Aug 2026· Nursing Reports· Vol 16· 0 citations· 43 references
Medicine
TL;DR
AI literacy and critical thinking disposition were significantly associated with clinical competence among nursing students with clinical practice experience and nursing education may consider strategies that address both competencies.
Abstract
Highlights What are the main findings? AI literacy and critical thinking disposition were significantly associated with clinical competence among nursing students with clinical practice experience. Satisfaction with clinical practice, critical thinking disposition, AI literacy, and academic year were identified as significant factors associated with clinical competence. What are the implications of the main findings? Nursing education may consider AI literacy as an emerging educational competency associated with clinical competence in rapidly changing healthcare environments. AI literacy and critical thinking disposition may be considered together in nursing education strategies related to clinical competence. Abstract Background/Objectives: As artificial intelligence (AI) becomes increasingly integrated into healthcare, AI literacy and critical thinking disposition are recognized as important competencies for nursing students in rapidly changing clinical environments. This study aimed to examine the associations of AI literacy and critical thinking disposition with clinical competence among nursing students. Methods: A descriptive cross-sectional study was conducted with 200 nursing students with clinical practice experience who were enrolled in nine nursing colleges located in D City and K Province, Republic of Korea. Data were collected using a structured questionnaire and analyzed using IBM SPSS/WIN 25.0. Statistical analyses included descriptive statistics, t-tests, analysis of variance (ANOVA), Scheffé post hoc tests, Pearson’s correlation coefficients, and multiple regression analysis. Results: Satisfaction with clinical practice (β = 0.35, p < 0.001), critical thinking disposition (β = 0.34, p < 0.001), AI literacy (β = 0.23, p = 0.001), and academic year (β = 0.15, p = 0.009) were significantly associated with clinical competence. The model explained 40% of the variance in clinical competence (R2 = 0.40, adjusted R2 = 0.39, F = 26.11, p < 0.001). Conclusions: The findings indicate that critical thinking disposition and AI literacy were significantly associated with clinical competence among nursing students. Nursing education may therefore consider strategies that address both competencies.
It is suggested that integrated educational strategies to strengthen digital literacy and critical thinking are necessary to improve AI ethical awareness among nursing students.
Hyun Ji Kim· Forum of Public Safety and C...· 0 citations
It is indicated that both self-directed learning and AI acceptance are associated with perceived clinical competence, with AI acceptance acting as a mediating factor.
Boshra Karem Mohamed El-Sayed, Ayman Ateq Alamri, M. G. R. Asal et al.· BMC Medical Education· 0 citations
Initial evidence is provided that the NAIRS is a valid and reliable instrument for assessing nursing students' readiness for artificial intelligence across knowledge/awareness, willingness to use AI, self-efficacy, and ethical awareness domains and may be useful for educational needs assessment and curriculum planning...
Sumeyye Akçoban, Gülay Koca, S. Berşe· BMC Nursing· 0 citations
Clinical leadership proficiency is uneven in different domains and therefore calls for more emphasis on strategic leadership education in nursing profession students through leadership learning and competency-based education.
The findings indicate that nursing students had generally positive levels of AI literacy and attitudes toward AI, and higher AI literacy was associated with more positive attitudes toward AI.
M. Çil, Berna Eren Fidanci, D. Yıldız· Journal of Education and Res...· 0 citations
Structured, hands-on AI training that integrates ethical reflection for older nurses with more experience but limited professional education is needed and essential to support safe and equitable AI utilization by critical care nurses in Oman.
Shreedevi Balachandran, J. Muliira, E. Lazarus et al.· The Scientist· 0 citations
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