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本文引用的文献

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2
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3
Initial validation of the general attitudes towards Artificial Intelligence Scale.人工智能态度量表总体态度的初步验证。
Comput Hum Behav Rep. 2020 Jan-Jul;1:100014. doi: 10.1016/j.chbr.2020.100014. Epub 2020 May 18.
4
Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative.人工智能在护理中的应用:护理与人工智能领导力协作国际特邀智囊团的优先事项和机遇。
J Adv Nurs. 2021 Sep;77(9):3707-3717. doi: 10.1111/jan.14855. Epub 2021 May 18.
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Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey.英国医学生对人工智能与放射学的态度和认知:一项多中心调查
Insights Imaging. 2020 Feb 5;11(1):14. doi: 10.1186/s13244-019-0830-7.
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Artificial intelligence: Essentials for nursing.人工智能:护理要点
Nursing. 2019 Sep;49(9):46-49. doi: 10.1097/01.NURSE.0000577716.57052.8d.
7
Machine Learning in Medicine.医学中的机器学习
N Engl J Med. 2019 Apr 4;380(14):1347-1358. doi: 10.1056/NEJMra1814259.
8
High-performance medicine: the convergence of human and artificial intelligence.高性能医学:人机智能融合。
Nat Med. 2019 Jan;25(1):44-56. doi: 10.1038/s41591-018-0300-7. Epub 2019 Jan 7.
9
Nursing Education: Our Iceberg Is Melting.护理教育:我们的冰山正在融化。
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10
Medical students' attitude towards artificial intelligence: a multicentre survey.医学生对人工智能的态度:一项多中心调查。
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人工智能伦理意识、态度、焦虑及自我效能感对护理专业学生行为意向的影响。

Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students' behavioral intentions.

作者信息

Kwak Yeunhee, Ahn Jung-Won, Seo Yon Hee

机构信息

Red Cross College of Nursing, Chung-Ang University, 84, Heukseok-ro, Dongjak-gu, 06974, Seoul, Korea.

Department of Nursing, Gangneung-Wonju National University, 150, Namwon-ro, Heungeop-myeon, 26403, Wonju-si, Gangwon-do, Korea.

出版信息

BMC Nurs. 2022 Sep 30;21(1):267. doi: 10.1186/s12912-022-01048-0.

DOI:10.1186/s12912-022-01048-0
PMID:36180902
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9526272/
Abstract

BACKGROUND

Artificial intelligence (AI) technology has recently seen rapid advancement, with an expanding role and scope in nursing education and healthcare. This study identifies the influence of AI ethics awareness, attitude toward AI, anxiety, and self-efficacy on nursing students' behavioral intentions to use AI-based healthcare technology.

METHODS

The participants included 189 nursing students in Gyeonggi-do, with data collected from November to December 2021 using self-reported questionnaires. We analyzed the data using the SPSS/WIN 26.0 program, including a t-test, Pearson's correlation coefficient, and hierarchical multiple linear regression.

RESULTS

The results revealed that AI ethical awareness (t = - 4.32, p < .001), positive attitude toward AI (t = - 2.60, p = .010), and self-efficacy (t = - 2.65, p = .009) scores of the third and fourth-year nursing students were higher, while their anxiety scores were lower (t = 2.30, p = .022) compared to the scores of the first and second-year nursing students. The factors influencing behavioral intention included a positive attitude toward AI (β = 0.58) and self-efficacy (β = 0.22). The adjusted R was 0.42.

CONCLUSION

It is necessary to inculcate a positive attitude toward AI and self-efficacy by providing educational programs on AI-based technology in healthcare settings.

摘要

背景

人工智能(AI)技术近年来发展迅速,在护理教育和医疗保健中的作用和范围不断扩大。本研究确定了人工智能伦理意识、对人工智能的态度、焦虑和自我效能感对护理专业学生使用基于人工智能的医疗技术的行为意向的影响。

方法

研究对象为京畿道的189名护理专业学生,于2021年11月至12月使用自填式问卷收集数据。我们使用SPSS/WIN 26.0程序对数据进行分析,包括t检验、Pearson相关系数和分层多元线性回归。

结果

结果显示,与一、二年级护理专业学生相比,三、四年级护理专业学生的人工智能伦理意识得分(t=-4.32,p<.001)、对人工智能的积极态度得分(t=-2.60,p=.010)和自我效能感得分(t=-2.65,p=.009)更高,而焦虑得分更低(t=2.30,p=.022)。影响行为意向的因素包括对人工智能的积极态度(β=0.58)和自我效能感(β=0.22)。调整后的R为0.42。

结论

有必要通过在医疗保健环境中提供基于人工智能技术的教育项目,培养对人工智能的积极态度和自我效能感。