Teacher-led issue networks in Swedish ed-tech policymaking – the case of generative AI

Policymaking around educational technology (ed-tech) is increasingly influenced by networks of public and private actors ranging from Big Tech corporations and international organisations through to ed-tech evidence brokers and consultants. This paper considers a relatively unexplored facet of contemporary ed-tech policy work – public-facing (ex)teachers advocating for technological change through various publicity, lobbying and market-building activities. In particular, the paper considers how such actors have recently been promoting the take-up of generative artificial intelligence (AI) technologies within Swedish schools as a policy issue. Drawing on interviews with 13 prominent ‘AI advocates’, we detail how these actors are centrally involved in an issue network looking to shape policy imperatives around school AI in the absence of clear leadership from national government, state agencies and local ed-tech industry. Despite being motivated by ideas of AI-driven pedagogicaland societal change, the paper examines how this issue networkis largely reproducing conservative forms of onto-epistemic governanceby replicating valuations of generative AI in familiar corporatisedterms of efficiency, utility and solutionism.

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Publication Details

Journal
Journal of Education Policy
Published
2025-12-08
DOI
https://doi.org/10.1080/02680939.2025.2600328
Citations
1
Primary Topic
Global Educational Policies and Reforms
Type
article
Field-Weighted Citation Impact
8.52
Controls
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article

Teacher-led issue networks in Swedish ed-tech policymaking – the case of generative AI

Neil Selwyn, Anders Sonesson, Marita Ljungqvist
1 citations
Journal of Education Policy
Global Educational Policies and Reforms
8.52
article

Teacher-led issue networks in Swedish ed-tech policymaking – the case of generative AI

Neil Selwyn, Anders Sonesson, Marita Ljungqvist
article en
1 citations

Abstract

Policymaking around educational technology (ed-tech) is increasingly influenced by networks of public and private actors ranging from Big Tech corporations and international organisations through to ed-tech evidence brokers and consultants. This paper considers a relatively unexplored facet of contemporary ed-tech policy work – public-facing (ex)teachers advocating for technological change through various publicity, lobbying and market-building activities. In particular, the paper considers how such actors have recently been promoting the take-up of generative artificial intelligence (AI) technologies within Swedish schools as a policy issue. Drawing on interviews with 13 prominent ‘AI advocates’, we detail how these actors are centrally involved in an issue network looking to shape policy imperatives around school AI in the absence of clear leadership from national government, state agencies and local ed-tech industry. Despite being motivated by ideas of AI-driven pedagogicaland societal change, the paper examines how this issue networkis largely reproducing conservative forms of onto-epistemic governanceby replicating valuations of generative AI in familiar corporatisedterms of efficiency, utility and solutionism.

Journal of Education Policy
Lund University (SE), Australian Regenerative Medicine Institute (AU), Monash University (AU)
Openalex Percentile: Top 2%
Global Educational Policies and Reforms
8.52
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Teacher-led issue networks in Swedish ed-tech policymaking – the case of generative AI — Neil Selwyn, Anders Sonesson, et al. · Journal of Education Policy (2025) | TGRS Research Map | TGRS