看護教育における人工知能: 図書測定分析
Xiaoyue Yu1,2, Weizhen Wu1, Jun Ni3
1Department of Obstetrics and Gynecology, Department of Nursing, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guangdong-HongKong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China, gzhmc.edu.cn.
Nursing research and practice
|February 13, 2026
まとめ
人工知能 (AI) は,看護教育の有望な機会を提供し,実務者の準備を強化します. 本文献測定分析は,看護教育研究におけるAIの主要な傾向と貢献者を特定しています.
科学分野:
- ビビロメトリクス (Bibliometrics) とは
- 教育における人工知能
- 介護教育に関する教育
背景:
- 人工知能 (AI) は,産業全体で急速に進歩しています.
- AIは,看護教育を改善し,将来の実務者を準備するための大きな可能性を秘めています.
- ヘルスケア・ランドスケープは,看護訓練の継続的な適応を必要とします.
研究 の 目的:
- 介護教育における人工知能に関する研究の文献分析を実施する.
- この分野における主要なトレンド,影響力のある情報源,新興トピックを特定する.
- AI強化看護教育における将来の研究開発のための洞察を提供する.
主な方法:
- VOSviewer,CiteCite,およびBibliometrix Rパッケージを使用した図書館測定分析.
- パターンやトレンドを特定するために,出版データの可視化.
- キーワード,情報源,貢献する機関を分析する.
主要な成果:
- 合計430の出版物を分析した.
- 米国と中国は主要な寄与国であり,シンガポールの国立大学が著名な機関である.
- 主要なジャーナルには,Nurse Education TodayとNurse Education in Practiceが掲載されています.
- トレンドの話題には,テクノロジー,教育プログラム,シミュレーションなどがあります.
結論:
- この研究は,看護教育におけるAIの統合に関する新しい視点を提供します.
- 発見は,将来の看護師の訓練におけるAIの役割に関心のある学者を導くことができます.
- 介護のカリキュラムにおけるテクノロジーとシミュレーションの重要性を強調する.
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