Objective: To evaluate the current status of artificial intelligence literacy among nursing students and analyze its influencing factors, in order to provide a scientific basis for integrating AI literacy education into nursing education. Methods: A cross-sectional study design was adopted, and a questionnaire was distributed to nursing students in a university in Henan Province through the Wenjuanxing platform from April to May 2025. A total of 337 valid questionnaires were collected. Conduct a survey and analysis of the current situation using the Deep Learning Scale for College Students, the Learning Engagement Scale for College Students, and the Artificial Intelligence Literacy Scale for College Students. Results: The overall AI literacy ability of nursing students is at a moderate level (95.12 ± 19.90). Correlation analysis shows that the artificial intelligence literacy ability of college students is significantly positively correlated with their deep learning (r = 0.404, P < 0.01) and learning engagement (r = 0.307, P < 0.01). The results of multiple factor analysis showed that factors such as grade, family economic status, exposure to AI related courses/training, daily use of AI time, deep learning among college students, and college students’ learning engagement had a significant impact on their artificial intelligence literacy ability (P < 0.05). Conclusion: The AI literacy ability of nursing students needs to be improved. Suggest increasing opportunities for AI practice and integrating AI literacy content into nursing education to encourage deep learning and high engagement, in order to enhance students’ AI literacy abilities.
Cite this paper
Miao, Y. , Zhang, Q. , Li, X. , Chen, C. , Huang, J. and Zhao, C. (2025). Analysis of the Current Status and Influencing Factors of Artificial Intelligence Literacy Ability among Nursing Students. Open Access Library Journal, 12, e14292. doi: http://dx.doi.org/10.4236/oalib.1114292.
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