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Cited by 171Artificial Intelligence in EducationTeaching and Learning ProgrammingProblem and Project Based Learning

The DOI matches its Crossref record; 56 of the 57 references it cites were found in a registry or an index.

A systematic review of AI education in K–12 classrooms from 2018 to 2023: Topics, strategies, and learning outcomes

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Lee, Sang Joon, Kwon, Kyungbin·2024·Computers and Education: Artificial Intelligence
DOI 10.1016/j.caeai.2024.100211
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Abstract

AI education aims to teach AI concepts, essential knowledge, and skills related to the fundamental ideas in AI. As AI becomes increasingly prevalent in our daily lives, schools and educators have started to recognize the importance of AI education in K-12 schools. However, there have been a limited number of studies reporting on the implementation of AI education in classrooms. This systematic review aimed to provide an overview of the current state of AI education in K-12 schools, exploring topics, instructional approaches, and learning outcomes. Twenty-five peer-reviewed journal articles published between 2018 and 2023 were selected for this systematic review. The findings highlighted that various topics were covered in K-12 AI education, including fundamental AI concepts, different types of AI, AI applications, and ethical considerations related to AI. To facilitate meaningful learning experiences, educators frequently integrated hands-on activities and project-based learning. The findings supported the benefits of AI education in enhancing students' AI literacy, problem-solving skills, and ethical reflections on AI's societal impact. Furthermore, it fostered motivation, positive attitudes toward AI, and an interest in technology while inspiring career aspirations. It is recommended to develop tailored AI curricula, instructional strategies, and appropriate tools and resources that seamlessly integrate into various subjects within the standard school curriculum.

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Crossref · 10.1016/j.caeai.2024.100211

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  1. Chu, 2022, Roles and research trends of artificial intelligence in higher education: A systematic review of the top 50 most-cited articles, Australasian Journal of Educational Technology, 38, 22

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Metadata

Authors
Lee, S. J., & Kwon, K.
Affiliations
  • Mississippi State University (US)
  • Indiana University Bloomington (US)
Corresponding author
Lee, Sang Joon
ORCID
Venue
Computers and Education: Artificial Intelligence
Publisher
Elsevier BV
Published
2024-06
Volume
6
Pages
100211
ISSN
2666-920X (ISSN-L)
DOI
10.1016/j.caeai.2024.100211
OpenAlex
W4391792217
Cited by
169
References
57
Citations by year
2026: 75 · 2025: 69 · 2024: 25
FWCI
9.70
Type
journal article
Language
en
Open access
Licence
Locations
  • Computers and Education Artificial Intelligence (publishedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
US Department of Defense
Topics
  • Social Sciences › Education › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
  • Social Sciences › Education › Problem and Project Based Learning
Keywords
artificial intelligence in education, K-12 education, AI literacy, AI ethics education, project-based learning, hands-on activities, learning outcomes, student motivation, attitudes toward AI, career aspirations, AI curriculum, teaching methods

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