Attitudes Toward Artificial Intelligence Among Physiotherapy and Rehabilitation Students: A Cross-Sectional Study

Purpose: The aim of this study was to investigate the attitudes of Physiotherapy and Rehabilitation students towards Artificial Intelligence (AI) and to compare the attitudes towards AI according to sociodemographic variable. Methods: 212 students participated in this study. Participants’demographic data were recorded using a sociodemographic data form. Students’ attitudes toward AI were surveyed with the General Attitudes toward Artificial Intelligence Scale (GAAIS). This study was designed as a cross-sectional study. Results: Positive attitude scores differed significantly according to daily internet use duration (Kruskal–Wallis H = 17.934, p = 0.001), with higher scores observed among students using the internet more than four hours per day (47.04 ± 7.83). Negative attitude scores differed significantly by accommodation type (ANOVA F = 2.26, p = 0.003) and source of scholarship income (Kruskal–Wallis H = 2.772, p = 0.028). No significant differences were found according to age, gender, class level, type of high school graduated, perceived income status, and parental education level (p > 0.05). Conclusion: Students had positive attitudes toward AI. Moreover, while students’ attitudes were not affected by sociodemographic variables. However, greater use of the internet and AI was associated with more positive attitudes.