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在护理教育中使用生成式人工智能:学生的看法。

Using Generative AI in nursing education: Students' perceptions.

作者信息

Khlaif Zuheir N, Salameh Nisreen, Ajouz Mousa, Mousa Allam, Itmazi Jamil, Alwawi Abdallah, Alkaissi Aidah

机构信息

Faculty of Humanities and Educational Sciences, An Najah National University, Nablus, Occupied Palestinian Territory, Palestine.

College of Nursing, Arab American University, Jenin, Palestine.

出版信息

BMC Med Educ. 2025 Jul 1;25(1):926. doi: 10.1186/s12909-025-07416-z.

DOI:10.1186/s12909-025-07416-z
PMID:40598139
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12210963/
Abstract

Generative Artificial Intelligence (Gen AI) has brought about a significant transformation in various societal domains, including higher education. It offers a plethora of advantages aimed at enhancing learning outcomes in higher education. This research aimed to examine the factors affecting student performance in nursing when Gen AI is employed in undergraduate nursing programs at Palestinian higher education institutions. A survey was developed based on prior studies, and data were gathered from 517 undergraduate nursing students across various Palestinian higher education institutions. The data were analyzed using Smart PLS. The results indicated that trust in AI positively influences the perceived usefulness of Gen AI and enhances student performance in nursing education. However, the study also noted that AI competencies have a negative impact on student performance. This study's contribution lies in highlighting the critical role of trust in Gen AI in enhancing perceived usefulness and learning outcomes in nursing education. One limitation of this study is its reliance on self-reported instruments, suggesting that future research should consider adopting a mixed-methods and experimental research approach.

摘要

生成式人工智能(Gen AI)在包括高等教育在内的各个社会领域带来了重大变革。它提供了大量旨在提高高等教育学习成果的优势。本研究旨在探讨巴勒斯坦高等教育机构在本科护理课程中使用Gen AI时影响护理专业学生表现的因素。基于先前的研究开发了一项调查,并从巴勒斯坦各高等教育机构的517名本科护理学生中收集了数据。使用Smart PLS对数据进行了分析。结果表明,对人工智能的信任对Gen AI的感知有用性有积极影响,并提高了护理教育中的学生表现。然而,该研究还指出,人工智能能力对学生表现有负面影响。本研究的贡献在于强调了对Gen AI的信任在提高护理教育中的感知有用性和学习成果方面的关键作用。本研究的一个局限性在于其对自我报告工具的依赖,这表明未来的研究应考虑采用混合方法和实验研究方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d5c/12210963/6ea961015228/12909_2025_7416_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d5c/12210963/386723e3bab3/12909_2025_7416_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d5c/12210963/3f08eba69ac3/12909_2025_7416_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d5c/12210963/6ea961015228/12909_2025_7416_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d5c/12210963/386723e3bab3/12909_2025_7416_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d5c/12210963/3f08eba69ac3/12909_2025_7416_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d5c/12210963/6ea961015228/12909_2025_7416_Fig3_HTML.jpg

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本文引用的文献

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Nurse Educ Pract. 2025 Jan;82:104208. doi: 10.1016/j.nepr.2024.104208. Epub 2024 Dec 1.
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The application of Chat Generative Pre-trained Transformer in nursing education.Chat生成式预训练变换器在护理教育中的应用。
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The Potential and Concerns of Using AI in Scientific Research: ChatGPT Performance Evaluation.
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The State of Artificial Intelligence in Nursing Education: Past, Present, and Future Directions.人工智能在护理教育中的应用:过去、现在和未来方向。
Int J Environ Res Public Health. 2023 Mar 10;20(6):4884. doi: 10.3390/ijerph20064884.
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Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models.ChatGPT在美国医师执照考试中的表现:使用大语言模型进行人工智能辅助医学教育的潜力。
PLOS Digit Health. 2023 Feb 9;2(2):e0000198. doi: 10.1371/journal.pdig.0000198. eCollection 2023 Feb.
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Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011-2022).可解释人工智能在医疗保健中的应用:过去十年(2011-2022 年)的系统回顾。
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How transparency modulates trust in artificial intelligence.透明度如何调节对人工智能的信任。
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