Integrating ChatGPT Into Nursing Clinical Education: Students' Patterns of Use, Perceptions, and Implications for Institutional Support.
Background: ChatGPT and other generative AI tools are increasingly used in healthcare education, yet evidence on nursing students' adoption during their clinical training remains limited. This study examined undergraduate nursing students' patterns of ChatGPT use, perceived usefulness, ease of use,...
| Publicado en: | Nursing Forum Vol. 2026; pp. 1 - 12 |
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| Autores principales: | , , , , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
5/26/2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194047703&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194047703 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00296473 22T jtl: Nursing Forum issn: 00296473 maglogo: Y pubinfo: dt: 5/26/2026 vid: 2026 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 194047703 194047703 194047703 10.1155/nuf/8830036 194047703 ppf: 1 ppct: 11 formats: tig: atl: Integrating ChatGPT Into Nursing Clinical Education: Students' Patterns of Use, Perceptions, and Implications for Institutional Support. aug: au: Khalil, Heba Almehrzi, Reem Rezaei, Ayda Adil, Esra Alashraf, Amal Babiker, Hiba Kouki, Samia Seshan, Vidya Dias, Jacqueline Maria Ahmed, Fatma Refaat Al-Yateem, Nabeel Yousef, Khalil Kaushik, Shashank affil: College of Health Sciences,, University of Sharjah,, Sharjah, UAE, sharjah.ac.ae sug: subj: Students, Nursing, Baccalaureate Psychosocial Factors Education, Nursing, Baccalaureate Chatbot Utilization Faculty Role Faculty, Nursing Support, Psychosocial Learning Methods Student Attitudes Human Male Female Young Adult Colleges and Universities United Arab Emirates Cross Sectional Studies Descriptive Research Convenience Sample Questionnaires Self Administration Structured Questionnaires Power Analysis Descriptive Statistics Comparative Studies Data Analysis Software Pearson's Correlation Coefficient Regression Communication Curriculum Health Care Delivery Male Female ab: Background: ChatGPT and other generative AI tools are increasingly used in healthcare education, yet evidence on nursing students' adoption during their clinical training remains limited. This study examined undergraduate nursing students' patterns of ChatGPT use, perceived usefulness, ease of use, risks, and the role of faculty and institutional support in clinical learning. Methods: A cross‐sectional survey was conducted with 218 nursing students at a UAE university. The questionnaire assessed ChatGPT use across clinical tasks, perceptions, ethical concerns, faculty encouragement, institutional guidance, and barriers. Hierarchical regression analysis identified predictors of ChatGPT usage behavior. Results: ChatGPT use was widespread: 76% of students used it mainly for understanding clinical cases (81%), clinical assignments and documentation (77%), and exam preparation (73%). Ethical concerns were reported by 61% of students, including misinformation (60%) and over‐reliance (55%). Faculty encouragement was reported by 60%, while 52% noted institutional guidelines. Regression analysis showed that perceived usefulness (β = 0.55, p < 0.001), ease of use (β = 0.30, p < 0.001), and faculty encouragement (β = 0.11, p = 0.029) significantly predicted usage, explaining 66.4% of the variance. Institutional guidelines and demographics were not significant predictors. Most students (83%) expressed interest in ChatGPT training, and 86% supported AI integration into the curriculum. Conclusion: Nursing students actively use and value ChatGPT in clinical learning. Adoption is strongly influenced by perceived usefulness, ease of use, and faculty support. Ethical concerns and limited institutional guidance highlight the need for structured support, faculty development, and clear policies to ensure responsible and effective AI integration in clinical nursing education. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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