White Anne, Maguire Mary Beth, Brown Austin, Keen Diane
Wellstar School of Nursing, Kennesaw State University, Kennesaw, GA 30144, USA.
School of Data Science and Analytics, Kennesaw State University, Kennesaw, GA 30144, USA.
Nurs Rep. 2024 Apr 29;14(2):1129-1135. doi: 10.3390/nursrep14020085.
As the global population ages, nurses with a positive attitude toward caring for older adults is crucial. However, studies indicate that nursing students often exhibit negative attitudes toward older adults. This study aimed to determine if a three-phased educational intervention significantly improved nursing students' attitudes toward older adults. A pre/post-test study design was used to measure the change in nursing students' attitudes toward older adults, as measured by the UCLA Geriatrics Attitudes Survey, after participating in an Artificial Intelligence in Education learning event ( = 151). 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, = 0.06). Incorporating artificial intelligence technology in a learning event is an effective educational strategy due to its convenience, repetition, and measurable learning outcomes. Improved attitudes toward older adults are foundational for delivering competent care to a rapidly growing aging population. This study was prospectively registered with the university's Institutional Review Board (IRB) on 30 July 2021 with the registration number IRB-FY22-3.
随着全球人口老龄化，对照顾老年人持有积极态度的护士至关重要。然而，研究表明护理专业学生对老年人往往表现出消极态度。本研究旨在确定三阶段教育干预是否能显著改善护理专业学生对老年人的态度。采用前后测试研究设计，通过加州大学洛杉矶分校老年医学态度调查来衡量护理专业学生在参加教育中的人工智能学习活动后（n = 151）对老年人态度的变化。结果表明，干预后得分（M = 35.07，SD = 5.34）高于干预前得分（M = 34.50，SD = 4.86）。在0.10的显著性水平上，这种差异具有统计学意义（t = 1.88，p = 0.06）。由于其便利性、重复性和可衡量的学习成果，在学习活动中融入人工智能技术是一种有效的教育策略。对老年人态度的改善是为快速增长的老年人口提供有效护理的基础。本研究于2021年7月30日在该大学机构审查委员会（IRB）进行了前瞻性注册，注册号为IRB-FY22-3。
