护理教育中的人工智能：趋势、挑战和未来方向的文献计量分析

IF 1.9 Q2 NURSING

Teaching and Learning in Nursing Pub Date : 2025-04-01 DOI:10.1016/j.teln.2024.11.018

Siddig Ibrahim Abdelwahab , Manal Mohamed Elhassan Taha , Abdullah Farasani , Ahmed Ali Jerah , Saleh M Abdullah , Ieman A. Aljahdali , Bassem Oraibi , Hassan Ahmad Alfaifi , Amal Hamdan Alzahrani , Omar Oraibi , Yasir Babiker , Waseem Hassan

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引用次数: 0

摘要

目的首次对人工智能（AI）、机器学习和ChatGPT在护理教育中的应用进行文献计量分析。方法采用Scopus数据库检索数据，并在Vosviewer和R Studio上进行分析，结果共分析了1991 - 2024年间64种不同期刊的101篇文献。文献年增长率为11.07%，平均文献年龄为2.28年。每篇论文的平均引用次数为8.90次，每篇论文的平均共同作者为4.53人。作者中，Ahn J发表论文3篇，新加坡国立大学发表论文最多，14篇，美国发表论文最多，43篇。共词分析将101篇论文的重点分为20个不同的组。本研究对护理教育中人工智能和机器学习的研究趋势进行了广泛的概述。

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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Artificial intelligence in nursing education: a bibliometric analysis of trends, challenges, and future directions

Objective

This study aims to perform, for the first time, a comprehensive bibliometric analysis of artificial intelligence (AI), machine learning, and ChatGPT in nursing education.

Methods

The Scopus database was employed to retrieve data and later analyzed on Vosviewer and R Studio,

Results

A total of 101 documents were analyzed, spanning from 1991 to 2024, sourced from 64 different journals. The annual growth rate of the documents was 11.07%, with an average document age of 2.28 years. The average number of citations per document was 8.90, and each document had an average of 4.53 co-authors. Among the authors, Ahn J contributed to 3 documents, the leading institution was the National University of Singapore with 14 publications, the United States had the highest number of publications with 43. Co-words analysis categorized the focus of 101 papers into 20 distinct groups.

Conclusion

The study provides an extensive overview of research trends in AI and machine learning within nursing education.

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来源期刊

Teaching and Learning in Nursing NURSING-

CiteScore

2.60

自引率

10.50%

发文量

119

审稿时长

37 days

期刊介绍： Teaching and Learning in Nursing is the Official Journal of the National Organization of Associate Degree Nursing. The journal is dedicated to the advancement of Associate Degree Nursing education and practice, and promotes collaboration in charting the future of health care education and delivery. Topics include: - Managing Different Learning Styles - New Faculty Mentoring - Legal Issues - Research - Legislative Issues - Instructional Design Strategies - Leadership, Management Roles - Unique Funding for Programs and Faculty