Artificial Intelligence Anxiety and Perceived Future Employability Among Aviation Students

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

• Aviation
• Employment
• Aviation Training
• Artificial Intelligence
• Artificial Intelligence Anxiety

Havacılık Öğrencilerinin Yapay Zekâ Kaygıları ve Gelecekteki İstihdam Edilebilirlik Algıları

Abstract

Bu çalışmanın amacı havacılık ile ilgili bölümlerde öğrenim gören üniversite öğrencilerinde yapay zekâya ilişkin kaygı ve alt boyutlarının, algılanan gelecekteki istihdam edilebilirlik üzerindeki etkisini incelemektir. Araştırma verileri çevrimiçi anket aracılığıyla 909 katılımcıdan toplanmıştır. Veri toplama aracı olarak yapay zekâ kaygı ölçeği ve algılanan gelecekteki istihdam edilebilirlik ölçeği kullanılmıştır. Çoklu doğrusal regresyon analizi yapay zekâ kaygısı alt boyutlarının algılanan gelecekteki istihdam edilebilirlik üzerindeki açıklayıcı gücünün sınırlı olduğunu göstermiştir (R² = .024, adj. R² = .020). Yapay zekâ sosyoteknik körlük boyutu algılanan gelecekteki istihdam edilebilirlik üzerinde pozitif (β = .130, p = .009), öğrenme kaygısı ise negatif (β = -.142, p = .001) etkiler göstermiştir. Yapay zekâ iş değiştirme ve yapılandırma boyutlarının etkisi anlamlı bulunmamıştır. Demografik değişkenlere dayalı testler bazı gruplar arasında anlamlı farklılıklar ortaya koymuştur. Bulgular yapay zekâ kaygısının algılanan gelecekteki istihdam edilebilirlik üzerindeki etkisinin anlamlı olmadığı, havacılık sektörünün teknik ve insan odaklı yapısıyla ilişkili olduğu sonucunu desteklemiştir.

Keywords

• Havacılık
• İstihdam
• Havacılık Eğitimi
• Yapay Zekâ
• Yapay Zekâ Kaygısı

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