Bibliometric and content analysis of ChatGPT research in nursing education: The rabbit hole in nursing education
 
Yazarlar (2)
Dr. Öğr. Üyesi Turgay YALÇINKAYA Sinop Üniversitesi, Türkiye
Prof. Dr. Şebnem Çınar Yücel Ege Üniversitesi, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Nurse Education in Practice (Q1)
Dergi ISSN 1471-5953 Dergi Bilgileri (2024)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 05-2024
Kabul Tarihi Yayınlanma Tarihi 01-05-2024
Cilt / Sayı / Sayfa 77 / 1 / 103956–0 DOI 10.1016/j.nepr.2024.103956
Makale Linki https://doi.org/10.1016/j.nepr.2024.103956
UAK Araştırma Alanları
Hemşirelik Esasları
Özet
AimThis study was conducted to perform the bibliometric and content analysis of ChatGPT studies in nursing education.BackgroundChatGPT is an artificial intelligence-based chatbot developed by OpenAI. The benefits and limitations of the use of ChatGPT in nursing education are still discussed; however, it is a tool having potential to be used in nursing education.DesignBibliometric and content analysis.MethodsThe study data were scanned through Scopus and Web of Science. Bibliometric analysis was carried out with VOSViewer and Bibliometrix software. In the bibliometric analysis, science mapping and performance analysis techniques were used. Various bibliometric data, including most cited publications, journals and countries, were analyzed and visualized. The synthetic knowledge synthesis method was used in content analysis.ResultsWe analyzed 53 publications to which 151 authors contributed. The …
Anahtar Kelimeler
Artificial intelligence | Bibliometrics analysis | ChatGPT | Nursing education | Nursing students | OpenAI
Science Direct
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 33
Scopus 36
Google Scholar 45
Bibliometric and content analysis of ChatGPT research in nursing education: The rabbit hole in nursing education

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