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Developing a holistic AI literacy framework for children

  • Kaiyue JIA
  • , Teresa H. M. LEUNG
  • , Ngai Yan Irene CHEUNG
  • , Yixun LI
  • , Junnan YU

Research output: Contribution to journalArticlespeer-review

Abstract

The increasing prevalence of 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. Copyright © 2025 held by the owner/author(s).

Original languageEnglish
Article number21
JournalACM Transactions on Computing Education
Volume25
Issue number2
Early online dateApr 2025
DOIs
Publication statusPublished - Jun 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

Keywords

  • AI literacy
  • AI education
  • Children
  • Framework development

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