Relationship between nursing students' views on robot nurses, artificial intelligence applications, and their innovativeness

IF 1.9 Q2 NURSING

Teaching and Learning in Nursing Pub Date : 2025-04-07 DOI:10.1016/j.teln.2025.02.029

Sevim Cankara Msc , Eda Ergin , Sebnem ÇINAR Yücel

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Abstract

Background

Understanding nursing students' perspectives on artificial intelligence and robotics is essential for preparing them for future practice.

Aim

This study aimed to investigate the opinions of nursing students in western Turkey on innovation, robot nurses, and artificial intelligence applications.

Methods

This descriptive cross-sectional study, conducted in line with STROBE guidelines, included 341 nursing faculty students (January–May 2022). Data were collected using the “Student Information Form,” “Questionnaire on Students' Innovative Ideas, Artificial Intelligence, and Robot Nurses,” and the “Individual Innovativeness Scale” (IIS).

Results

The three most preferred tasks for AI-powered robots were “Measuring patients’ height and weight” (92.1%), “Preventing falls” (91.2%), and “Changing bed linens” (90%). The mean IIS score was 54.05 ± 13.66.

Conclusion

Participants were categorized as traditionalists rather than innovators. Those who believed AI-powered robots would benefit nursing had lower IIS scores.

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护生对机器人护士、人工智能应用及其创新性的看法

了解护理学生对人工智能和机器人技术的看法对他们为未来的实践做好准备至关重要。目的本研究旨在调查土耳其西部护生对创新、机器人护士和人工智能应用的看法。方法本描述性横断面研究按照STROBE指南进行，纳入341名护理学院学生（2022年1月至5月）。采用《学生信息表》、《学生创新观念、人工智能与机器人护士问卷》和《个人创新能力量表》进行数据收集。结果人工智能机器人最喜欢的三项任务是“测量患者身高和体重”（92.1%）、“防止跌倒”（91.2%）和“更换床单”（90%）。平均IIS评分为54.05±13.66。参与者被归类为传统主义者而非创新者。那些相信人工智能机器人将有利于护理的人的IIS得分较低。

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

Teaching and Learning in Nursing NURSING-

CiteScore

2.60

自引率

10.50%

发文量

119

审稿时长

37 days

期刊介绍： Teaching and Learning in Nursing is the Official Journal of the National Organization of Associate Degree Nursing. The journal is dedicated to the advancement of Associate Degree Nursing education and practice, and promotes collaboration in charting the future of health care education and delivery. Topics include: - Managing Different Learning Styles - New Faculty Mentoring - Legal Issues - Research - Legislative Issues - Instructional Design Strategies - Leadership, Management Roles - Unique Funding for Programs and Faculty