Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Defining ‘the Force’ of artificial intelligence in education

Exploring the future of teaching through informed speculation

Bibliographic Data

ID21785548
AuthorsCornelia Linderoth (0009-0003-3778-4187, Linköping University, corresponding author), Mina Mani (0000-0003-2669-8059, Linköping University), Konrad Schönborn (0000-0001-8888-6843, Linköping University), Magnus Hultén (0000-0001-5257-8208, Linköping University), Linnea Stenliden (0000-0002-3115-9060, Linköping University)
Year2025
Pages1-15
Publication date2025-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLearning Media and Technology (JOURNAL)
Journal identifiersISSN: 1743-9884 • E-ISSN: 1743-9892
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/17439884.2025.2550502
OpenAlexW4413878265
LanguageEN
Citations received2
References cited38

In the ‘Star Wars’ universe, the Force is a powerful energy that can be harnessed for good or evil. Similarly, artificial intelligence (AI) in education is often depicted as a transformative power capable of revolutionizing teaching and learning. This paper explores possible futures in education in relation to generative AI and predictive AI, using informed speculation to offer insights into the future. As our visions for tomorrow’s technology are being defined today, it is important to invite teachers to define the technology we should strive for. This paper presents two co-design workshops involving seven secondary-school teachers with diverse experiences and understandings of AI. Analysis of the workshop recordings informed three narrative episodes that center on lesson-planning in the future, the technical divide, and assessment agency. Education fiction is used as a mode for deep reflection on the results, staging scenarios and exploring the implications of AI in education. The results suggest that while teachers fear changes to their profession, they also offer constructive ideas for AI’s potential use. This informed speculation helps to elaborate on challenges and possibilities AI poses for teachers, providing important insights into how to harness AI effectively in teaching while avoiding techno-solutionism by broadening future perspectives

Economics · Engineering ethics · Pedagogy · Sociology · Speculation · Educational Games and Gamification · Engineering · Online Learning and Analytics · Psychology · Teaching and Learning Programming

  • Faculty Perceptions and Adoption of AI in Higher Education

    Open Access•Najib Najjar, Melissa Rouphael et al.•Education Sciences•2025

  • Speculative futures of artificial intelligence in education

    Open Access•Iosif Gidiotis•Futures•2026

  • Teachers and machines

    Larry Cuban•Teachers and machines•1986

  • Teaching Machines

    Audrey Watters•Teaching Machines•2021

  • What might the school of 2030 be like? An exercise in social science fiction

    Neil Selwyn, Luci Pangrazio et al.•Learning Media and Technology•2020

  • Deep learning goes to school

    Carlo Perrotta, Neil Selwyn•Learning Media and Technology•2020

  • Impossible Dreaming

    Open Access•Shandell Houlden, George Veletsianos•Postdigital Science and Education•2023

  • Speculative Practicescapes of Learning Design and Dreaming

    Open Access•Eamon Costello, Julie Koch Mcdonald et al.•Postdigital Science and Education•2025

  • Characteristics of Education Fiction

    Open Access•Stefan Hrastinski•Postdigital Science and Education•2023

  • AI hyped? A horizon scan of discourse on artificial intelligence in education (Aied) and development

    Open Access•Selena Nemorin, Andreas Vlachidis et al.•Learning Media and Technology•2023

  • Conflicting motives

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

  • Education, automation and AI

    Open Access•Lina Rahm•Learning Media and Technology•2023

  • Competing visions of artificial intelligence in education—A heuristic analysis on sociotechnical imaginaries and problematizations in policy guidelines

    Open Access•Cornelia Linderoth, Magnus Hultén et al.•Policy Futures in Education•2024

  • Technology in the classroom

    Open Access•Caroline Hall, Martin Lundin•Economics of Education Review•2024

  • Still w( AI )ting for the automation of teaching

    Open Access•Katarina Sperling, Linnea Stenliden et al.•European Journal of Education•2022

  • State of the art and practice in AI in education

    Open Access•William Holmes, Ilkka Tuomi•European Journal of Education•2022

  • The future of AI and education

    Open Access•Neil Selwyn•European Journal of Education•2022

  • Anecdote, fiction, and statistics

    Open Access•M Wood•Possibility Studies & Society•2024

  • Dreamscapes of Modernity

    Sheila Jasanoff, Sang-Hyun Kim•Dreamscapes of Modernity•2015

  • Hello GPT! Goodbye home examination? An exploratory study of AI chatbots impact on university teachers’ assessment practices

    Open Access•Alexandra Farazouli, Teresa Cerratto Pargman et al.•Assessment & Evaluation in Higher…•2024

  • From designing to co-designing to collective dreaming

    Open Access•Liz Sanders, Pieter Jan Stappers•interactions•2014

  • Selling tech to teachers

    Catarina Player-Koro, Annika Bergviken Rensfeldt et al.•Journal of Education Policy•2018

  • Researching without representation? Language and materiality in post-qualitative methodology

    M Maclure•International Journal of…•2013

  • Promises and challenges of generative artificial intelligence for human learning

    Open Access•Lixiang Yan, Samuel Greiff et al.•Nature Human Behaviour•2024

  • Introduction

    Neil Gerlach, Sheryl N Hamilton•Science Fiction Studies•2003

  • Co-Designing Multispecies Speculations Through Biofuturing

    Open Access•A Jacobs, Ellen Anthoni et al.•Qualitative Inquiry•2025

Unique citing works2
Citations per year2
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae