ArticleBMC medical education2025
Postgraduate nursing students' knowledge, attitudes, and practices regarding artificial intelligence: a qualitative study.
Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- The Associations of AI Literacy, AI Self-Efficacy and AI Attitudes Among Nursing Students: A Cross-Sectional Path Analysis.Nursing reports (Pavia, Italy) · 2026Article
- Barriers and Facilitators to AI Implementation in Intensive Care Units in China: Qualitative Study Among Nurse Managers.Journal of medical Internet research · 2026Article
- Knowledge and attitudes regarding AI-assisted documentation among clinical nurses in China: a cross-sectional study.BMC nursing · 2026Article
- Insights Into Factors Affecting Nurses' Knowledge of and Attitudes Toward AI and Implications for Successful AI Integration in Critical Care: Cross-Sectional Study.JMIR nursing · 2026Article
- AI literacy and AI anxiety in nursing students: the serial mediating roles of attitudes and self-efficacy.Frontiers in public health · 2026Article
- Postgraduate students' perceptions of artificial intelligence integration in research: A cross-sectional study.PloS one · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundThe combination of healthcare and artificial intelligence (AI) has profoundly changed the course of certain areas of nursing. Postgraduate nursing students, as key contributors to the discipline's development, warrant investigation regarding their perceptions of AI. Most qualitative studies on AI perceptions in nursing have focused on undergraduate students and clinical nurses, leaving a research gap regarding postgraduate nursing students. The aim of this study was to explore the knowledge, attitudes, and practices of AI among postgraduate nursing students in the field of nursing.
methodsA descriptive-qualitative research approach was adopted to conduct semistructured interviews with seventeen nursing graduate students. The audio recordings of the interviews were transcribed verbatim, and the resulting interview data were analysed through thematic analysis.
resultsThree themes were generated: cognitive perceptions of AI, attitudes toward AI, and practical dilemmas in the use of AI.
conclusionNursing postgraduates acknowledge the advantages of AI in relation to its functional roles, emotional interactions, enhanced productivity, and expanded research avenues. However, they also raised concerns regarding the inherent challenges of AI, external factors, and ethical-legal considerations. In the future, the provision of training in AI-related content within nursing education should be enhanced, adequate financial and technical support should be provided, and measures to improve privacy protection and legal systems should be implemented.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.