming HE

    Open Access•Chris Beighton•Journal of Education Policy•2026

  • Triangulating the lifelong learner

    Open Access•Chris Beighton•International Journal of Lifelong…•2026

  • How do problematisations “materialise”? A neopragmatic perspective on the (in-)visibilisation of justice concerns in Aied

    Open Access•Kenneth Horvath, Andrea Isabel Frei et al.•British Journal of Sociology of…•2025

  • Who said only military officers can deal with uncertainty? On the importance of uncertainty in edtech data visualisations

    Open Access•Felicitas Macgilchrist, Juliane Jarke•Discourse Studies in the Cultural…•2025

  • Algorithms of Oppression

    Safiya Umoja Noble, Safiya Noble•Algorithms of Oppression•2020

  • Designing Postdigital Futures

    Open Access•Felicitas Macgilchrist, Heidrun Allert et al.•Postdigital Science and Education•2024

  • Shifting scales of research on learning, media and technology

    Felicitas Macgilchrist, John Potter et al.•Learning Media and Technology•2021

  • Re-examining AI, automation and datafication in education

    Bonny Williamson, Felicitas Macgilchrist et al.•Learning Media and Technology•2023

  • The politics and reciprocal (re)configuration of accountability and fairness in data-driven education

    Open Access•Otto Sahlgren•Learning Media and Technology•2023

  • Exploring Data Justice

    Lina Dencik, Arne Hintz et al.•Information Communication & Society•2019

  • To be or not to be algorithm aware

    Open Access•Anne-Britt Gran, Peter Booth et al.•Information Communication & Society•2021

  • The Imaginary Institution of Society

    Open Access•Cornelius Castoriadis, Kathleen Blamey•The Imaginary Institution of…•1987

  • A tale of two algorithms

    Open Access•Anthony Kelly•British Educational Research…•2021

  • Acting in an uncertain world

    Michel Callon, Pierre Lascoumes et al.•Acting in an uncertain world•2009

  • Professional Judgment in an Era of Artificial Intelligence and Machine Learning

    Frank Pasquale, Frank L Pasquale•boundary 2•2019

  • Post-automation

    Open Access•Adrian Smith, Mariano Fressoli•Futures•2021

  • A necessary evil? The rise of online exam proctoring in Australian universities

    Open Access•Neil Selwyn, Chris O’neill et al.•Media International Australia•2023

Obras citantes distintas17
Citas por año5,67
Intervalo de citas2023 - 2026 (4)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 17
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