Zheyi Jiang, Qiaomei Liu, Na Jiang, Meng Ning, Qiang Yu
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Artificial Intelligence Literacy and Its Associated Factors Among Nursing Students.
Background: Artificial intelligence (AI) is transforming health care, necessitating essential AI literacy among nursing students. Understanding their literacy levels and influencing factors is essential for designing teaching strategies and learning environments that promote effective AI integration.
Objective: To assess AI literacy among nursing students and identify associated demographic, experiential, and educational climate factors.
Methods: A cross-sectional survey was conducted among 2430 nursing students from 14 institutions in Hunan, China. Data were collected on demographics, AI use and training, perceptions of educational climate, and AI literacy. Analyses included descriptive statistics, correlations, and multiple linear regression.
Results: Nursing students showed moderate AI literacy. Higher scores were linked to male gender, bachelor-level education, advanced year level, greater AI interest and usage, prior training, and a positive educational climate. The regression model explained 38.2% of the variance (R2 = 0.382, P < .001).
Conclusion: Targeted AI education and a supportive learning environment can enhance nursing students' literacy for AI integration in clinical practice.
期刊介绍：
Nurse Educator, a scholarly, peer reviewed journal for faculty and administrators in schools of nursing and nurse educators in other settings, provides practical information and research related to nursing education. Topics include program, curriculum, course, and faculty development; teaching and learning in nursing; technology in nursing education; simulation; clinical teaching and evaluation; testing and measurement; trends and issues; and research in nursing education.
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