本科护生人工智能焦虑的潜在剖面分析OA

Objective:To analyze the latent profiles of artificial intelligence anxiety among undergraduate nursing students,and to explore the influencing factors of artificial intelligence anxiety among different profiles of nursing students.Methods:Using the convenience sampling method,from April to May 2025,a total of 720 undergraduate nursing students from three medical colleges in Hubei province were selected as the research subjects.The general information questionnaire,Artificial Intelligence Anxiety Scale(AIAS)and Medical Artificial Intelligence Readiness Scale(MAIRS)were used for the investigation.Results:The score of artificial intelligence anxiety among undergraduate nursing students was 86.00±20.95.They could be divided into three latent profiles:low anxiety-rational alertness type(10.4%),medium anxiety-risk sensitivity type(65.3%),and high anxiety-generalized fear type(24.3%).Logistic regression analysis results showed that grade,the willingness to try using artificial intelligence tools in clinical practice,and medical artificial intelligence readiness were the influencing factors of artificial intelligence anxiety among undergraduate nursing students(all P<0.05).Conclusion:The artificial intelligence anxiety among undergraduate nursing students is at a moderately high level.There is heterogeneity.Nursing educators need to develop precise intervention plans for undergraduate nursing students based on the influencing factors,so as to help them better adapt to the nursing education and career development requirements in the era of intelligence.