ArticleNursing reports (Pavia, Italy)2024
Enhancing Nursing Students' Attitudes Toward Older Adults Through an Artificial Intelligence Virtual Simulation: A Mixed-Method Design.
Article in Nursing reports (Pavia, Italy), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled 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
- Attitudes of undergraduate nursing students toward caring for older adults: a cross-sectional study from Limpopo Province, South Africa.BMC geriatrics · 2026Article
- Artificial Intelligence in Nursing Education: A Bibliometric Analysis.Nursing research and practice · 2026Article
- Effect of experiential learning based AI‑generated aging video simulation on knowledge, attitude and gerontophobia in nursing students.BMC nursing · 2025Article
- Effectiveness of an educational intervention in modifying ageism among nurses in caring for older adults: a randomized controlled trial.BMC nursing · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
objectivesThe projected increase from 58 million older adults in 2022 to 82 million by 2050 in the United States highlights the urgency of preparing nursing students to care for this aging population. However, studies reveal negative attitudes among nursing students toward older adults. A three-phased educational intervention that included an artificial intelligence (AI)-driven virtual simulation was implemented to address this. AI-generated simulations promise to expose marginalized groups and strengthen future nurses' knowledge, skills, and attitudes.
methodsA convergent mixed-method design was used to measure the change in nursing students' attitudes toward older adults, as measured by the UCLA Geriatrics Attitudes Survey and a Guided Reflection survey after participating in an Artificial Intelligence in Education learning event (
resultsThe results indicate that post-intervention scores (M = 35.07, SD = 5.34) increased from pre-intervention scores (M = 34.50, SD = 4.86). This difference was statistically significant at the 0.10 significance level (t = 1.88,
conclusionsUtilizing artificial intelligence technology during educational events effectively yields measurable learning outcomes. Cultivating positive attitudes toward older adults is essential for competent care in an aging society. This study was prospectively approved by the university's Institutional Review Board (IRB) on 30 July 2021, IRB-FY22-3.
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