ArticleBMC medical education2025
Using Generative AI in nursing education: Students' perceptions.
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 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- The AI Adaptation Paradox: Navigating Professional Relevance and Sustainable Integration in Nursing.Nursing inquiry · 2026Article
- AI Use, Perceptions, and Perceived Impact Among Nursing Students: Cross-Sectional Study.JMIR nursing · 2026Article
- The effect of artificial intelligence-supported applications on critical thinking motivation and clinical decision making in nursing students: path analysis.BMC medical education · 2026Article
- Educational Applications of AI-Based Chatbots in Nursing: A Scoping Review.Nursing reports (Pavia, Italy) · 2026Review
- Digital personas of AI use in nursing education: a latent class analysis of learning behaviors and academic engagement.Frontiers in medicine · 2026Article
- Undergraduate nursing students' attitudes and needs regarding the use of generative artificial intelligence in professional learning: a qualitative study.Frontiers in public health · 2026Article
- Artificial Intelligence Attitudes and Time Management Among Undergraduate Nursing Students: A Cross-Sectional Study.Journal of nursing management · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Generative Artificial Intelligence (Gen AI) has brought about a significant transformation in various societal domains, including higher education. It offers a plethora of advantages aimed at enhancing learning outcomes in higher education. This research aimed to examine the factors affecting student performance in nursing when Gen AI is employed in undergraduate nursing programs at Palestinian higher education institutions. A survey was developed based on prior studies, and data were gathered from 517 undergraduate nursing students across various Palestinian higher education institutions. The data were analyzed using Smart PLS. The results indicated that trust in AI positively influences the perceived usefulness of Gen AI and enhances student performance in nursing education. However, the study also noted that AI competencies have a negative impact on student performance. This study's contribution lies in highlighting the critical role of trust in Gen AI in enhancing perceived usefulness and learning outcomes in nursing education. One limitation of this study is its reliance on self-reported instruments, suggesting that future research should consider adopting a mixed-methods and experimental research approach.
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Registered trials
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.