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Journals / Batı Anadolu Eğitim Bilimleri Dergisi / 2025 / Cilt: 16 Sayı: 3

Visual Arts Teacher Candidates’ AI-Supported Visual Arts Lesson Plan Practices and Views

Görsel Sanatlar Öğretmen Adaylarının Yapay Zeka Destekli Görsel Sanatlar Ders Planı Uygulamaları ve Görüşleri

Ebru Güler(ERZİNCAN BİNALİ YILDIRIM ÜNİVERSİTESİ)0000-0003-1149-6489
Pages
4392–4423
Publication Date
2025-12-27
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AI Summary & Key Takeaways

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

Within this framework, four themes were identified: “AI Tools and Application Experience,” “AI-Supported Lesson Plans and Practices,” “The Contribution of AI Tools to Art Education,” and “Implementation Process and Teacher Candidates’ Views.” The findings reveal that teacher candidates used a variety of AI tools in their lesson plans and practices, including Midjourney, Gencraft, Stability.AI, AR Drawing Sketch, Add Animation, Tensor.art, AR Real Animals, Adobe Firefly, and several AI-based mobile applications.

📌 3 Key Takeaways

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Objective & Hypothesis:This study aims to examine teacher candidates’ views on AI-supported art teaching practices and to analyze a sample of lesson plans related to these practices.
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Key Findings & Data:In this context, 21 pre-service visual arts teachers were included as participants.
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Conclusion & Impact:Within this framework, four themes were identified: “AI Tools and Application Experience,” “AI-Supported Lesson Plans and Practices,” “The Contribution of AI Tools to Art Education,” and “Implementation Process and Teacher Candidates’ Views.” The findings reveal that teacher candidates used a variety of AI tools in their lesson plans and practices, including Midjourney, Gencraft, Stability.AI, AR Drawing Sketch, Add Animation, Tensor.art, AR Real Animals, Adobe Firefly, and several AI-based mobile applications.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Yapay zeka · Sanat Eğitimi · Sanat Uygulamaları

Abstract

This study aims to examine teacher candidates’ views on AI-supported art teaching practices and to analyze a sample of lesson plans related to these practices. The research was designed as a case study. The participants were selected through criterion sampling, one of the purposive sampling methods. In this context, 21 pre-service visual arts teachers were included as participants. The data were collected through semi-structured interview forms, documents (lesson plans), AI-supported artistic products, and related outputs. The research data were analyzed using descriptive analysis. Within this framework, four themes were identified: “AI Tools and Application Experience,” “AI-Supported Lesson Plans and Practices,” “The Contribution of AI Tools to Art Education,” and “Implementation Process and Teacher Candidates’ Views.” The findings reveal that teacher candidates used a variety of AI tools in their lesson plans and practices, including Midjourney, Gencraft, Stability.AI, AR Drawing Sketch, Add Animation, Tensor.art, AR Real Animals, Adobe Firefly, and several AI-based mobile applications. The results indicate that teacher candidates gained various pedagogical benefits during the implementation of their lesson plans in classroom settings. Specifically, they employed AI tools to guide the learning process, structured activities to support permanent learning, and ensured a balanced integration of traditional methods with AI. AI-based lesson plans and practices not only enriched students’ learning experiences but also emerged as a significant instrument for enhancing teacher candidates’ pedagogical and technological competencies.

Özet

Bu araştırmada yapay zeka destekli sanat öğretimi uygulamalarına yönelik öğretmen adaylarının görüşlerini ve uygulamalara ilişkin ders planı örneklerini incelemek amaçlanmıştır. Araştırma durum çalışması ile desenlenmiştir. Araştırma katılımcılar amaçlı örnekleme yöntemlerinden ölçüt örnekleme göre seçilmiştir. Bu çerçevede, 21 görsel sanatlar öğretmen adayı katılımcı olarak seçilmiştir. Araştırmada verileri yarı-yapılandırılmış görüşme formu, dokümanlar (ders planları),yapay zeka destekli sanatsal ürünler ile toplanmıştır. Araştırma verileri betimsel analiz ile çözümlenmiştir. Bu bağlamda araştırmada “Yapay Zeka Araçları ve Uygulama Deneyimi, Yapay Zeka Destekli Ders Planları ve Uygulamaları, Yapay Zeka Araçlarının Sanat Eğitimine Katkısı, Uygulama Süreci ve Öğretmen Adayı Görüşleri” olmak üzere dört temaya ulaşılmıştır. Öğretmen adaylarının ders planlarında ve uygulamalarında Midjourney, Gencraft, Stability.AI, AR Drawing Sketch, Add Animation, Tensor.art, AR Real Animals, Adobe Firefly ve AI tabanlı mobil uygulamaları ve çeşitli yapay zeka araçlarını kullandıklarını göstermektedir. Öğretmen adaylarının ders planlarını sınıfta uygulama sürecinde çeşitli pedagojik kazanımlar elde ettiklerini göstermektedir. Öğretmen adaylarının süreçlerine bakıldığında, yapay zeka araçlarını yönlendirme amacıyla kullanmaları, kalıcı öğrenmeyi destekleyecek şekilde etkinlikleri yapılandırmaları ve geleneksel yöntemlerle yapay zekanın dengeli kullanımını sağlamaları öne çıkmıştır. Yapay zeka temelli ders planları ve uygulamaları hem öğrencilerin öğrenme deneyimlerini zenginleştirmiş hem de öğretmen adaylarının pedagojik ve teknolojik yeterliklerini geliştirmekte önemli bir araç olarak öne çıkmıştır.

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Cite This Article

Güler, E. (2025). Visual Arts Teacher Candidates’ AI-Supported Visual Arts Lesson Plan Practices and Views. Batı Anadolu Eğitim Bilimleri Dergisi, Cilt: 16 Sayı: 3, 4392–4423. https://doi.org/10.51460/baebd.1785600

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