护生对人工智能的态度和接受程度对其临床能力的预测作用

IF 1.9 Q2 NURSING

Teaching and Learning in Nursing Pub Date : 2025-03-29 DOI:10.1016/j.teln.2025.02.036

Enes Şimşek RN, PhDc , Aslı Akdeniz Kudubeş RN, PhD , Remziye Semerci Şahin RN, PhD

{"title":"护生对人工智能的态度和接受程度对其临床能力的预测作用","authors":"Enes Şimşek RN, PhDc , Aslı Akdeniz Kudubeş RN, PhD , Remziye Semerci Şahin RN, PhD","doi":"10.1016/j.teln.2025.02.036","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>AI integration in education is gaining interest, including in nursing, as students seek formal training on its healthcare applications and limitations.</div></div><div><h3>Aim</h3><div>To evaluate the predictive effect of nursing students' attitudes and acceptance of artificial intelligence on their clinical competencies.</div></div><div><h3>Methods</h3><div>This descriptive-correlational study was conducted at 2 universities (February–June 2024) with 441 nursing students. Full-time students in clinical practice participated; those absent or on leave were excluded. The Nursing Students Competency Scale, General Attitudes to Artificial Intelligence Scale, and Generative Artificial Intelligence Acceptance Scale were used. Descriptive statistics and linear regression were used.</div></div><div><h3>Results</h3><div>The main factors affecting nursing students' clinical competence were “facilitating conditions,” “social influence,” and “negative attitudes” toward AI. A weak correlation was found between positive AI attitudes and acceptance, which explained 8.6% of the competency levels.</div></div><div><h3>Conclusion</h3><div>Positive perceptions of AI may increase competence, while skepticism may deepen engagement and critical learning. Strategies to improve the acceptance and use of AI are crucial to maximize its benefits in nursing education and practice.</div></div>","PeriodicalId":46287,"journal":{"name":"Teaching and Learning in Nursing","volume":"20 3","pages":"Pages e806-e814"},"PeriodicalIF":1.9000,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The predictive effect of nursing students' attitudes and acceptance towards artificial intelligence on their clinical competencies\",\"authors\":\"Enes Şimşek RN, PhDc , Aslı Akdeniz Kudubeş RN, PhD , Remziye Semerci Şahin RN, PhD\",\"doi\":\"10.1016/j.teln.2025.02.036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>AI integration in education is gaining interest, including in nursing, as students seek formal training on its healthcare applications and limitations.</div></div><div><h3>Aim</h3><div>To evaluate the predictive effect of nursing students' attitudes and acceptance of artificial intelligence on their clinical competencies.</div></div><div><h3>Methods</h3><div>This descriptive-correlational study was conducted at 2 universities (February–June 2024) with 441 nursing students. Full-time students in clinical practice participated; those absent or on leave were excluded. The Nursing Students Competency Scale, General Attitudes to Artificial Intelligence Scale, and Generative Artificial Intelligence Acceptance Scale were used. Descriptive statistics and linear regression were used.</div></div><div><h3>Results</h3><div>The main factors affecting nursing students' clinical competence were “facilitating conditions,” “social influence,” and “negative attitudes” toward AI. A weak correlation was found between positive AI attitudes and acceptance, which explained 8.6% of the competency levels.</div></div><div><h3>Conclusion</h3><div>Positive perceptions of AI may increase competence, while skepticism may deepen engagement and critical learning. Strategies to improve the acceptance and use of AI are crucial to maximize its benefits in nursing education and practice.</div></div>\",\"PeriodicalId\":46287,\"journal\":{\"name\":\"Teaching and Learning in Nursing\",\"volume\":\"20 3\",\"pages\":\"Pages e806-e814\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Teaching and Learning in Nursing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1557308725000824\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Teaching and Learning in Nursing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1557308725000824","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}

引用次数: 0

摘要

随着学生寻求有关其医疗保健应用和局限性的正式培训，人工智能在教育中的应用越来越受到关注，包括在护理领域。目的评价护生对人工智能的态度和接受程度对其临床能力的预测作用。方法采用描述性相关研究方法，于2024年2月至6月在2所大学对441名护理专业学生进行调查。参加临床实习的全日制学生；那些缺席或休假的人被排除在外。采用护生能力量表、人工智能总体态度量表和生成式人工智能接受量表。采用描述性统计和线性回归。结果影响护生临床能力的主要因素为“便利条件”、“社会影响”和“对人工智能的消极态度”。积极的人工智能态度和接受度之间存在弱相关性，这解释了8.6%的能力水平。结论：对人工智能的积极认知可能会提高能力，而怀疑可能会加深参与和批判性学习。提高人工智能的接受和使用策略对于最大限度地发挥其在护理教育和实践中的效益至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The predictive effect of nursing students' attitudes and acceptance towards artificial intelligence on their clinical competencies

Background

AI integration in education is gaining interest, including in nursing, as students seek formal training on its healthcare applications and limitations.

Aim

To evaluate the predictive effect of nursing students' attitudes and acceptance of artificial intelligence on their clinical competencies.

Methods

This descriptive-correlational study was conducted at 2 universities (February–June 2024) with 441 nursing students. Full-time students in clinical practice participated; those absent or on leave were excluded. The Nursing Students Competency Scale, General Attitudes to Artificial Intelligence Scale, and Generative Artificial Intelligence Acceptance Scale were used. Descriptive statistics and linear regression were used.

Results

The main factors affecting nursing students' clinical competence were “facilitating conditions,” “social influence,” and “negative attitudes” toward AI. A weak correlation was found between positive AI attitudes and acceptance, which explained 8.6% of the competency levels.

Conclusion

Positive perceptions of AI may increase competence, while skepticism may deepen engagement and critical learning. Strategies to improve the acceptance and use of AI are crucial to maximize its benefits in nursing education and practice.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

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