Impact of Artificial Intelligence on Nursing Students' Attitudes toward Older Adults: A Pre/Post-Study.
| Autor: | White, Anne, Maguire, Mary Beth, Brown, Austin, Keen, Diane |
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| Předmět: |
ELDER care
COMMUNITY health nursing T-test (Statistics) SATISFACTION MEDICAL quality control ARTIFICIAL intelligence EDUCATIONAL outcomes QUESTIONNAIRES EDUCATIONAL technology TEACHING methods DESCRIPTIVE statistics NURSING PRE-tests & post-tests EXPERIENCE STUDENTS PATIENT-centered care NURSES' attitudes CONCEPTUAL structures KOLB'S Experiential Learning theory INFERENTIAL statistics BACCALAUREATE nursing education COLLEGE students LEARNING strategies COMPARATIVE studies DATA analysis software NURSING students |
| Zdroj: | Nursing Reports; Jun2024, Vol. 14 Issue 2, p1129-1135, 7p |
| Abstrakt: | 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 (n = 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, p = 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. [ABSTRACT FROM AUTHOR] |
| Databáze: | Complementary Index |
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