Artificial Intelligence and K-12 Education: Possibilities, Pedagogies and Risks

Mintz, Joseph; Holmes, Wayne; Liu, Leping; Perez-Ortiz, Maria

doi:10.1080/07380569.2023.2279870

Cited by 75Artificial Intelligence in EducationArtificial Intelligence in Healthcare and EducationIntelligent Tutoring Systems and Adaptive Learning

Artificial Intelligence and K-12 Education: Possibilities, Pedagogies and Risks

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Mintz, Joseph, Holmes, Wayne, Liu, Leping, Perez-Ortiz, Maria·2023·Computers in the Schools

DOI 10.1080/07380569.2023.2279870

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Abstract

On November 30, 2022, school education changed. This was the day on which OpenAI, a research laboratory based in San Francisco, launched to an unsuspecting public the generative Artificial Intellig...

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The relatively low number of studies at the primary and secondary levels may be influenced by barriers including ethical concerns related to minors, curricular rigidity, limited technical infrastructure in schools, and perceived risks of deploying emerging technologies in early education.
“On the other hand, the relatively low number of studies at the primary and secondary levels may be influenced by a range of barriers, including ethical concerns related to minors, curricular rigidity, limited technical infrastructure in schools, and the perceived risks associated with deploying emerging technologies in early education [50,51].”
From Systematic review of artificial intelligence in education: trends, benefits, and challenges (2025) · cites this paper as [50]

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Background
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Authors: Mintz, J., Holmes, W., Liu, L., & Perez-Ortiz, M.
Affiliations: University College London (GB)
University of Nevada, Reno (US)
University College London, London, UK
Corresponding author: Mintz, Joseph
ORCID: Mintz, Joseph
Holmes, Wayne
Liu, Leping
Venue: Computers in the Schools
Publisher: Informa UK Limited
Published: 2023-10-02
Volume: 40
Issue: 4
Pages: 325-333
ISSN: 0738-0569 (ISSN-L)
1528-7033
DOI: 10.1080/07380569.2023.2279870
OpenAlex: W4389092000
Cited by: 74
References: 5
Citations by year: 2026: 36 · 2025: 26 · 2024: 12
FWCI: 17.37
Type: journal article
Language: en
Open access: bronze
doi.org
Locations: Computers in the Schools (publishedVersion)
UCL Discovery (University College London) (submittedVersion)
Topics: Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
Keywords: artificial intelligence in education, K-12 education, generative AI, AI pedagogy, AI adoption in schools

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Artificial Intelligence and K-12 Education: Possibilities, Pedagogies and Risks

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