Nemorin, Selena;
Vlachidis, Andreas;
Hayford, Ayerakwa;
Andriotis, Panagiotis;
(2022)
AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development.
Learning, Media and Technology
10.1080/17439884.2022.2095568.
(In press).
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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.
Type: | Article |
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Title: | AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1080/17439884.2022.2095568 |
Publisher version: | https://doi.org/10.1080/17439884.2022.2095568 |
Language: | English |
Additional information: | © 2022 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/). |
Keywords: | AI; education and development; thematic analysis; concordance |
UCL classification: | UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities > Dept of Information Studies UCL > Provost and Vice Provost Offices > UCL SLASH UCL |
URI: | https://discovery.ucl.ac.uk/id/eprint/10151285 |
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