Purpose: This study aims to explore the factors influencing nursing professionalism among nursing students, focusing on the image of nurses, satisfaction with their major, and career metacognition. Methods: We conducted a descriptive survey with 185 nursing students from D city and K region on June 10–30, 2024. Data were analyzed using IBM SPSS ver. 27.0 (IBM Corp.), employing descriptive statistics, t tests, one-way ANOVA, Scheffé tests, Pearson’s correlation coefficients, and regression analysis. Multiple linear regression analysis was used to identify factors affecting nursing professionalism among nursing students. Results: The regression analysis revealed that the image of nurses (β=.69, p<.001) and monitoring aspect of career metacognition (β=.13, p=.025) were significant predictors of nursing professionalism, accounting for 64.5% of the variance. Conclusion The findings indicate that the image of nurses and monitoring component of career metacognition are critical in shaping nursing professionalism among nursing students. Therefore, nursing education programs should aim to improve the image of nurses and promote self-reflective career practices as strategies to foster professionalism among nursing students.

Purpose: This study aims to explore the factors influencing nursing professionalism among nursing students, focusing on the image of nurses, satisfaction with their major, and career metacognition. Methods: We conducted a descriptive survey with 185 nursing students from D city and K region on June 10–30, 2024. Data were analyzed using IBM SPSS ver. 27.0 (IBM Corp.), employing descriptive statistics, t tests, one-way ANOVA, Scheffé tests, Pearson’s correlation coefficients, and regression analysis. Multiple linear regression analysis was used to identify factors affecting nursing professionalism among nursing students. Results: The regression analysis revealed that the image of nurses (β=.69, p<.001) and monitoring aspect of career metacognition (β=.13, p=.025) were significant predictors of nursing professionalism, accounting for 64.5% of the variance. Conclusion The findings indicate that the image of nurses and monitoring component of career metacognition are critical in shaping nursing professionalism among nursing students. Therefore, nursing education programs should aim to improve the image of nurses and promote self-reflective career practices as strategies to foster professionalism among nursing students.

Purpose: This study aims to explore the factors influencing nursing professionalism among nursing students, focusing on the image of nurses, satisfaction with their major, and career metacognition. Methods: We conducted a descriptive survey with 185 nursing students from D city and K region on June 10–30, 2024. Data were analyzed using IBM SPSS ver. 27.0 (IBM Corp.), employing descriptive statistics, t tests, one-way ANOVA, Scheffé tests, Pearson’s correlation coefficients, and regression analysis. Multiple linear regression analysis was used to identify factors affecting nursing professionalism among nursing students. Results: The regression analysis revealed that the image of nurses (β=.69, p<.001) and monitoring aspect of career metacognition (β=.13, p=.025) were significant predictors of nursing professionalism, accounting for 64.5% of the variance. Conclusion The findings indicate that the image of nurses and monitoring component of career metacognition are critical in shaping nursing professionalism among nursing students. Therefore, nursing education programs should aim to improve the image of nurses and promote self-reflective career practices as strategies to foster professionalism among nursing students.

Purpose: This study aims to explore the factors influencing nursing professionalism among nursing students, focusing on the image of nurses, satisfaction with their major, and career metacognition. Methods: We conducted a descriptive survey with 185 nursing students from D city and K region on June 10–30, 2024. Data were analyzed using IBM SPSS ver. 27.0 (IBM Corp.), employing descriptive statistics, t tests, one-way ANOVA, Scheffé tests, Pearson’s correlation coefficients, and regression analysis. Multiple linear regression analysis was used to identify factors affecting nursing professionalism among nursing students. Results: The regression analysis revealed that the image of nurses (β=.69, p<.001) and monitoring aspect of career metacognition (β=.13, p=.025) were significant predictors of nursing professionalism, accounting for 64.5% of the variance. Conclusion The findings indicate that the image of nurses and monitoring component of career metacognition are critical in shaping nursing professionalism among nursing students. Therefore, nursing education programs should aim to improve the image of nurses and promote self-reflective career practices as strategies to foster professionalism among nursing students.