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Nursing Students' Perceptions and Use of Generative Artificial Intelligence in Nursing Education
ShinHi Han1, Hee Sun Kang2, Philip Gimber1
1Health Science/Nursing, LaGuardia Community College, The City University of New York, Long Island City, NY 11101, USA.
Nursing students utilize generative artificial intelligence (GenAI) for learning and clinical support, but express concerns about costs and accuracy. Educational institutions should provide guidance and support for responsible GenAI integration.
Area of Science:
- Nursing Education
- Artificial Intelligence in Healthcare
- Generative AI Applications
Background:
- Artificial intelligence (AI) is revolutionizing nursing education.
- Generative AI (GenAI) tools like ChatGPT offer potential for personalized learning pathways.
Purpose of the Study:
- To explore nursing students' usage of GenAI.
- To understand student perceptions of GenAI's advantages, disadvantages, and support needs in nursing education.
Main Methods:
- An online survey was conducted with 99 undergraduate nursing students in New York City.
- Data was collected via self-report measures with semi-structured, open-ended questions.
- Content analysis was used to analyze the collected data.
Main Results:
- 92% of students used GenAI for information access, concept clarification, and clinical task support.
- Students found GenAI valuable for simplifying complex information, providing definitions, practice questions, and writing assistance.
- Drawbacks included costs, over-reliance, information overload, accuracy issues, and trust concerns.
Conclusions:
- GenAI positively impacts nursing education, emphasizing the need for critical evaluation guidelines.
- Effective integration requires introductory sessions, support programs, and a conducive environment for responsible AI use.
- Educators should prepare students for GenAI's role in future nursing practice.
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