Conceptualizing AI literacy: An exploratory review
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Date
2021-11-02
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
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.
Description
Keywords
AI literacy, AI learning and teaching, AI in education, AI ethics, AI literacy questionnaire
Citation
Davy Tsz Kit Ng, Jac Ka Lok Leung, Samuel Kai Wah Chu, Maggie Shen Qiao, Conceptualizing AI literacy: An exploratory review, Computers and Education: Artificial Intelligence, Volume 2, 2021, 100041, ISSN 2666-920X, https://doi.org/10.1016/j.caeai.2021.100041. (https://www.sciencedirect.com/science/article/pii/S2666920X21000357)