The relationship between first-year nursing students' innovation skills and attitudes toward artificial intelligence: A multicentre study

IF 3.3 3区医学 Q1 NURSING

Nurse Education in Practice Pub Date : 2025-06-14 DOI:10.1016/j.nepr.2025.104429

Gülsün Özdemir Aydın , Semiha Küçükaydınoğlu , Aylin Palloş , Ela Yılmaz Coşkun , Nuray Turan

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引用次数: 0

Abstract

Aim

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.

Design

A cross-sectional multicenter study and adhering to STROBE guidelines.

Method

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.

Results

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).

Conclusions

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.

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一年级护生创新技能与人工智能态度的关系：一项多中心研究

目的评估创新技能和对人工智能的态度背景现代医疗技术的快速发展要求传统的结构化护理教育进行转型。对创新和人工智能技术的态度将决定它们未来对患者护理的影响。因此，早期评估这些态度将是塑造护理教育未来的重要一步。设计一项横断面多中心研究，并遵循STROBE指南。方法本研究在三所大学护理学院进行，调查了2024年入学的269名护理一年级学生。一个经过验证的工具，青年创新技能测量工具和对人工智能的普遍态度量表。分析采用描述性统计、学生t检验和单因素方差分析检验。结果学生的创新能力得分为121.51（标准差23.42），对人工智能的态度得分为65.83（标准差8.99）。在医疗创新知识（125.63 (SD 23.20)）和创新相关应用知识（129.16 (SD 24.66)）中，创新技能显著高于知识（125.63 (SD 23.20)）。熟悉人工智能的人（67.31（标准差8.83））、使用人工智能应用程序的人（67.39（标准差8.95））和对开发创新产品感兴趣的人（68.13（标准差9.66））对人工智能持积极态度（p <； 0.05）。积极的人工智能态度与创新技能之间存在中等相关性（r = .314）。结论大一护生对人工智能的态度普遍持积极态度；然而，对其在日常实践中的使用仍然存在担忧。这表明，专注于人工智能应用和创新技能的专业培训计划可能对护理专业的学生有益。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nurse Education in Practice NURSING-

CiteScore

5.40

自引率

9.40%

发文量

180

审稿时长

51 days

期刊介绍： Nurse Education in Practice enables lecturers and practitioners to both share and disseminate evidence that demonstrates the actual practice of education as it is experienced in the realities of their respective work environments. It is supportive of new authors and will be at the forefront in publishing individual and collaborative papers that demonstrate the link between education and practice.