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Journals / SPORMETRE Beden Eğitimi ve Spor Bilimleri Dergisi / 2026 / Cilt: 24 Sayı: 3

The Relationship Between Artificial Intelligence Anxiety and Career Decidedness of Athletes

Sporcuların Yapay Zeka Kaygısı ile Kariyer Kararlılığı Arasındaki İlişki

Umut Nalbant(DOĞU AKDENİZ ÜNİVERSİTESİ)0000-0002-6781-2391
Namık Bekar(İSTANBUL ÜNİVERSİTESİ)0000-0001-8372-4837
Mehmet Doğan(MİLLİ SAVUNMA ÜNİVERSİTESİ, MİLLİ SAVUNMA VE GÜVENLİK ENSTİTÜSÜ)0000-0002-0373-0047
Pages
671–682
Publication Date
2026-09-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The MANOVA results indicated a statistically significant difference only in the “artificial intelligence configuration” sub-dimension of the AIAS based on gender, with female athletes scoring higher than male athletes.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study aims to examine the relationship between artificial intelligence anxiety and career decidedness among athletes and to determine whether these variables differ according to certain demographic characteristics.
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Key Findings & Data:The research was conducted with a sample of 392 athletes competing in different sports disciplines.
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Conclusion & Impact:The MANOVA results indicated a statistically significant difference only in the “artificial intelligence configuration” sub-dimension of the AIAS based on gender, with female athletes scoring higher than male athletes.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Yapay Zekâ Kaygısı · Kariyer Kararlılığı · Sporcular

Abstract

This study aims to examine the relationship between artificial intelligence anxiety and career decidedness among athletes and to determine whether these variables differ according to certain demographic characteristics. The research was conducted with a sample of 392 athletes competing in different sports disciplines. The sample consisted of 122 female and 270 male athletes, with a mean age of 20.67 years. Data were collected using validated and reliable measurement tools, including the Artificial Intelligence Anxiety Scale (AIAS) and the Career Decidedness Scale (CDS). After confirming that the assumptions required for parametric analyses were met, descriptive statistics, independent samples t-tests, MANOVA, ANOVA, and correlation analyses were employed. The MANOVA results indicated a statistically significant difference only in the “artificial intelligence configuration” sub-dimension of the AIAS based on gender, with female athletes scoring higher than male athletes. Correlation analyses showed a low-level, negative, and statistically significant relationship between the “learning” sub-dimension of the AIAS and CDS scores (p < 0.05). Conversely, a low-level, positive, and statistically significant relationship was found between the “sociotechnical blindness” sub-dimension of the AIAS and CDS scores (p < 0.05). These findings suggest that athletes who experience higher levels of anxiety related to learning processes involving artificial intelligence tend to exhibit greater career indecision, whereas athletes who are less sensitive to the potential risks and threats associated with artificial intelligence technologies demonstrate greater decisiveness in their career choices. Future research may further expand on these findings by investigating the impact of awareness and education programs on athletes’ career decision-making processes.

Özet

Bu araştırmanın amacı, sporcuların yapay zekâ (YZ) kaygıları ile kariyer kararlılıkları arasındaki ilişkiyi incelemek ve bu değişkenlerin bazı demografik özelliklere göre farklılık gösterip göstermediğini belirlemektir. Araştırma, farklı spor disiplinleri ve performans seviyelerinden 392 sporcu örnekleminde gerçekleştirilmiştir. Örneklem, 122 kadın ve 270 erkek sporcudan oluşmakta olup, katılımcıların yaş ortalaması 20,67’dir. Katılımcılar, geçerliliği ve güvenilirliği kanıtlanmış olan Yapay Zekâ Kaygı Ölçeği (YZKÖ) ve Kariyer Kararlılığı Ölçeği (KKÖ) gibi ölçüm araçlarını doldurmuşlardır. Parametrik analizler için gerekli varsayımlar test edildikten sonra, betimsel istatistikler, t-testi, MANOVA, ANOVA ve korelasyon analizleri uygulanmıştır. MANOVA sonuçları, YZKÖ alt boyutlarından yalnızca Yapay Zekâ Yapılandırması boyutunda cinsiyete bağlı olarak anlamlı bir fark olduğunu ve kadın sporcuların bu boyutta daha yüksek kaygı düzeyine sahip olduğunu göstermiştir. Korelasyon analizleri, YZKÖ’nün Öğrenme alt boyutu ile KKÖ ortalama puanları arasında düşük düzeyde negatif ve istatistiksel olarak anlamlı bir ilişki olduğunu ortaya koymuştur (r = -0,12, p < 0,05). Buna karşılık, YZKÖ’nün Sosyoteknik Körlük alt boyutu ile KKÖ ortalama puanları arasında düşük düzeyde pozitif ve istatistiksel olarak anlamlı bir ilişki bulunmuştur (r = 0,10, p < 0,05). Bu bulgular, yapay zekâ ile ilgili öğrenme süreçlerinde kaygı düzeyi yüksek olan sporcuların kariyer kararsızlığı yaşadığını, buna karşılık YZ teknikleri ve ürünlerinin olası risk ve tehditlerine karşı duyarsızlaşma eğiliminde olan sporcuların ise kariyer kararlarında daha kararlı bir tutum sergilediklerini göstermektedir. Gelecek araştırmalar, YZ farkındalığını artırıcı eğitim programlarının sporcuların kariyer kararlarına etkilerini inceleyerek bu bulguları daha da derinleştirebilir.

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Cite This Article

Nalbant, U., Bekar, N., Doğan, M. (2026). The Relationship Between Artificial Intelligence Anxiety and Career Decidedness of Athletes. SPORMETRE Beden Eğitimi ve Spor Bilimleri Dergisi, Cilt: 24 Sayı: 3, 671–682. https://doi.org/10.33689/spormetre.1842540

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