Conceptualizing AI literacy: An exploratory review

By Davy Tsz Kit Ng, Jac Ka Lok Leung, S. K. Chu, Maggie Shen Qiao. Computers and Education: Artificial Intelligence, 2021

1,789 citations recorded by the source corpus.

Subfields: Computer Science Applications, Health Informatics, Safety Research

View Paper: https://www.semanticscholar.org/paper/17dec4292289bfaa1b5342a8719a58b9f88cd4ec

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Citations in the corpus

Language and literacy (2009, neutral): “ABC Life Literacy is funded by government, private corporations, banks and individual supports (ABC Life Literacy Canada, 2025b) and has survived the defunding of literacy in the last several decades (Elfert & Walker, 2020).”
AI literacy and its implications for prompt engineering strategies (2024, background): “While we acknowledge the valuable contribution of Long and Magerko (2020), AI literacy may encompass additional aspects (see, e.g., Ng et al., 2021).”
Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world (2023, methodology): “Although recent research effort has been put to address the need of fostering students’ AI competencies (e.g., Kong et al., 2021; Ng et al., 2021a, b; Xia et al., 2022), rarely do studies reveal what digital competencies teachers need to become ready in an AI-driven learning environment.”
MAILS - Meta AI Literacy Scale: Development and Testing of an AI Literacy Questionnaire Based on Well-Founded Competency Models and Psychological Change- and Meta-Competencies (2023, methodology): “There are many different conceptualizations and definitions of AI Literacy: Ng and colleagues, in their review on AI literacy conceptualisations in education, postulate that these can be organized into four concepts: (1) know and understand AI, (2) use and apply AI, (3) evaluate and create AI, and (”
Exploring students’ perspectives on Generative AI-assisted academic writing (2024, neutral): “GenAI refers to intelligent algorithms that can interact with users through natural language exchanges (conversations) to generate new content, refine responses to meet users’ needs and simulate human intelligence (Choudhurri, 2023; Ng et al., 2021).”
Promises and challenges of generative artificial intelligence for human learning (2024, neutral): “These steps are essential for cultivating AI literacy 75 , as discussed further in the section ‘AI literacy’.”