Aug 2026· Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi· 0 citations· 45 references
TL;DR
A meta-analysis examined the effectiveness of artificial intelligence (AI)-based educational interventions on learning outcomes in nursing students and found that AI-based interventions significantly improved knowledge acquisition.
Abstract
Aim: This meta-analysis examined the effectiveness of artificial intelligence (AI)-based educational interventions on learning outcomes in nursing students.Material and Method: A systematic search of PubMed, Scopus, CINAHL, and Web of Science identified studies published between January 2021 and May 2025. Following PRISMA guidelines, 11 studies with 1,539 students were included, comprising randomized controlled trials and quasi-experimental designs. Outcomes assessed were knowledge, clinical reasoning, satisfaction, clinical performance, attitude, and self-efficacy. Risk of bias was evaluated with the RoB 2 tool, and random-effects models were used for meta-analysis.Results: AI-based interventions significantly improved knowledge acquisition (MD = 4.47, 95% CI [2.60, 6.34], p
The findings showed that AI can enhance clinical teaching, improve nursing students' self-efficacy, and support teaching and learning and that the use of AI in nursing education is instrumental in improving the acquisition of clinical skills and teaching and learning.
S. Khunou, Carine Prinsloo· Indonesian Contemporary Nurs...· 0 citations
Nursing students’ experiences with generative AI are shaped by both the opportunities and challenges associated with its use in learning, highlighting the need for nursing educators to strengthen students’ AI literacy, critical thinking, and ethical awareness.
Shanshan Du, Sha Wang, Feng-ming Yan et al.· Frontiers in Medicine· 0 citations
It is recommended that refresher courses or practice opportunities should be scheduled throughout students' medical education to ensure retention of BNC skills, and interventions should include an SBT element as this leads to greater improvements in BNC ability.
Alanna McMullin, C. O’Tuathaigh, E. Montagna· Patient Education and Counse...· 0 citations
Nursing academics appear to adopt AI selectively, prioritising preservation of core professional values while embracing applications perceived to enhance, rather than replace, educational practice, providing evidence for nursing education programs globally regarding faculty development, institutional policy frameworks,...
Natasha Hawkins, Anthea Fagan, Yumiko Coffey et al.· Journal of Advanced Nursing· 0 citations
The results confirmed that scenario-based simulation training for nursing students produces short-term effects in the cognitive domain and sustained effects in the affective domain.
Hyun Ji Kim, Eun Kyung Lee, Eun-Ju Mun· Nurse Education in Practice· 0 citations
This analysis provides a theoretical foundation for generative AI-based learning support in nursing education and distinguishes this concept from conventional technological assistance by emphasizing cognitive facilitation and reflective learning.
Hyo Hoon Ku· The Journal of Korean Academ...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
