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.
Authors
- Teresa H. M. Leung (ORCID: https://orcid.org/0009-0005-8749-5804)
- Yixun Li (ORCID: https://orcid.org/0000-0003-2193-6126)
- Junnan Yu (ORCID: https://orcid.org/0000-0002-0869-0304)
- Kaiyue Jia (ORCID: https://orcid.org/0009-0008-1806-3815)
- Ngai Cheung
Institutions
- Hong Kong Polytechnic University (HK)
- Hong Kong University of Science and Technology (HK)
- Education University of Hong Kong (HK)
- University of Hong Kong (HK)
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