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注册护士对ChatGPT和自主学习的态度:一项横断面研究。

Registered Nurses' Attitudes Towards ChatGPT and Self-Directed Learning: A Cross-Sectional Study.

作者信息

Chang Li-Chun, Wang Ya-Ni, Lin Hui-Ling, Liao Li-Ling

机构信息

School of Nursing, Chang Gung University of Science and Technology, Taoyuan, Taiwan, R.O.C.

Department of Nursing, Linkou Branch, Chang Gung Memorial Hospital, Taoyuan, Taiwan, R.O.C.

出版信息

J Adv Nurs. 2024 Oct 9. doi: 10.1111/jan.16519.

Abstract

BACKGROUND

Self-directed, lifelong learning is essential for nurses' competence in complex healthcare environments, which are characterised by rapid advancements in medicine and technology and nursing shortages. Previous studies have demonstrated that ChatGPT technology fosters self-directed learning by motivating users to engage with it.

OBJECTIVES

To explore the relationships amongst socio-demographic data, attitudes towards ChatGPT use, and self-directed learning amongst registered nurses in Taiwan.

METHODS

A cross-sectional study design with an online survey was adopted. Registered nurses from various healthcare settings were recruited through Facebook and LINE, a widely used messaging application in East Asia, reaching over 1000 nurses across five distinct online groups. An online survey was used to collect data, including socio-demographic characteristics, attitudes towards ChatGPT use, and a self-directed learning scale. Data were analysed using descriptive statistical methods, t-tests, Pearson's correlation, one-way analysis of variance, and multiple linear regression analysis.

RESULTS

Amongst the 330 participants, 50.6% worked in hospitals, 51.8% had more than 15 years of work experience, and 78.2% did not hold supervisory positions. Of the participants, 46.7% had used ChatGPT. For all nurses, work experience and awareness of ChatGPT statistically significantly predicted self-directed learning, explaining 32.0% of the variance. For those familiar with ChatGPT, work experience in nursing and the technological/social influence of ChatGPT statistically significantly predicted self-directed learning, explaining 35.3% of the variance.

CONCLUSIONS

Work experience in nursing provides critical opportunities for professional development and training. Therefore, ChatGPT-supported self-directed learning should be customised for degrees of experience to optimise continuous education.

IMPLICATIONS FOR NURSING MANAGEMENT AND HEALTH POLICY

This study explores nurses' diverse use of and attitudes towards ChatGPT for self-directed learning. It suggests that administrators customise support and training when incorporating ChatGPT into professional development, accounting for nurses' varied experiences to enhance learning outcomes.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

REPORTING METHOD

This study adhered to the relevant cross-sectional STROBE guidelines.

摘要

背景

在医学和技术快速发展且护理人员短缺的复杂医疗环境中,自主的终身学习对于护士的能力至关重要。先前的研究表明,ChatGPT技术通过激励用户与之互动来促进自主学习。

目的

探讨台湾注册护士的社会人口统计学数据、对使用ChatGPT的态度与自主学习之间的关系。

方法

采用在线调查的横断面研究设计。通过脸书和东亚广泛使用的即时通讯应用程序LINE,从不同医疗环境中招募注册护士,覆盖五个不同在线群组的1000多名护士。使用在线调查收集数据,包括社会人口统计学特征、对使用ChatGPT的态度以及自主学习量表。采用描述性统计方法、t检验、皮尔逊相关性分析、单因素方差分析和多元线性回归分析对数据进行分析。

结果

在330名参与者中,50.6%在医院工作,51.8%有超过15年的工作经验,78.2%没有担任管理职位。46.7%的参与者使用过ChatGPT。对于所有护士而言,工作经验和对ChatGPT的认知在统计学上显著预测自主学习,解释了32.0%的方差。对于熟悉ChatGPT的护士,护理工作经验以及ChatGPT的技术/社会影响在统计学上显著预测自主学习,解释了35.3%的方差。

结论

护理工作经验为专业发展和培训提供了关键机会。因此,应根据经验程度定制ChatGPT支持的自主学习,以优化继续教育。

对护理管理和卫生政策的启示

本研究探讨了护士对ChatGPT用于自主学习的多样化使用和态度。这表明管理人员在将ChatGPT纳入专业发展时应定制支持和培训,考虑护士的不同经验以提高学习效果。

患者或公众贡献

无患者或公众贡献。

报告方法

本研究遵循相关的横断面STROBE指南。

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