Developing a Holistic AI Literacy Framework for Children

The increasing prevalence of artificial intelligence (AI) in everyday life has intensified the emphasis on teaching AI literacy to children. However, there is no consensus on the specific knowledge and skills that constitute children’s AI literacy, resulting in varied AI learning materials for young people. We systematically searched for educational practices for children’s AI learning in both formal and informal settings and examined the AI learning content taught to children. Our findings led to the development of a holistic AI literacy framework for children, which contains three high-level dimensions and eight content areas of AI literacy: AI awareness (AI definition, AI application, and AI history), AI mechanics (AI input, learning procedure, and AI output), and AI impacts (AI implication and responsible practice). Theoretically, we contribute a research-based, comprehensive, and current framework for children’s AI literacy, advancing its conceptualization in early life stages. Practically, our framework can guide researchers and practitioners in promoting AI education for the next generation.

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Publication Details

Journal
ACM Transactions on Computing Education
Published
2025-04-03
DOI
https://doi.org/10.1145/3727986
Citations
7
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
11.86
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article

Developing a Holistic AI Literacy Framework for Children

Teresa H. M. Leung, Yixun Li, Junnan Yu, Kaiyue Jia et al.
7 citations
ACM Transactions on Computing Education
Teaching and Learning Programming
11.86
article

Developing a Holistic AI Literacy Framework for Children

Teresa H. M. Leung, Yixun Li, Junnan Yu, Kaiyue Jia, Ngai Cheung
article en
7 citations

Abstract

The increasing prevalence of artificial intelligence (AI) in everyday life has intensified the emphasis on teaching AI literacy to children. However, there is no consensus on the specific knowledge and skills that constitute children’s AI literacy, resulting in varied AI learning materials for young people. We systematically searched for educational practices for children’s AI learning in both formal and informal settings and examined the AI learning content taught to children. Our findings led to the development of a holistic AI literacy framework for children, which contains three high-level dimensions and eight content areas of AI literacy: AI awareness (AI definition, AI application, and AI history), AI mechanics (AI input, learning procedure, and AI output), and AI impacts (AI implication and responsible practice). Theoretically, we contribute a research-based, comprehensive, and current framework for children’s AI literacy, advancing its conceptualization in early life stages. Practically, our framework can guide researchers and practitioners in promoting AI education for the next generation.

ACM Transactions on Computing Education
Hong Kong Polytechnic University (HK), Hong Kong University of Science and Technology (HK), Education University of Hong Kong (HK), University of Hong Kong (HK)
Quality Education
Openalex Percentile: Top 2%
Teaching and Learning Programming
11.86
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Developing a Holistic AI Literacy Framework for Children — Teresa H. M. Leung, Yixun Li, et al. · ACM Transactions on Computing Education (2025) | TGRS Research Map | TGRS