Korean Journal of Health & Nursing (Korean J Health Nurs, KJHN)
1Assistant Professor, Department of Nursing, Kyungnam University, Changwon, Republic of Korea
2Assistant Professor, Department of Nursing, Sunlin University, Pohang, Republic of Korea
Correspondence to Kyong-Suk Hong, E-mail: visionforyou@naver.com
Korean J Health Nurs 2025;2(2):163-171. https://doi.org/10.12972/kjhn.2025.2.2.10
Received on December 9, 2025, Revised on December 29, 2025, Accepted on December 29, 2025, Published onDecember 31, 2025.
© Author(s). This is an Open Access article distributed under the terms of the Creative Commons CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Purpose: This study aimed to investigate the effects of AI literacy and academic self-efficacy on the problem-solving ability of nursing students. Methods: Participants comprised 134 nursing students who understood the purpose of this study and wished to participate. Data were collected from October 20 to October 31, 2025, using an online survey, and analyzed using SPSS WIN 23.0, including descriptive statistics, t-tests, one-way ANOVA, Scheffé’s tests, Pearson’s correlation coefficients, and multiple regression analyses. Results: AI literacy exhibited significant positive correlations with academic self-efficacy (r=.62, p<.001) and problem-solving abilities (r=.61, p<.001). Academic self-efficacy was significantly and positively correlated with problem-solving ability (r=.75, p<.001). Multiple regression analysis revealed that AI literacy (β=.25, p<.001) and academic self-efficacy (β=.59, p<.001) as significant predictors of problem-solving ability. Conclusion: Developing a stepwise program within the curriculum to enhance AI literacy and academic self-efficacy among nursing students is required
Artificial Intelligence, Literacy, Nursing Student, Problem Solving, Self Efficacy