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Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions

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 in...

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Autores principales: Kwak, Yeunhee, Ahn, Jung-Won, Seo, Yon Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526272/
https://www.ncbi.nlm.nih.gov/pubmed/36180902
http://dx.doi.org/10.1186/s12912-022-01048-0
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author Kwak, Yeunhee
Ahn, Jung-Won
Seo, Yon Hee
author_facet Kwak, Yeunhee
Ahn, Jung-Won
Seo, Yon Hee
author_sort Kwak, Yeunhee
collection PubMed
description 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 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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spelling pubmed-95262722022-10-02 Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions Kwak, Yeunhee Ahn, Jung-Won Seo, Yon Hee BMC Nurs Research 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 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. BioMed Central 2022-09-30 /pmc/articles/PMC9526272/ /pubmed/36180902 http://dx.doi.org/10.1186/s12912-022-01048-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kwak, Yeunhee
Ahn, Jung-Won
Seo, Yon Hee
Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions
title Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions
title_full Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions
title_fullStr Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions
title_full_unstemmed Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions
title_short Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions
title_sort influence of ai ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526272/
https://www.ncbi.nlm.nih.gov/pubmed/36180902
http://dx.doi.org/10.1186/s12912-022-01048-0
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