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Levels of Artificial Intelligence Literacy Among Nursing Students: A Systematic Review and Meta-Analysis
Lin Zhao1, Hong Yan, Yang Yang
1Author Affiliations: College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China (Mss Zhao, Yan, Yang, Y. Li, K. Li, and Wan).
Background:
The growing integration of artificial intelligence (AI) into nursing education makes AI literacy a critical competency for students to effectively use AI and advance educational practices.
Purpose:
In this study, we aimed to assess nursing students' AI literacy and to examine the influence of year of study and AI training on their literacy levels.
Methods:
We searched 10 databases from inception to February 23, 2026. A random-effects model was used to pool overall AI literacy scores, with subgroup analyses to explore sources of heterogeneity.
Results:
The meta-analysis included 11 studies. The pooled mean AI literacy score was 4.80 (95% confidence interval: 4.41, 5.19). Subgroup analyses revealed lower scores among first-year students and students without prior AI training.
Conclusions:
AI literacy among nursing students is moderate and needs improvement, particularly among first-year students and those without prior AI training. Educators should implement targeted, tiered training.
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