ArticleWomen's health nursing (Seoul, Korea)2025
Development and effects of a scenario-based labor nursing simulation education program using an artificial intelligence tutor: a quasi-experimental study.
Article in Women's health nursing (Seoul, Korea), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- AI-Powered Simulation for Nursing Education: Mixed Methods Systematic Review.Journal of medical Internet research · 2026Pooled it
- Artificial Intelligence in Nursing Practice Education: A Systematic Review and Meta-Analysis.Journal of nursing management · 2026Pooled it
- Development and pilot evaluation of an AI-based pediatric medication safety virtual simulation program for nursing students: a quasi-experimental study in South Korea.Child health nursing research · 2026Article
- Educational Applications of AI-Based Chatbots in Nursing: A Scoping Review.Nursing reports (Pavia, Italy) · 2026Review
- Effects of Artificial Intelligence-Supported Education on Critical Thinking, Problem-Solving, Clinical Reasoning, and Decision-Making in Health Science Education: A Systematic Review of Interventional Studies.Advances in medical education and practice · 2026Review
- New developments in women's health research and implications for nursing.Women's health nursing (Seoul, Korea) · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study was conducted to determine the effects of a scenario-based labor nursing simulation education program using an artificial intelligence (AI) tutor on knowledge, critical thinking disposition, clinical performance abilities, and digital literacy.
methodsThis quasi-experimental study employed a non-equivalent control group pre- and post-test design. Seventy-two fourth-year nursing students (38 experimental, 34 control) were recruited from a university in Gumi, Korea. The experimental group participated in a scenario-based simulation education program supported by an AI tutor, while the control group engaged in conventional high-fidelity simulation training. Both groups attended sessions once per week for 2 hours over five sessions. Data were collected from August to December 2023 and analyzed using descriptive statistics, homogeneity testing, and the independent t-test.
resultsSimulation using an AI tutor resulted in significantly higher scores for the experimental group compared to the control group in nursing knowledge (t=7.03, p<.001), clinical performance (t=7.80, p=.020), and digital literacy (t=5.02, p<.001).
conclusionThe scenario-based labor nursing simulation program utilizing an AI tutor was effective in improving nursing students' delivery of knowledge, clinical performance, and digital literacy. Future research should focus on developing diverse and advanced simulation programs tailored to various areas of women's health nursing, to further enhance critical thinking and clinical judgment capabilities.
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