ArticleJournal of nursing management2026
Artificial Intelligence Attitudes and Time Management Among Undergraduate Nursing Students: A Cross-Sectional Study.
Article in Journal of nursing management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Meta-synthesis of nursing students' experiences with generative artificial intelligence-assisted learning.Frontiers in medicine · 2026Pooled it
- Artificial Intelligence Attitudes and Time Management Among Undergraduate Nursing Students: A Cross-Sectional Study.Journal of nursing management · 2026Article
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2 authors.
Funding
Abstract
backgroundArtificial intelligence (AI) has emerged as an innovative technology that is increasingly used in healthcare. In the nursing profession, AI offers several advantages, including time savings through accelerated care processes, reduced error rates, and enhanced patient safety.
aimThis study aimed to describe undergraduate nursing students' attitudes toward AI and their time management skills and to examine the relationship between these variables.
methodsThis cross-sectional study was conducted with 360 undergraduate nursing students enrolled at a state university in northwestern Turkey. The data were collected between September and December 2024 using the Individual Identification Form, the General Attitude Scale Towards AI, and the Time Management Questionnaire. The study was conducted in accordance with the principles of the Declaration of Helsinki.
resultsAmong participants, 58.9% were aged 21 years and above, 83.3% were female, and 32.5% were first-year students. The mean score on the General Attitudes Toward AI Scale was 68.92 ± 9.21, while the mean score on the Time Management Questionnaire was 85.02 ± 12.61. A statistically significant positive correlation was found between attitudes toward AI and time management skills (r = 0.119, p < 0.05).
conclusionsNursing students demonstrated high levels of positive attitudes toward AI and strong time management skills. As students' attitudes toward AI increased, their time management skills also improved. Further controlled and longitudinal studies are needed to confirm the mechanisms and long-term effects of AI-based time efficiency. Integrating AI literacy and ethical use modules into undergraduate nursing curricula is recommended to promote the responsible and effective use of AI tools in the context of patient safety and academic integrity.
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