Özdemir Aydın Gülsün, Küçükaydınoğlu Semiha, Palloş Aylin, Coşkun Ela Yılmaz, Turan Nuray
Istanbul University Faculty of Nursing, Department of Fundamentals of Nursing, Türkiye.
Istanbul University Faculty of Nursing, Department of Fundamentals of Nursing, Türkiye.
Nurse Educ Pract. 2025 Jul;86:104429. doi: 10.1016/j.nepr.2025.104429. Epub 2025 Jun 14.
To assess innovation skills and attitudes toward artificial intelligence BACKGROUND: The rapid advancement of modern healthcare technologies necessitates the transformation of traditionally structured nursing education. Attitudes toward innovation and artificial intelligence technologies will be crucial in determining their future impact on patient care. Therefore, assessing these attitudes early will be a significant step in shaping the future of nursing education.
A cross-sectional multicenter study and adhering to STROBE guidelines.
The study was performed at nursing schools of three universities, surveying a total of 269 first-year nursing students enrolled in 2024. A validated instrument, Innovation Skills Measurement Tool for Youth and the General Attitudes towards Artificial Intelligence Scale. Descriptive statistics, Student's t-test and One-Way ANOVA tests were used in the analyses.
Students demonstrated high innovation skills (121.51 (SD 23.42) and positive attitudes towards artificial intelligence (65.83 (SD 8.99). Innovation skills were significantly higher among those knowledgeable about healthcare innovation (125.63 (SD 23.20) and those following innovation-related applications (129.16 (SD 24.66). Positive AI attitudes were higher in those familiar with AI (67.31 (SD 8.83), those using AI-based applications (67.39 (SD 8.95) and those interested in developing innovative products (68.13 (SD 9.66) (p < 0.05). A moderate correlation was found between positive AI attitudes and innovation skills (r = .314).
First-year nursing students generally have a positive attitude towards artificial intelligence; however, concerns remain regarding its use in daily practice. This suggests that specialized training programs focusing on both artificial intelligence applications and innovation skills could be beneficial for nursing students.
评估创新技能以及对人工智能的态度
现代医疗技术的迅速发展使得传统结构的护理教育必须进行变革。对创新和人工智能技术的态度对于确定它们未来对患者护理的影响至关重要。因此，尽早评估这些态度将是塑造护理教育未来的重要一步。
一项横断面多中心研究，并遵循加强流行病学观察性研究报告规范（STROBE）指南。
该研究在三所大学的护理学院进行，共调查了2024年入学的269名一年级护理学生。使用了经过验证的工具——青年创新技能测量工具和人工智能总体态度量表。分析中采用了描述性统计、学生t检验和单因素方差分析。
学生表现出较高的创新技能（121.51（标准差23.42））以及对人工智能的积极态度（65.83（标准差8.99））。在了解医疗保健创新的学生中（125.63（标准差23.20））以及关注创新相关应用的学生中（129.16（标准差24.66）），创新技能显著更高。在熟悉人工智能的学生中（67.31（标准差8.83））、使用基于人工智能应用的学生中（67.39（标准差8.95））以及对开发创新产品感兴趣的学生中（68.13（标准差9.66）），对人工智能的积极态度更高（p < 0.05）。在对人工智能的积极态度和创新技能之间发现了中等程度的相关性（r = 0.314）。
一年级护理学生总体上对人工智能持积极态度；然而，对于其在日常实践中的使用仍存在担忧。这表明专注于人工智能应用和创新技能的专门培训项目可能对护理学生有益。
