Artificial Intelligence Attitudes and Time Management Among Undergraduate Nursing Students: A Cross‐Sectional Study

OpenAlex İngilizce

BACKGROUND: Artificial 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. AIM: This study aimed to describe undergraduate nursing students' attitudes toward AI and their time management skills and to examine the relationship between these variables. METHODS: This 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. RESULTS: Among 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). CONCLUSIONS: Nursing 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.