{"title":"Enhancing Nursing Students' Attitudes Toward Older Adults Through an Artificial Intelligence Virtual Simulation: A Mixed-Method Design.","authors":"Anne White, Mary Beth Maguire, Austin Brown","doi":"10.3390/nursrep14040279","DOIUrl":null,"url":null,"abstract":"<p><strong>Background/objectives: </strong>The 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.</p><p><strong>Methods: </strong>A 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 (<i>n</i> = 151).</p><p><strong>Results: </strong>The 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, <i>p</i> = 0.06). The qualitative analysis indicated that the attitudes impacted were challenging and overcoming ageism, increased empathy and patience, and enhanced communication skills.</p><p><strong>Conclusions: </strong>Utilizing 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.</p>","PeriodicalId":40753,"journal":{"name":"Nursing Reports","volume":"14 4","pages":"3819-3829"},"PeriodicalIF":2.4000,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nursing Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/nursrep14040279","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
Abstract
Background/objectives: The 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.
Methods: A 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 (n = 151).
Results: The 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, p = 0.06). The qualitative analysis indicated that the attitudes impacted were challenging and overcoming ageism, increased empathy and patience, and enhanced communication skills.
Conclusions: Utilizing 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.
期刊介绍：
Nursing Reports is an open access, peer-reviewed, online-only journal that aims to influence the art and science of nursing by making rigorously conducted research accessible and understood to the full spectrum of practicing nurses, academics, educators and interested members of the public. The journal represents an exhilarating opportunity to make a unique and significant contribution to nursing and the wider community by addressing topics, theories and issues that concern the whole field of Nursing Science, including research, practice, policy and education. The primary intent of the journal is to present scientifically sound and influential empirical and theoretical studies, critical reviews and open debates to the global community of nurses. Short reports, opinions and insight into the plight of nurses the world-over will provide a voice for those of all cultures, governments and perspectives. The emphasis of Nursing Reports will be on ensuring that the highest quality of evidence and contribution is made available to the greatest number of nurses. Nursing Reports aims to make original, evidence-based, peer-reviewed research available to the global community of nurses and to interested members of the public. In addition, reviews of the literature, open debates on professional issues and short reports from around the world are invited to contribute to our vibrant and dynamic journal. All published work will adhere to the most stringent ethical standards and journalistic principles of fairness, worth and credibility. Our journal publishes Editorials, Original Articles, Review articles, Critical Debates, Short Reports from Around the Globe and Letters to the Editor.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
