护士教育工作者对基因教育的关注:技术因素的范围审查。

IF 1.9
Ragi George, Sharon K Titus, Denise R Gehring
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引用次数: 0

摘要

背景:生成式人工智能(GenAI)自2022年问世以来,对高等教育产生了巨大影响。学术护理教育工作者正在被要求实施GenAI;然而,一些人对此表示担忧。这篇文章试图识别和描述现有的证据,关于护士教育者对在护士教育中使用GenAI的关注。方法:本综述采用Joanna Briggs研究所方法学进行,并使用PRISMA-ScR指南进行报告;共审查了来自8个数据库的736篇文章。30篇文章符合纳入标准。使用作者创建的数据提取工具提取数据,并进行专题分析。结果:包括25个来源,主题是技术因素和数据不准确、数据偏见、访问不平等、隐私和机密泄露、缺乏政策和指导方针以及教师工作量等子主题。结论:随着护理教育越来越以技术为导向,教育工作者需要接受有关其在护理项目中的应用的专业发展培训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nurse Educators' Concerns of GenAI in Education: Scoping Review of Technical Factors.

Background: Generative artificial intelligence (GenAI) has greatly affected higher education since its release in 2022. Academic nurse educators are being called to implement GenAI; however, some have concerns. This article sought to identify and describe the existing evidence on nurse educators' perceived concerns regarding the use of GenAI in nurse education.

Method: This scoping review was conducted using the Joanna Briggs Institute Methodology and reported using PRISMA-ScR guidelines; a total of736 articles from eight databases were reviewed. Thirty articles met the inclusion criteria. Data were extracted using an author-created Data Extraction Instrument, and thematic analysis was performed.

Results: Included are 25 sources on the theme of technical factors and subthemes of data inaccuracy, data bias, access inequity, privacy and confidentiality breach, lack of policies and guidelines, and faculty workload.

Conclusion: As nursing education continues to become more technology-driven, educators need to receive professional development training on its use in nursing programs.

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