A cross-sectional survey examines the factors influencing artificial intelligence literacy in nursing undergraduates, suggesting improvements for education.
There is a potential shortage of information-based teaching resources in Northeast China, and the artificial intelligence literacy of nursing undergraduates and related factors are not clear. This is a cross-sectional survey study conducted in the northeastern region of China. In this study, 546 nursing undergraduates were studied. The data was collected through a mobile app-based survey in October 2024. We assessed demographic factors and artificial intelligence literacy. The total score of artificial intelligence literacy of nursing undergraduates was 134.40 ± 4.38. Regression analysis showed that gender, monthly household income, attitude towards artificial intelligence, and whether or not participating in artificial intelligence-related education/training had a significant negative effect on artificial intelligence literacy (p < .05). It is recommended to formulate effective measures in combination with relevant factors to improve the artificial intelligence literacy of nursing undergraduates in areas with a potential shortage of information-based teaching resources and promote the digital transformation of nursing undergraduates’ future careers. Not applicable.
No takes yet. Share an insight, caveat, or question.
Chen et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: