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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).
Nurse Educator
|May 14, 2026
Summary
Nursing students have moderate artificial intelligence (AI) literacy, with lower scores for first-year students and those lacking AI training. Targeted educational interventions are recommended to improve AI competency in nursing programs.
Area of Science:
- Nursing Education
- Artificial Intelligence
Background:
- Artificial intelligence (AI) integration in nursing education necessitates AI literacy for students.
- Developing AI literacy is crucial for effective AI utilization and educational advancement.
Purpose of the Study:
- To assess the AI literacy levels of nursing students.
- To investigate the impact of academic year and AI training on nursing students' AI literacy.
Main Methods:
- A systematic literature search was conducted across 10 databases.
- A random-effects model meta-analysis pooled AI literacy scores from 11 included studies.
- Subgroup analyses were performed to identify factors influencing AI literacy.
Main Results:
- The pooled mean AI literacy score among nursing students was 4.80.
- Lower AI literacy scores were observed in first-year students compared to senior students.
- Students without prior AI training demonstrated significantly lower AI literacy levels.
Conclusions:
- Nursing students exhibit moderate AI literacy, indicating a need for enhancement.
- First-year students and those without AI training require focused educational support.
- Implementing tiered, targeted AI training programs is essential for educators.
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