ArticleBMC nursing2025
Integration of artificial intelligence in nursing education: a cross-national exploration.
Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Nurse educators' experiences and perceptions using generative artificial intelligence: a systematic review.BMC medical education · 2026Pooled it
- Digital personas of AI use in nursing education: a latent class analysis of learning behaviors and academic engagement.Frontiers in medicine · 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
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUnderstanding nurse educators' perceptions of Artificial Intelligence (AI) in education, particularly cross-nationally and considering cultural and exposure influences, remains limited. This study addressed this gap by determining the impact of AI integration in nursing education.
methodsParticipants included 1021 nurse educators from the Philippines, Saudi Arabia, India, and Egypt, with data collected between January and March 2025.
resultsPerceived benefits of AI showed consistent means across countries, though significant differences (p < 0.001) were observed in perceived threats, exposure, and the influence of culture by country. Strong positive correlations emerged between exposure to AI and both trust in AI (r = 0.653) and perceived benefits (r = 0.625). Nationality significantly predicted perceived risks, exposure, and cultural impact (all p < 0.001), emphasizing the relevance of cultural background to AI applicability.
conclusionNurse educators acknowledge AI's educational potential but show diverse perceptions regarding risks, exposure, and cultural impact. Increased AI exposure fosters trust and perceived benefits, highlighting the need for contextualized, culturally-attuned, and exposure-driven AI integration in nursing education.
Indexed as
Identifiers
What OpenQuestion holds
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.