Nursing Students' Perceptions and Use of Generative Artificial Intelligence in Nursing Education.
Background/Objectives: Artificial intelligence (AI) is transforming nursing, with generative AI (GenAI) tools such as ChatGPT offering opportunities to enhance education through personalized learning pathways. This study aimed to explore nursing students' use of generative artificial intelligence (G...
| Publicado en: | Nursing Reports Vol. 15; no. 2; pp. 68 - 78 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
MDPI
Feb2025
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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=183341904&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 183341904 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2039439X EGNT jtl: Nursing Reports issn: 2039439X maglogo: N pubinfo: dt: Feb2025 vid: 15 iid: 2 pid: 97109 pub: MDPI artinfo: ui: 183341904 183341904 183341904 10.3390/nursrep15020068 183341904 ppf: 68 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Nursing Students' Perceptions and Use of Generative Artificial Intelligence in Nursing Education. aug: au: Han, ShinHi Kang, Hee Sun Gimber, Philip Lim, Sunghyun affil: Health Science/Nursing, LaGuardia Community College, The City University of New York, Long Island City, NY 11101, USA sug: subj: Students, Nursing, Baccalaureate Artificial Intelligence, Generative Utilization Education, Nursing, Baccalaureate Student Attitudes Evaluation Learning Methods Human New York Self Report Semi-Structured Interview Open-Ended Questionnaires Content Analysis Descriptive Statistics Grammar Health Promotion Data Analysis Software Adult Middle Age Adult: 19-44 years Middle Aged: 45-64 years ab: Background/Objectives: Artificial intelligence (AI) is transforming nursing, with generative AI (GenAI) tools such as ChatGPT offering opportunities to enhance education through personalized learning pathways. This study aimed to explore nursing students' use of generative artificial intelligence (GenAI) and their perceptions of its use in nursing education, including its advantages, disadvantages, and perceived support needs. Methods: This study employed an online survey. The participants were 99 undergraduate nursing students in New York City. Data was collected online through self-report measures using semi-structured, open-ended questions. The data was analyzed using content analysis. Results: Most participants (92%) used GenAI tools to access accurate information, clarify nursing concepts, and support clinical tasks such as diagnoses and health assessments, as well as schoolwork, grammar checks, and health promotion. They valued GenAI as a quick, accessible resource that simplified complex information and supported learning through definitions, practice questions, and writing improvements. However, the participants noted drawbacks, such as subscription costs, over-reliance, information overload, and accuracy issues, leading to trust concerns. The participants suggested financial support, early guidance, and instructional modules to better integrate AI into nursing education. Conclusions: The results indicate that GenAI positively impacts nursing education and highlight the need for guidelines on critical evaluation. To integrate GenAI effectively, educators should consider introductory sessions, support programs, and a GenAI-friendly environment, promoting responsible AI use and preparing students for its application in nursing education. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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