Exploring the role of ChatGPT in artificial intelligence literacy: a study on usage and acceptance among nursing students

The integration of artificial intelligence into nursing education has heightened the importance of AI literacy as a core competency. This study aimed to answer the focused research question: What is the relationship between ChatGPT use and acceptance in relation to AI literacy among nursing students? A cross-sectional design was employed, utilising self-report questionnaires administered to 436 nursing students at the Faculty of Nursing at Adnan Menderes University, located in the city of Aydın in Turkey, in June 2024. Data were collected using convenience sampling, including the Student Introduction Form and two validated and reliable scales: the ‘Generative Artificial Intelligence Acceptance Scale’ and the ‘Artificial Intelligence Literacy Scale’. To assess the normality of the data, skewness and kurtosis values (within the range of ± 2) were considered. Statistical analyses included descriptive statistics, t-tests, ANOVA, Pearson correlation, and a simple linear regression analyses, with significance set at p < 0.05. The mean AI literacy score was 60.43 ± 9.91, while the mean ChatGPT acceptance score was 68.20 ± 15.14. Nearly all students (99.8%) reported daily use of AI tools. A moderate positive correlation was observed between ChatGPT acceptance and AI literacy (r = 0.327, p < 0.001). ChatGPT acceptance explained 10.7% of the variance in AI literacy scores (R² = 0.107). The findings demonstrated a significant relationship between ChatGPT acceptance and AI literacy. Integrating generative AI tools into nursing education may enhance AI literacy and critical thinking; however, longitudinal and experimental studies are required to confirm these potential effects.

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Publication Details

Journal
BMC Medical Education
Published
2026-02-16
DOI
https://doi.org/10.1186/s12909-026-08822-7
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

Exploring the role of ChatGPT in artificial intelligence literacy: a study on usage and acceptance among nursing students

Nihal TAŞKIRAN, Gülengün Türk, Ayşegül Hacı
BMC Medical Education
Artificial Intelligence in Healthcare and Education
article

Exploring the role of ChatGPT in artificial intelligence literacy: a study on usage and acceptance among nursing students

Nihal TAŞKIRAN, Gülengün Türk, Ayşegül Hacı
article en

Abstract

The integration of artificial intelligence into nursing education has heightened the importance of AI literacy as a core competency. This study aimed to answer the focused research question: What is the relationship between ChatGPT use and acceptance in relation to AI literacy among nursing students? A cross-sectional design was employed, utilising self-report questionnaires administered to 436 nursing students at the Faculty of Nursing at Adnan Menderes University, located in the city of Aydın in Turkey, in June 2024. Data were collected using convenience sampling, including the Student Introduction Form and two validated and reliable scales: the ‘Generative Artificial Intelligence Acceptance Scale’ and the ‘Artificial Intelligence Literacy Scale’. To assess the normality of the data, skewness and kurtosis values (within the range of ± 2) were considered. Statistical analyses included descriptive statistics, t-tests, ANOVA, Pearson correlation, and a simple linear regression analyses, with significance set at p < 0.05. The mean AI literacy score was 60.43 ± 9.91, while the mean ChatGPT acceptance score was 68.20 ± 15.14. Nearly all students (99.8%) reported daily use of AI tools. A moderate positive correlation was observed between ChatGPT acceptance and AI literacy (r = 0.327, p < 0.001). ChatGPT acceptance explained 10.7% of the variance in AI literacy scores (R² = 0.107). The findings demonstrated a significant relationship between ChatGPT acceptance and AI literacy. Integrating generative AI tools into nursing education may enhance AI literacy and critical thinking; however, longitudinal and experimental studies are required to confirm these potential effects.

BMC Medical EducationVol. 26(1)
Adnan Menderes University (TR)
Quality Education
Openalex Percentile: Top 55%
Artificial Intelligence in Healthcare and Education
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