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Dergiler / Kuramsal Eğitimbilim Dergisi / 2026 / Cilt: 19 Sayı: 4

Öğretmen Eğitiminde ChatGPT: Öğretmen Adaylarının Bilişsel Yükünün Azaltılması

ChatGPT in Teacher Education: Reducing Pre-Service Teachers’ Cognitive Load

Özlem Üzümcü(HASAN KALYONCU UNIVERSITY, FACULTY OF EDUCATION)0000-0002-0589-5312
Sakine Hakkoymaz(HASAN KALYONCU UNIVERSITY, FACULTY OF EDUCATION)0000-0002-3005-7900
Seda Sıvacı(HASAN KALYONCU ÜNİVERSİTESİ)0000-0002-2883-0343
Mihriban Özcan(HASAN KALYONCU UNIVERSITY, FACULTY OF EDUCATION)0000-0001-6109-0132
Sayfa
739–755
Yayın Tarihi
2026-10-29
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Bulgular, ChatGPT kullanımının ardından algılanan bilişsel yükte anlamlı bir azalma olduğunu göstermiştir.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Yapay zekânın (YZ) eğitime giderek daha fazla entegre olmasıyla birlikte, öğretmen adaylarının bilişsel süreçlerindeki rolünün anlaşılması giderek daha önemli hâle gelmektedir.
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Temel Bulgular & Veri:Çalışmaya, altı haftalık uygulama süresince ders planı ve öğretim etkinlikleri hazırlarken ChatGPT kullanan 24 son sınıf öğretmen adayı katılmıştır.
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Sonuç & Katkı:Bulgular, ChatGPT kullanımının ardından algılanan bilişsel yükte anlamlı bir azalma olduğunu göstermiştir.
🔬Tür:Uygulamalı Anket & Alan Araştırması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:ChatGPT · Yapay Zekâ · Bilişsel Yük

Özet

Yapay zekânın (YZ) eğitime giderek daha fazla entegre olmasıyla birlikte, öğretmen adaylarının bilişsel süreçlerindeki rolünün anlaşılması giderek daha önemli hâle gelmektedir. Bu karma yöntem araştırması, öğretmenlik uygulaması sürecinde ders planlamada ChatGPT kullanımını; algılanan bilişsel yük, materyal kullanım biçimleri ve öğretmen adaylarının deneyimleri açısından incelemiştir. Çalışmaya, altı haftalık uygulama süresince ders planı ve öğretim etkinlikleri hazırlarken ChatGPT kullanan 24 son sınıf öğretmen adayı katılmıştır. Nicel veriler bilişsel yük değerlendirme ölçeğiyle, nitel veriler ise haftalık yansıtıcı anlatımlar yoluyla toplanmıştır. Bulgular, ChatGPT kullanımının ardından algılanan bilişsel yükte anlamlı bir azalma olduğunu göstermiştir. Katılımcıların ayrıca ChatGPT tarafından üretilen etkinlikleri internet kaynaklarından elde edilen materyallere kıyasla daha doğrudan kullandıkları belirlenmiştir. Nitel bulgular, ChatGPT’nin fikir üretme, öğretim içeriğine erişim, ders planı geliştirme ve zamanın daha verimli kullanılması açısından destek sağladığını; ancak katılımcıların yetersiz veya tekrarlayıcı içerik, öğrenme hedefleriyle uyumsuzluk ve sistem kaynaklı sorunlar gibi sınırlılıklar da bildirdiklerini ortaya koymuştur. Genel olarak bulgular, ChatGPT’nin ürettiği içerikler eleştirel biçimde değerlendirildiğinde ve pedagojik gereksinimlere göre uyarlandığında ders planlama sürecini destekleyebileceğine işaret etmektedir.

Abstract

As artificial intelligence (AI) becomes increasingly integrated into education, its implications for teacher candidates’ cognitive processes warrant closer attention. This mixed-methods study examined the use of ChatGPT during lesson planning in the teaching practicum, focusing on perceived cognitive load, patterns of material use, and teacher candidates’ experiences. Twenty-four fourth-year teacher candidates participated in a six-week implementation in which they used ChatGPT to prepare lesson plans and instructional activities. Quantitative data were collected using a cognitive load rating scale, and qualitative data were obtained from weekly reflective narratives. Perceived cognitive load decreased significantly following the six-week implementation. Participants were also more likely to use ChatGPT-generated activities directly than activities obtained from Internet sources. Qualitative findings indicated that ChatGPT supported idea generation, access to instructional content, lesson-plan development, and time efficiency, while participants also reported limitations such as insufficient or repetitive content, misalignment with learning objectives, and system-related problems. Overall, ChatGPT may support lesson planning when its outputs are critically evaluated and adapted to pedagogical needs.

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Bu Makaleye Atıf Yap

Üzümcü, Ö., Hakkoymaz, S., Sıvacı, S., Özcan, M. (2026). Öğretmen Eğitiminde ChatGPT: Öğretmen Adaylarının Bilişsel Yükünün Azaltılması. Kuramsal Eğitimbilim Dergisi, Cilt: 19 Sayı: 4, 739–755. https://doi.org/10.30831/akukeg.1825933

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