Jan 2026· Journal of Nursing Management· Vol 2026· 0 citations· 44 references
Medicine
Abstract
Aims and Objectives To investigate the mediating role of nursing students’ artificial intelligence (AI) ethics awareness between the association of attitudes toward AI technology and perceived AI utilization. Background A paucity of studies exists about the role of AI ethics awareness between attitudes toward AI technology and perceived AI utilization, particularly among nursing students. Methods A multisite cross‐sectional, correlational research participated by nursing students (n = 765) that were consecutively recruited from four nursing colleges (two private and two public owned) in Saudi Arabia. Three standardized self‐report scales were utilized to collect data, and covariance‐based structural equation modeling, using maximum likelihood estimation and bias‐corrected bootstrap method, and mediation analyses were employed for data analyses. Results The mean age of participants was 23.98 years old (SD = 4.40), and majority were females (78.90%), were second year students (33.85%), and had a mean grade point average of 4.16 (SD = 0.65). AI technology attitudes were positively associated with AI ethics awareness (β = 0.84, p = 0.001, and 95% CI = 0.76–0.94) and AI utilization (β = 0.55, p = 0.010, and 95% CI = 0.13–0.97). AI ethics awareness was positively associated with AI utilization (β = 0.41, p = 0.043, and95% CI = 0.01–0.84). Mediation analysis showed that AI technology attitudes were indirectly associated with AI utilization (β = 0.36, p = 0.013, and 95% CI = 0.05–0.68) via the mediation of AI ethics awareness. AI technology attitudes measured 72.05% of the R 2 of AI ethics awareness, while both AI ethics awareness and AI technology attitudes measured 87.94% of the R 2 of AI utilization. Conclusion Nursing students’ AI technology attitudes and AI ethics awareness were positively associated with AI utilization, whereas AI ethics mediated between AI technology attitudes and AI utilization. Policymakers, nursing educational institutions, and educators could integrate AI ethics into nursing curricula to cultivate positive AI attitudes and responsible AI usage, preparing future nurses for an AI‐integrated healthcare environment. Implications for Nursing Management Nurse administrators in the nursing educational institutions and nurse managers in affiliated clinical training centers should provide a conducive learning environment (i.e., adequate resources, teaching/learning materials, and AI‐trained staff) where students can learn AI‐integrated technologies through practical or simulated activities.
Background: Generative Artificial Intelligence (GenAI) is increasingly integrated into nursing education, yet structured AI literacy training and ethical guidance remain limited. Consequently, nursing students often rely on informal learning, resulting in variability in AI readiness, confidence, and responsible use. Aims: This study was conducted to examine (1) whether AI literacy was positively associated with AI self-efficacy and AI attitudes and (2) whether AI self-efficacy mediated the relationship between AI literacy and AI attitudes. Methods: A cross-sectional survey using convenience sampling was conducted with 100 prelicensure nursing students in New York City. Data were collected using the AI Literacy Scale (AILS), AI Self-Efficacy Scale (AISES), and Generative AI Attitude Scale (GAIAS). Correlation and path analyses were performed using SPSS and Amos 30.0. Results: The participants had a mean age of 30.25 years, and 71% were women. AI literacy and AI self-efficacy were both positively associated with AI attitudes (all p < 0.001). Path analysis showed that AI literacy significantly predicted AI self-efficacy (β = 0.39, p < 0.001) and AI attitudes (β = 0.28, p = 0.003). AI self-efficacy significantly predicted AI attitudes (β = 0.31, p = 0.001) and partially mediated the relationship between AI literacy and AI attitudes. Conclusions: AI self-efficacy partially mediated the relationship between AI literacy and AI attitudes. Nursing curricula may benefit from structured AI education that integrates guided GenAI practice, case-based learning, and faculty feedback. Such educational frameworks warrant further empirical investigation regarding their potential to foster AI literacy, AI self-efficacy, and positive attitudes toward responsible AI integration, particularly through longitudinal studies assessing subsequent behavioral outcomes.
Shinhi Han, H. Kang, P. Gimber et al.· Nursing Reports· 0 citations
The findings highlight the need for a supportive educational environment with guidance to enable nursing students to use artificial intelligence appropriately and responsibly when needed, particularly among vocational college students and those from socioeconomically disadvantaged backgrounds.
Hui-Ying Fan, Qing Zhou, Lili Deng et al.· BMC Nursing· 0 citations
Higher AI literacy was associated with lower AI anxiety, and this association was partly accounted for by AI attitudes and AI self-efficacy in the proposed serial mediation model, which suggests that more favorable attitudes may be linked to stronger self-efficacy, which may be related to lower anxiety.
Qin Zeng, Shenghua Zhang, Jiachen Hu et al.· Frontiers in Public Health· 0 citations
A high reliance on informal, self-directed AI learning exists among students, revealing a critical gap in formal education and necessitate the urgent integration of structured, equitable AI curricula into Ghana’s nursing and midwifery training programs.
B. Johnson, James Osei Yeboah, E. Klutsey et al.· Journal of Umm Al-Qura Unive...· 0 citations
Hospital-level resources, older age, and longer work experience were the factors most strongly associated with nurses’ AI training acceptance and AI tool usage, with work experience showing the strongest association with tool usage.
Linlin Guo, Qin Ding, M. Tang et al.· Frontiers in Public Health· 0 citations
Several contributing factors influenced nursing students’ readiness to embrace AI, with barriers, attitudes, and perceptions emerging as the most consistent, whereas self-efficacy and anxiety may play indirect roles.
S. Alkubati, Wesam T. Almagharbeh, Talal A Alqalah et al.· JMIR Nursing· 0 citations