Abstract
Abstract
Background
Artificial intelligence (AI) technology has recently seen rapid advancement, with an expanding role and scope in nursing education and healthcare. This study identifies the influence of AI ethics awareness, attitude toward AI, anxiety, and self-efficacy on nursing students’ behavioral intentions to use AI-based healthcare technology.
Methods
The participants included 189 nursing students in Gyeonggi-do, with data collected from November to December 2021 using self-reported questionnaires. We analyzed the data using the SPSS/WIN 26.0 program, including a t-test, Pearson’s correlation coefficient, and hierarchical multiple linear regression.
Results
The results revealed that AI ethical awareness (t = − 4.32, p < .001), positive attitude toward AI (t = − 2.60, p = .010), and self-efficacy (t = − 2.65, p = .009) scores of the third and fourth-year nursing students were higher, while their anxiety scores were lower (t = 2.30, p = .022) compared to the scores of the first and second-year nursing students. The factors influencing behavioral intention included a positive attitude toward AI (β = 0.58) and self-efficacy (β = 0.22). The adjusted R2 was 0.42.
Conclusion
It is necessary to inculcate a positive attitude toward AI and self-efficacy by providing educational programs on AI-based technology in healthcare settings.
Funder
Chung-Ang University Research Grants in 2021
Publisher
Springer Science and Business Media LLC
Reference32 articles.
1. Rajkomar A, Dean J, Kohane I. Machine learning in medicine. N Engl JMed. 2019;380:1347–58. doi:https://doi.org/10.1056/NEJMra1814259.
2. Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44–56. doi:https://doi.org/10.1038/s41591-018-0300-7.
3. Ronquillo CE, Peltonen LM, Pruinelli L, Chu CH, Bakken S, Beduschi A, Cato K, et al. Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative. J Adv Nurs. 2021;77:3707–17. doi:https://doi.org/10.1111/jan.14855.
4. Fenech M, Strukelj N, Buston O. Ethical, social and political challenges of artificial intelligence in health. In: Future Advocacy. 2018. https://futureadvocacy.com/publications/ethical-social-and-political-challenges-of-artificial-intelligence-in-health/. Accessed 8 February 2022.
5. Ko YH, Leem CS. The influence of AI technology acceptance and ethical awareness towards intention to use. J Digit Converg. 2021;19(3):217–25. doi:https://doi.org/10.14400/JDC.2021.19.3.217.