Cilt 12 Sayı 4 (2024): Business & Management Studies: An International Journal
Makaleler

Turizm eğitiminde yapay zekâ modellerinin potansiyeli: Sınav performansı ve etik tartışmalar

Levent Selman Göktaş
Dr. Öğretim Üyesi, Harran Üniversitesi, Şanlıurfa, Türkiye

Yayınlanmış 25.12.2024

Anahtar Kelimeler

  • ChatGPT, Google Gemini, Exam, Tourism
  • ChatGPT, Google Gemini, Sınav, Turizm

Nasıl Atıf Yapılır

Turizm eğitiminde yapay zekâ modellerinin potansiyeli: Sınav performansı ve etik tartışmalar. (2024). Business & Management Studies: An International Journal, 12(4), 989-1001. https://doi.org/10.15295/bmij.v12i4.2445

Nasıl Atıf Yapılır

Turizm eğitiminde yapay zekâ modellerinin potansiyeli: Sınav performansı ve etik tartışmalar. (2024). Business & Management Studies: An International Journal, 12(4), 989-1001. https://doi.org/10.15295/bmij.v12i4.2445

Öz

Bu çalışma ChatGPT Plus ve Google Gemini Advanced’ın turizm işletmeciliği, turizm pazarlaması ve turizm ekonomisi derslerindeki sınav performanslarını lisans öğrencilerinin sınav performansıyla karşılaştırmayı amaçlamıştır. Harran Üniversitesi Turizm Fakültesi'nde öğrenim görmekte olan ve bu üç ders özelinde eğitimini tamamlamış 150 öğrenci seçilerek yapay zeka modelleri ile birlikte sınavlara dahil edilmiştir. Sınavda her bir ders için alanında uzman akademisyenler tarafından 25 adet soru oluşturulmuştur. Sonuçlar, ChatGPT'nin en yüksek genel doğruluk oranına ve en düşük yanlış yanıt sayısına sahip olduğunu göstermiştir. ChatGPT turizm ekonomisi sınavında 21 doğru cevap verirken, Google Gemini 18, öğrenciler ise 16,6 doğru cevap vermiştir. Turizm pazarlaması sınavında ChatGPT 19, Google Gemini 18 öğrenciler ise 14,9 doğru cevap vermiştir. Turizm işletmeciliği sınavında ise ChatGPT 22, Google Gemini 14, öğrenciler ise 16,3 soruya doğru cevap vermiştir. Ayrıca sorular kısa, uzun, kolay soru, orta zorlukta soru, zor soru, olumsuz cümle ve senaryo soruları olarak kategorilendirilmiştir. Sonuçlar incelendiğinde tüm kategorilerde ChatGPT'nin daha başarılı olduğu görülmüştür. Yapay zeka dil modelleri belirli sınav koşullarında lisans öğrencilerinden daha etkili olsa da, bu çalışma bu teknolojilerin eğitimde kullanımını optimize etmek ve doğrulamak için daha fazla araştırmaya ihtiyaç olduğunu vurgulamaktadır. Ayrıca araştırma sonucunda yapay zeka dil modellerinin gelecekte turizm eğitiminde dönüştürücü bir rol oynayabileceği düşünülmektedir. Yapay zekâ teknolojilerinin akademik ortamlarda etik ve etkili kullanımını sağlamak için sorumlu entegrasyonun, insan gözetiminin ve daha fazla doğrulama çalışmasının gerektirdiği de önemli bir bulgu olarak karşımıza çıkmıştır.

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