A systematic review of AI education in K-12 classrooms from 2018 to 2023: Topics, strategies, and learning outcomes
Article Status
Published
Authors/contributors
- Lee, Sang Joon (Author)
- Kwon, Kyungbin (Author)
Title
A systematic review of AI education in K-12 classrooms from 2018 to 2023: Topics, strategies, and learning outcomes
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.
Publication
Computers and Education: Artificial Intelligence
Date
2024-6
Volume
6
Pages
100211
Journal Abbr
Comput. Educ. Artif. Intell.
Citation Key
lee2024a
Accessed
14/06/2024, 16:34
ISSN
2666-920X
Short Title
A systematic review of AI education in K-12 classrooms from 2018 to 2023
Language
en
Library Catalogue
ScienceDirect
Extra
<标题>: 2018年至2023年K-12课堂人工智能教育的系统综述:主题、策略与学习成果
Read_Status: New
Read_Status_Date: 2026-01-26T11:33:49.150Z
Citation
Lee, S. J., & Kwon, K. (2024). A systematic review of AI education in K-12 classrooms from 2018 to 2023: Topics, strategies, and learning outcomes. Computers and Education: Artificial Intelligence, 6, 100211. https://doi.org/10.1016/j.caeai.2024.100211
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