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Artificial intelligence and education in China
Open accessAbstract
This paper examines the political economy of artificial intelligence (AI) and education in China, through an analysis of government policy and private sector enterprise. While media and policy discourse often portray China’s AI development in terms of a unified national strategy, and a burgeoning geopolitical contestation for future global dominance, this analysis will suggest a more nuanced internal complexity, involving differing regional networks and international corporate activity. The first section considers two key policy documents published by the central Chinese government, which are shown to implicate educational institutions as influential actors in national and regional strategies for AI development, with a significant role in plans to train domestic expertise. The second section outlines three prominent private education companies: New Oriental Group, Tomorrow Advancing Life (TAL), and Squirrel AI. These companies are selected to represent important aspects of China’s development of educational AI applications, including the influence of a well-established private education sector, and a growing interest in international corporate activity. The paper concludes with the suggestion that while central government policy reserves a significant role for education in the national AI strategy, the private sector is utilising favourable political conditions to rapidly develop educational applications and markets.
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“When it comes to higher education, reports often emphasize the government's leading role in AI governance, highlighting the deep cooperation between universities and industry, and the teaching reform and scientific research innovation brought about by the application of technology (Knox, 2020).”
From A Comparative Analysis of AI Privacy Concerns in Higher Education: News Coverage in China and Western Countries (2025) · cites this paper as Knox, 2020
Experimental — accuracy not yet measuredIn the citing paper
“In other words, China's secondary schools are starting to experiment with the teaching of AI in response to government policy [3].”
From An Extended Theory of Planned Behavior for the Modelling of Chinese Secondary School Students’ Intention to Learn Artificial Intelligence (2020) · cites this paper as [3]
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Metadata
- Authors
- Knox, J.
- Affiliations
- University of Edinburgh (GB)
- Corresponding author
- Knox, Jeremy
- ORCID
- Knox, Jeremy
- Venue
- Learning, Media and Technology
- Publisher
- Informa UK Limited
- Published
- 2020-04-16
- Volume
- 45
- Issue
- 3
- Pages
- 298-311
- ISSN
- 1743-9884 (ISSN-L)
- 1743-9892
- OpenAlex
- W3017157646
- Cited by
- 489
- References
- 16
- Citations by year
- 2026: 140 · 2025: 126 · 2024: 96 · 2023: 59 · 2022: 34 · 2021: 25 · 2020: 9
- FWCI
- 29.88
- Type
- journal article
- Language
- en
- Open access
- Licence
- public-domain
- Locations
- Learning Media and Technology (publishedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, public-domain)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Social Sciences › Political Science and International Relations › Global Educational Policies and Reforms
- Social Sciences › Education › Digital Education and Society
- Keywords
- artificial intelligence in education, China, political economy of AI, AI policy, educational technology, state-private sector relations
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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