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Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students' behavioral intentionsopen access

Authors
Kwak, YeunheeAhn, Jung-WonSeo, Yon Hee
Issue Date
Sep-2022
Publisher
BMC
Keywords
AI ethics awareness; Attitude toward AI; Anxiety; Self-efficacy; Behavioral intention
Citation
BMC NURSING, v.21, no.1
Journal Title
BMC NURSING
Volume
21
Number
1
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/59076
DOI
10.1186/s12912-022-01048-0
ISSN
1472-6955
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 (beta = 0.58) and self-efficacy (beta = 0.22). The adjusted R-2 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.
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Kwak, Yeunhee
적십자간호대학 (간호학과)
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