The Relationship Between Artificial Intelligence Literacy and Attitudes Toward Artificial Intelligence Among Nursing Students
TL;DR
The findings indicate that nursing students had generally positive levels of AI literacy and attitudes toward AI, and higher AI literacy was associated with more positive attitudes toward AI.
Abstract
Background: As artificial intelligence (AI) continues to advance, nursing education programs should ensure that student nurses acquire knowledge and skills necessary to effectively use AI technologies. Aim: This study aimed to examine the relationship between nursing students' AI literacy and their attitudes toward AI. Methods: This descriptive, cross-sectional study included 478 nursing students who met the inclusion criteria and agreed to participate. Data were collected using an Information Form, the AI Literacy Scale, and the AI Attitude Scale. Data were analyzed using descriptive statistics, the Student's t-test, the Kruskal–Wallis test, Pearson correlation analysis, and linear regression analysis. A p value <0.05 was considered statistically significant. Results: The mean AI Literacy Scale score was 60.55±10.98 (range: 12–84), and the mean AI Attitude Scale score was 45.75±6.76 (range: 13–65). A statistically significant, moderate positive correlation was found between students' AI liter-acy and AI attitude scores (r=0.502, p<0.05). Additionally, AI literacy and attitude scores differed significantly according to students' academic year, interest in AI, knowledge of AI, and knowledge of AI applications in health sciences and nursing. Conclusion: The findings indicate that nursing students had generally positive levels of AI literacy and attitudes toward AI. Higher AI literacy was associated with more positive attitudes toward AI. Accordingly, considering AI literacy and related competencies in nursing education may be beneficial in preparing students to engage with AI technologies in their future professional practice.