Artificial Intelligence Anxiety and Perceived Future Employability Among Aviation Students

Authors : Arif Tuncal, Seda Çeken

Pages : 118-132

Doi:10.18394/iid.1594301

View : 392 | Download : 1311

Publication Date : 2025-10-29

Article Type : Research Paper

Abstract :The aim of the study was to examine the effect of artificial intelligence anxiety and its sub-dimensions on perceived future employability among aviation students. Data were collected through an online survey with 909 participants. The artificial intelligence anxiety scale and the perceived future employability scale were employed as data collection instruments. The multiple linear regression analysis revealed the limited explanatory power of the artificial intelligence anxiety sub-dimensions on perceived future employability (R² = .024, adj. R² = .020). Among the sub-dimensions, artificial intelligence socio-technical blindness positively influenced PFE (β = .130, p = .009), while artificial intelligence learning had a negative impact (β = -.142, p = .001). No significant effects were found for artificial intelligence job replacement and artificial intelligence configuration. Difference tests showed significant variances among the demographic groups. The results demonstrated that the impact of artificial intelligence anxiety on perceived future employability is typically insufficient to be considered significant, reflecting the technical and human-focused structure of the aviation sector.
Keywords : Havacılık, İstihdam, Havacılık Eğitimi, Yapay Zekâ, Yapay Zekâ Kaygısı

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