Gehring Denise R, Titus Sharon K, George Ragi
Health Sciences Librarian University Libraries, Azusa Pacific University Azusa California USA.
School of Nursing Azusa Pacific University Azusa California USA.
Health Sci Rep. 2025 Jan 29;8(2):e70411. doi: 10.1002/hsr2.70411. eCollection 2025 Feb.
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.
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.
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.
The final scoping review will present the search results, the study inclusion process, and the data analysis.
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.
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.
背景/目的：自2022年秋季生成式人工智能（GenAI）出现以来，其对高等教育的影响重大，但研究不足，导致护士教育工作者反应不一，从热情到怀疑都有。对七个数据库的初步搜索未发现专门针对护士教育工作者对使用GenAI的担忧的范围综述。因此，本研究旨在梳理关于护士教育工作者对在护理教育中使用GenAI的担忧的现有文献。
纳入任何语言为英语、来自任何国家的任何类型的文献来源（经过同行评审和未经同行评审的），且由学术护士教育工作者撰写，报告了护理教育中的“学术护士教育工作者”和“人工智能”（如GenAI、生成式人工智能、ChatGPT、大语言模型）。未报告“护士教育工作者担忧”或专注于临床实践的文章被排除。
本方案（见附录1中的PRISMA - P）确定了计划进行的范围综述的研究参数，该综述将于2024年4月至7月进行。我们将遵循乔安娜·布里格斯研究所的综合方法，以确保采用严谨的方法。最终综述将包括2022年秋季至2024年4月期间发表的来自八个学术数据库的相关文献。数据将使用PRISMA - ScR清单和流程图（2020）以及其他可视化图表进行报告，以增强我们研究结果的有效性。将采用归纳分析方法对不断演变的数据进行编码，识别反复出现的主题，并找出文献中的潜在差距。
最终的范围综述将呈现搜索结果、研究纳入过程和数据分析。
我们计划中的综述可能会为护士教育工作者对使用GenAI的担忧提供关键见解，找出文献中的差距，并为未来研究提供方向。
本方案于2024年5月8日在开放科学框架（OSF）上注册。注册号为OSF.IO/SZ8WR。此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。
