Nursing Students' Perceptions and Attitudes on the Application of Artificial Intelligence in Nursing Education: A Mixed‐Methods Systematic Review

作者：Yuhang Li, Shi Chen, Xiaohui Dong, Xianying Lu, Xinyu Chen, Dingxi Bai, Wen Luo, Ting Cao, Zihao Song, Chaoming Hou, Jing Gao · 发表于：Journal of Advanced Nursing · 年份：2025 · DOI：10.1111/jan.70386 · 被引用次数：1 · 研究领域：Artificial Intelligence in Healthcare and Education、Simulation-Based Education in Healthcare、AI in Service Interactions

BACKGROUND: The utilisation of artificial intelligence in the context of nursing education has become increasingly extensive. However, various studies show differing perspectives and attitudes among nursing students, and the findings have not been systematically synthesised. AIM: To systematically review the perceptions and attitudes of nursing students on the application of artificial intelligence in nursing education. DESIGN: Mixed-methods systematic review. METHOD: A comprehensive literature search was conducted across 10 databases, including PubMed, Cochrane, Embase, Web of Science, CINAHL, Scopus, China Science and Technology Journal Database, SinoMed, China National Knowledge Internet, and WanFang database, the inclusive years of articles searched were from 1969 to 2025. Two researchers independently screened the literature and extracted the data. The mixed methods assessment tool was used to evaluate the risk of bias in the included literature. The relevant data were extracted and synthesised according to the Joanna Briggs Institute's convergence synthesis method, ensuring the comprehensive integration of qualitative and quantitative results. These results were then integrated into the Technology Acceptance Model. RESULTS: A total of 28 articles were included, including 13 qualitative studies, 13 quantitative studies, and 2 mixed-method studies. According to the Technology Acceptance Model, the perceptions and attitudes of nursing students on the nursing education's ad...