J Korean Acad Soc Nurs Educ.  2023 Nov;29(4):371-380. 10.5977/jkasne.2023.29.4.371.

The impact of nursing students’ biomedical and artificial intelligence ethical awareness, ethical values, and professional self-concept on their ethical decision-making confidence

Affiliations
  • 1Professor, Department of Nursing Science, Chungbuk National University
  • 2Professor, Department of Nursing, Korean Bible University

Abstract

Purpose
The purpose of this study is to determine the relationship between nursing students’ biomedical and artificial intelligence (AI) ethical awareness, ethical values, professional self-concept, and ethical decision-making confidence, and to then identify factors that can influence their ethical decision-making confidence.
Methods
This study employed a descriptive research method and was conducted from June 8 to 12, 2023, with 204 students from three nursing colleges in Korea. The collected data were analyzed by frequency and percentage, independent t-test, Pearson’s correlation coefficient, and multiple regression using IBM SPSS 23.0.
Results
The results of the multiple regression analysis showed that the regression model was significant (F=18.88, p<.001) and that professional self-concept (β=.46, p<.001), ethics education (β=.23, p<.001), AI ethical awareness (β=.16, p=.020), and relativistic ethical values (β=.14, p=.035) explained 34.6% of the nursing students’ ethical decision-making confidence.
Conclusion
It is necessary to include professional self-concept, AI ethical awareness, and ethical values contents when constructing the curriculums of educational programs in order to improve nursing students’ ethical decision-making confidence.

Keyword

Nursing students, Bioethics, Artificial intelligence, Professionalism; 간호대학생, 생명윤리, 인공지능, 전문직 자아개념
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