DOI: 10.32322/jhsm.1962374 ISSN: 2636-8579

The relationship between academic self-efficacy and attitudes toward Artificial Intelligence in nursing students

Hamiyet Kızıl, Rabia Eren, Halime Tamince
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Aims: The aim of this study was to examine the relationship between nursing students’ academic self-efficacy levels and their attitudes toward Artificial Intelligence (AI).Methods: This study was conducted using a descriptive and cross-sectional design and included 994 nursing students. Data were collected using an information form containing students’ sociodemographic characteristics, the Academic Self-Efficacy Scale, and the AI Attitude Scale. Descriptive statistics, independent samples t-test, one-way analysis of variance, Pearson correlation, and linear regression analyses were used for data analysis.Results: According to the findings, students’ academic self-efficacy levels were above moderate level, and their attitudes toward AI were positive. Correlation analysis revealed a positive, moderate, and statistically significant relationship between academic self-efficacy and attitudes toward AI (r=0.58; p

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