Nursing students' attitudes and literacy toward artificial intelligence: a cross-sectional study

IF 1.9 Q2 NURSING

Teaching and Learning in Nursing Pub Date : 2025-01-01 DOI:10.1016/j.teln.2024.10.022

Aylin Akca Sumengen , Damla Ozcevik Subasi , Gokce Naz Cakir

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引用次数: 0

Abstract

Background

Artificial intelligence (AI) is becoming increasingly important in healthcare. New nurses need to develop digital literacy skills to adapt to high-tech healthcare environments. AI is transforming nursing practice, improving decision-making, patient outcomes, and workflows. It's important to assess nursing students' skills and attitudes towards AI before they take patient care responsibilities.

Aim

This study aims to evaluate nursing students' attitudes and literacy levels related to AI. With AI becoming more prevalent in healthcare, it's important to understand how prepared nursing students are to use AI technologies effectively in clinical practice.

Methods

A descriptive, correlational, and cross-sectional research design was used. This study was conducted with 205 undergraduate nursing students studying at a private foundational university in Turkey. The data collection process started on 4 May 2024 and ended on 4 June 2024. Data for this study was collected through the Participant Introduction Form, the Artificial Intelligence Literacy Scale (AILS), and the General Attitudes Towards Artificial Intelligence Scale (GAAIS). We used Student's t-test and ANOVA. Pearson correlation analysis was used to assess the relationship between age, GAAIS, and AILS.

Results

Out of the 205 undergraduate nursing students who participated in the study, 87.8% were female. Male students had significantly higher Positive GAAIS scores compared to female students. Students who had previous education about AI scored higher in AI awareness, usage, and evaluation as well as the total AILS scale scores (p < 0.05). There was a positive correlation between positive GAAIS and the subdimensions of awareness (p < 0.001), AI usage (p < 0.001), AI evaluation (p < 0.001), and total AILS (p < 0.001) scores. In addition, as the total AILS score increased, negative GAAIS scores decreased (p < 0.05).

Conclusions

This study suggests that enhancing AI literacy among nursing students fosters more positive attitudes toward AI while increasing AI awareness and usage reduces negative attitudes. These findings highlight the need for integrating AI education into nursing curricula to better prepare students for the evolving healthcare landscape.

查看原文本刊更多论文

背景人工智能（AI）在医疗保健领域正变得越来越重要。新护士需要培养数字扫盲技能，以适应高科技医疗环境。人工智能正在改变护理实践，改善决策、患者治疗效果和工作流程。本研究旨在评估护理专业学生对人工智能的态度和知识水平。随着人工智能在医疗保健领域的日益普及，了解护理专业学生在临床实践中有效使用人工智能技术的准备情况非常重要。研究对象为 205 名就读于土耳其一所私立基础大学的护理专业本科生。数据收集过程从 2024 年 5 月 4 日开始，至 2024 年 6 月 4 日结束。本研究通过 "参与者介绍表"、"人工智能素养量表"（AILS）和 "对人工智能的总体态度量表"（GAAIS）收集数据。我们采用了学生 t 检验和方差分析。结果在参与研究的 205 名护理专业本科生中，87.8% 为女生。与女生相比，男生的 GAAIS 阳性得分明显更高。接受过人工智能教育的学生在人工智能认知、使用和评价以及 AILS 量表总分方面得分更高（p < 0.05）。GAAIS 正分与人工智能认知（p < 0.001）、人工智能使用（p < 0.001）、人工智能评价（p < 0.001）和 AILS 总分（p < 0.001）之间存在正相关。此外，随着 AILS 总分的增加，GAAIS 的负分也随之降低（p < 0.05）。结论这项研究表明，提高护理专业学生的人工智能素养可以培养他们对人工智能更积极的态度，而增强人工智能意识和使用人工智能可以减少消极态度。这些发现强调了将人工智能教育纳入护理课程的必要性，以便让学生为不断发展的医疗保健环境做好更好的准备。

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