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F. Çalışkan

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Open access Sep 2026

The relationship between nursing students’ digital literacy and their levels of clinical decision-making

The rapid integration of digital health technologies into healthcare has made digital literacy a fundamental competency for nursing students. Digital literacy may facilitate evidence-based practice and enhance clinical decision-making by supporting the effective and critical use of digital health technologies. However, evidence regarding the relationship between digital literacy and clinical decision-making among nursing students remains limited. Therefore, this study aimed to examine the relationship between nursing students’ digital literacy levels and clinical decision-making skills. This was a descriptive, cross-sectional, and correlational study. A total of 271 nursing students participated in the study. Data were collected between June 2, and June 19, 2026, using an Information Form, the Digital Literacy Scale, and the Clinical Decision-Making in Nursing Scale. Data were analyzed using descriptive statistics, Student’s t-test, one-way ANOVA, Mann–Whitney U test, Pearson correlation analysis, and multiple linear regression analysis. The Digital Literacy Scale mean score was 65.40 ± 10.62, whereas the Clinical Decision-Making in Nursing Scale mean score was 137.49 ± 14.04. Digital literacy scores differed significantly according to gender, academic year, daily internet use, and purpose of internet use (all p  < 0.05). Clinical decision-making scores differed significantly by gender, daily internet use, and health information-seeking behavior (all p  < 0.05). Digital literacy was positively associated with clinical decision-making, with weak-to-moderate correlations. Multiple linear regression analysis showed that only the Attitude subscale of digital literacy significantly predicted clinical decision-making, explaining 12.6% of the variance ( β  = 0.344, p  = 0.001). Digital literacy was positively associated with clinical decision-making among nursing students, and the attitude subscale of digital literacy emerged as a significant predictor of clinical decision-making. These results highlight the importance of fostering digital literacy, particularly positive attitudes toward digital technologies, within undergraduate nursing education to better prepare future nurses for digitally supported healthcare environments.

Figen Çalışkan · 0 citations
Open access Aug 2026

Personality Traits and Academic Self-Efficacy Among Nursing Students

Background: Personality traits distinguish individuals from one another and provide a basis for predicting future behavior. Nursing students’ confidence in managing academic challenges plays a crucial role in their academic success and professional development. Aim: This study aimed to examine the relationship between personality traits and academic self-efficacy (SE) among nursing students. Methods: This correlational study included 281 nursing students. Data were collected using an Information Form, the Academic Self-Efficacy Scale (ASES), and the Five-Factor Personality Scale. Descriptive statistics, the Kolmogorov–Smirnov test, and Spearman correlation analysis were used to analyze the data. Results: The students’ grade point averages ranged from 0.90 to 3.91, with a mean of 2.81±0.48. The study revealed a relationship between nursing students’ personality traits and their academic SE. The mean ASES total score was 19.15±3.33. Students who perceived their academic achievement as high had higher ASES scores compared to those who perceived their achievement as moderate or low. Conclusion: The findings suggest that educators should consider individual differences in personality traits and provide support to enhance students’ academic success and SE.

Figen Çalışkan, Nihan Altan Sarıkaya, M. Aslan · 0 citations

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