journalArticle

Conceptualizing AI literacy: An exploratory review

Davy Tsz Kit Ng, Jac Ka Lok Leung, Samuel Kai Wah Chu, Maggie Shen Qiao

2021-00-00 2021

In: Computers and education. Artificial intelligence

Vol. 2 , pp. 100041

DOI: 10.1016/j.caeai.2021.100041

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Zotero Key: 98W9NKDF

Abstract

Artificial Intelligence (AI) has spread across industries (e.g., business, science, art, education) to enhance user experience, improve work efficiency, and create many future job opportunities. However, public understanding of AI technologies and how to define AI literacy is under-explored. This vision poses upcoming challenges for our next generation to learn about AI. On this note, an exploratory review was conducted to conceptualize the newly emerging concept “AI literacy”, in search for a sound theoretical foundation to define, teach and evaluate AI literacy. Grounded in literature on 30 existing peer-reviewed articles, this review proposed four aspects (i.e., know and understand, use and apply, evaluate and create, and ethical issues) for fostering AI literacy based on the adaptation of classic literacies. This study sheds light on the consolidated definition, teaching, and ethical concerns on AI literacy, establishing the groundwork for future research such as competency development and assessment criteria on AI literacy. •Research on AI literacy has not been widely published in educational journals.•An exploratory review was conducted to conceptualize the newly emerging concept “AI literacy” to define, teach and evaluate AI literacy.•This review proposed four aspects (i.e., know and understand, use, evaluate and ethical issues) for fostering AI literacy based on the adaptation of classic literacies.

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