Cited by 229Digital Education and SocietyArtificial Intelligence in EducationEthics and Social Impacts of AI

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

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Nemorin, Selena, Vlachidis, Andreas, Ayerakwa, Hayford M., Andriotis, Panagiotis·2023·Learning, Media and Technology

Abstract

The study seeks to understand how the AI ecosystem might be implicated in a form of knowledge production which reifies particular kinds of epistemologies over others. Using text mining and thematic analysis, this paper offers a horizon scan of the key themes that have emerged over the past few years during the AIEd debate. We begin with a discussion of the tools we used to experiment with digital methods for data collection and analysis. This paper then examines how AI in education systems are being conceived, hyped, and potentially deployed into global education contexts. Findings are categorised into three themes in the discourse: (1) geopolitical dominance through education and technological innovation; (2) creation and expansion of market niches, and (3) managing narratives, perceptions, and norms.

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Research works printed but not linked: 6

  1. Asilomar AI Principles. 2017. Principles Developed in Conjunction with the 2017 Asilomar Conference [Benevolent AI 2017]. Retrieved August 13, 2021 from https://futureo fl ife.org/ai-principles.
  2. Foucault, M. 1989. The Order of Things . London: Routledge.
  3. IEEE. 2018. Ethically Aligned Design. Retrieved June 20, 2019 from https://standards.ieee.org/content/dam/ieeestandards/standards/web/documents/other/ead\_v2.pdf.
  4. The IEEE Initiative on Ethics of Autonomous and Intelligent Systems. 2017. Ethically Aligned Design, v2 . Retrieved August 13, 2021 from https://ethicsinaction.ieee.org.
  5. OECD. 2021a. Digital Education Outlook 2021: Pushing the Frontiers with Artificial Intelligence, Blockchain and Robots . Retrieved July 7, 2021 from https://read.oecd-ilibrary.org/education/oecd-digital-education-outlook-2021\_589b283f-en#page1.
  6. Toma š ev, N., J. Cornebise, F. Hutter, et al. 2020. ' AI for Social Good: Unlocking the Opportunity for Positive Impact. ' Nature 11: 2468. Retrieved July 25 2021 from https://www.nature.com/articles/s41467-020-15871-z.

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Authors
Nemorin, S., Vlachidis, A., Ayerakwa, H. M., & Andriotis, P.
Affiliations
  • University of Oxford (GB)
  • University College London (GB)
  • University of Ghana (GH)
  • University of the West of England (GB)
Corresponding author
Nemorin, Selena
Venue
Learning, Media and Technology
Published
2022-07-05
Volume
48
Issue
1
Pages
38-51
ISSN
  • 1743-9884 (ISSN-L)
  • 1743-9892
OpenAlex
W4284681350
Cited by
229
References
22
Citations by year
2026: 39 · 2025: 81 · 2024: 70 · 2023: 31 · 2022: 8
FWCI
46.93
Type
journal article
Language
en
Open access
Locations
  • Learning Media and Technology (publishedVersion, cc-by-nc-nd)
  • UWE Research Repository (UWE Bristol) (submittedVersion, cc-by-nc-nd)
  • UCL Discovery (University College London) (submittedVersion)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion, cc-by-nc-nd)
Funders
UK Research and Innovation (MR/T022493/1)
Topics
  • Physical Sciences › Computer Science › Information Systems › Digital Education and Society
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
Keywords
artificial intelligence in education, AI hype, AI discourse, epistemology, knowledge production, technology markets, global education

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