Artificial intelligence literacy of nursing students: A cross-sectional study

Area of Science:

• Nursing Education
• Artificial Intelligence
• Digital Health Literacy

Background:

• Artificial intelligence (AI) integration in nursing necessitates AI literacy for students.
• Limited data exists on AI literacy status and influencing factors among Chinese nursing students.

Purpose of the Study:

• Assess AI literacy (Awareness, Application, Evaluation, Ethics) in Chinese nursing students.
• Identify factors influencing AI literacy.
• Inform AI curriculum development for vocational nursing education.

Main Methods:

• Cross-sectional study with 155 sophomore nursing students from Henan Vocational University of Science and Technology.
• Data collected using the Artificial Intelligence Literacy Scale (AILS).
• Nonparametric tests and ordinal logistic regression used for analysis.

Main Results:

• Overall AI literacy was moderate (Median = 60.00).
• The Application dimension showed the highest scores.
• Gender and interest in AI were identified as independent influencing factors.
• All four AI literacy dimensions exhibited strong positive correlations.

Conclusions:

• Nursing education should incorporate AI content and targeted training.
• Focus on enhancing AI awareness, critical evaluation, and ethical considerations.
• Provide tailored support for female students and foster greater interest in AI.