ArticleBMC nursing2025
Exploring faculty perceptions and concerns regarding artificial intelligence Chatbots in nursing education: potential benefits and limitations.
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 14 papers, 4 of them syntheses that pooled it.
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.
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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
14 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Nurse educators' experiences and perceptions using generative artificial intelligence: a systematic review.BMC medical education · 2026Pooled it
- Nurses' Knowledge and Attitudes Toward Pressure Injury Prevention: A Systematic Review.International wound journal · 2026Pooled it
- Systematic review of mapping-based teaching strategies in pediatric nursing education: effects on learning outcomes among nurses and nursing students.BMC medical education · 2026Pooled it
- AI literacy and competency in nursing education: preparing students and faculty members for an AI-enabled future-a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Article
- Understanding Public Awareness, Attitudes, Beliefs, and Perceptions About ChatGPT in Saudi Arabia: A Road Map for Digital Health.Medical science monitor : international medical journal of experimental and clinical research · 2026Article
- Generative AI Ethics Toolkit for Clinical Prioritization in Nursing Education.Nursing ethics · 2026Article
- Faculty Perspectives on AI Integration in Anatomy Education in the United Arab Emirates: Cross-Sectional Survey.JMIR medical education · 2026Article
- Artificial Intelligence in Health Professions Education: Qualitative Study of Student Experiences.Journal of medical Internet research · 2026Article
- Educational Applications of AI-Based Chatbots in Nursing: A Scoping Review.Nursing reports (Pavia, Italy) · 2026Review
- Nursing Students' Experiences With Artificial Intelligence: A Qualitative Study on Education, Clinical Practice, and Future Expectations.Journal of evaluation in clinical practice · 2026Article
- A study of the profiles of perceived inadequate qualifications and associated factors among nursing interns: a latent profile analysis.Frontiers in psychology · 2026Article
- Integration of artificial intelligence in nursing education: a cross-national exploration.BMC nursing · 2025Article
- Exploring perceptions of data risks in AI-enabled nursing research: A qualitative study.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo examine faculty perceptions of artificial intelligence (AI) chatbots in nursing education, focusing on their usage patterns, perceived benefits, and limitations.
designA cross-sectional study.
methodsThe study surveyed nursing faculty from Jordan and the United States using a self-reported questionnaire. Data were analyzed using descriptive statistics and Multivariate Analysis of Covariance to assess variations in perceptions based on AI chatbot usage frequency and faculty characteristics.
resultsAmong 474 faculty members, 82.5% were familiar with at least one AI chatbot. Faculty generally acknowledged the benefits of AI chatbots, including enhanced teaching experiences, improved student engagement, support for independent learning, and quick access to medical knowledge. However, concerns about misinformation, reduced faculty-student interaction, and inadequacies in addressing complex clinical scenarios were prevalent. Legal and ethical issues, particularly the risk of misuse of AI-generated information, were also highlighted. Frequent AI chatbot users demonstrated significantly greater awareness of both the advantages and limitations of AI chatbots compared to infrequent users.
conclusionFrequent users demonstrated greater awareness of both the advantages and challenges of AI chatbots, highlighting the role of hands-on experience in shaping adoption. However, faculty adoption is primarily driven by perceived benefits rather than limitations, emphasizing the need to showcase practical advantages while addressing concerns. IMPLICATIONS: To enhance faculty adoption of AI chatbots in nursing education, institutions should focus on demonstrating their practical benefits while addressing concerns through targeted training and ethical guidelines. Providing hands-on experience and structured exposure can increase faculty confidence, reinforcing both the usefulness of AI chatbots and strategies to mitigate their limitations. Future research may examine the effectiveness of hands-on training programs in shaping faculty perceptions and adoption behaviors, providing valuable insights for enhancing AI integration in nursing education.
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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.