The Perceived Concerns of Nurse Educators' Use of GenAI in Nursing Education: Protocol for a Scoping Review

IF 2.1 Q2 MEDICINE, GENERAL & INTERNAL Health Science Reports Pub Date : 2025-01-29 DOI:10.1002/hsr2.70411
Denise R. Gehring, Sharon K. Titus, Ragi George
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Abstract

Background/Aims

Since the emergence of generative AI (GenAI) in fall 2022, its impact on higher education has been significant yet under-researched, leading to mixed reactions among nurse educators, ranging from enthusiasm to skepticism. A preliminary search of seven databases found no scoping reviews specifically that addressed nurse educators' concerns about using GenAI. Therefore, this study aims to map the existing literature on nurse educators' concerns regarding the use of GenAI in nurse education.

Inclusion Criteria

Included are any types of sources (peer-reviewed and nonpeer-reviewed) in English and from any country and were authored by an academic nurse educator that reported on “academic nurse educators,” and “artificial intelligence” (such as GenAI, Generative AI, ChatGPT, large language models) in nursing education. Articles that did not report “nurse educator concerns,” or were focused on clinical practice were excluded.

Methods

This protocol (see PRISMA-P in Appendix 1) establishes the study parameters for the planned scoping review, which will be conducted from April to July 2024. We will follow Joanna Briggs Institute, a comprehensive methodology, to ensure a rigorous approach. The final review will include relevant literature from eight academic databases published from Fall 2022 through April 2024. Data will be reported using the PRISMA-ScR checklist and flow diagram (2020) along with other visual diagrams to add validity to our findings. An inductive analysis approach will be used to code the evolving data, identify recurring themes, and pinpoint potential gaps in the literature.

Results

The final scoping review will present the search results, the study inclusion process, and the data analysis.

Conclusion

Our planned review will potentially provide crucial insights into nurse educators' concerns on using GenAI, pinpointing gaps within the literature, and providing direction for future research.

Review Registration

This protocol was registered on May 8, 2024, on Open Science Framework (OSF). The registry number is OSF.IO/SZ8WR. This registration ensures the transparency and credibility of our research process, as it provides a public record of our study design and methods.

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护理教育者在护理教育中使用GenAI的感知问题:范围审查方案。
背景/目的:自2022年秋季生成式人工智能(GenAI)出现以来,它对高等教育的影响一直很显著,但研究不足,导致护士教育者的反应不一,从热情到怀疑。对7个数据库的初步搜索发现,没有专门针对护士教育者使用GenAI的担忧的范围评估。因此,本研究的目的是绘制现有文献关于护士教育者对GenAI在护士教育中使用的关注。纳入标准:包括来自任何国家的任何类型的英文来源(同行评议和非同行评议),并由学术护士教育者撰写,报告“学术护士教育者”和“人工智能”(如GenAI,生成人工智能,ChatGPT,大型语言模型)在护理教育中。没有报道“护士教育关注”或关注临床实践的文章被排除在外。方法:本方案(见附录1中的PRISMA-P)为计划的范围审查建立了研究参数,该审查将于2024年4月至7月进行。我们将遵循乔安娜布里格斯研究所,一个全面的方法,以确保一个严格的方法。最终评审将包括从2022年秋季到2024年4月发表的八个学术数据库中的相关文献。数据将使用PRISMA-ScR检查表和流程图(2020年)以及其他可视化图表进行报告,以增加我们发现的有效性。归纳分析方法将用于对不断发展的数据进行编码,确定反复出现的主题,并查明文献中潜在的差距。结果:最终的范围审查将展示检索结果、研究纳入过程和数据分析。结论:我们计划的综述将潜在地为护理教育者对使用GenAI的关注提供重要的见解,指出文献中的空白,并为未来的研究提供方向。审查注册:本协议于2024年5月8日在开放科学框架(OSF)上注册。注册表号为OSF.IO/SZ8WR。这一注册确保了我们研究过程的透明度和可信度,因为它提供了我们研究设计和方法的公开记录。
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
Health Science Reports
Health Science Reports Medicine-Medicine (all)
CiteScore
1.80
自引率
0.00%
发文量
458
审稿时长
20 weeks
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