Conceptualizing AI literacy: An exploratory review

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 vi...

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Vydáno v:Computers and education. Artificial intelligence Ročník 2; s. 100041
Hlavní autoři: Ng, Davy Tsz Kit, Leung, Jac Ka Lok, Chu, Samuel Kai Wah, Qiao, Maggie Shen
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 2021
Elsevier
Témata:
AI ethics
AI in education
AI learning and teaching
AI literacy
AI literacy questionnaire
AI learning and teaching
AI ethics
AI in education
AI literacy questionnaire
AI literacy
ISSN:2666-920X, 2666-920X
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Shrnutí: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.
ISSN:2666-920X
2666-920X
DOI:10.1016/j.caeai.2021.100041