Yapay Zeka Destekli Ders Araştırması: Öğretmenlerin Mesleki Gelişiminin Dönüşümü

Abstract

Bu çalışma, Yapay Zeka'nın (YZ) ders araştırması (LS) modeline öğretmen mesleki gelişimine yönelik yenilikçi bir yaklaşım olarak entegrasyonunu incelemektedir. İşbirlikçi bir öğrenme modeli olan ders araştırması, öğretmenlerin öğretim uygulamalarını sistematik olarak planlamalarına, uygulamalarına, gözlemlemelerine ve iyileştirmelerine olanak tanır. Yapay zekadaki gelişmeler, veri odaklı içgörüler, kişiselleştirilmiş geri bildirim ve uyarlanabilir öğrenme stratejileri sağlayarak yeni fırsatlar sunar. Sistematik bir literatür incelemesi yoluyla, bu çalışma YZ destekli ders araştırmasının öğretmen eğitimini ve öğrenci öğrenimini nasıl geliştirdiğini araştırmaktadır. Temel temalar arasında YZ'nin gerçek zamanlı geri bildirimdeki rolü, veri odaklı ders planlaması ve geliştirilmiş öğretmen işbirliği yer almaktadır. Dijital okuryazarlık, etik kaygılar ve yapılandırılmış uygulamaya duyulan ihtiyaç gibi zorluklar da tartışılmaktadır. Bulgular, YZ destekli ders araştırmasının karar almayı optimize ettiğini, yansıtıcı öğretimi teşvik ettiğini ve öğrenci öğrenimini kişiselleştirdiğini göstermektedir. Ancak, etkili uygulama eğitim, kurumsal destek ve mevcut yapılara entegrasyon gerektirir. YZ destekli ders araştırması, modelin işbirlikçi özünü korurken mesleki gelişim için umut vaat etmektedir.

Keywords

• yapay zeka
• eğitimde YZ
• işbirlikli öğrenme
• ders araştırması
• öğretmenlerin mesleki gelişimi.

AI-Enhanced Lesson Study: Transforming Teacher Professional Development

Abstract

This study examines the integration of Artificial Intelligence (AI) into the Lesson Study (LS) model as an innovative approach to teacher professional development. LS, a collaborative learning model, allows teachers to systematically plan, implement, observe, and refine their teaching practices. Advances in AI offer new opportunities by providing data-driven insights, personalized feedback, and adaptive learning strategies. Through a systematic literature review, this study explores how AI-supported LS enhances teacher education and student learning. Key themes include AI’s role in real-time feedback, data-driven lesson planning, and improved teacher collaboration. Challenges such as digital literacy, ethical concerns, and the need for structured implementation are also discussed. Findings indicate that AI-supported LS optimizes decision-making, fosters reflective teaching, and personalizes student learning. However, effective implementation requires training, institutional support, and integration into existing structures. AI-enhanced LS holds promise for professional development while preserving the model’s collaborative essence..

Keywords

• AI
• AI in education
• collaborative learning
• LS
• teacher professional development

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