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Yapay Zeka Teknolojilerinin Yaratıcılık Üzerindeki Etkisi: Yapay Zekayı Benimseme Niyeti, Yapay Zeka Öz Yeterliliği, Algılanan Kalite ve Performans Beklentisi Bağlamında Bir İnceleme.

The Impact of Artificial Intelligence Technologies on Creativity: An Examination in the Context of Intention to Adopt AI, AI Self-Efficacy, Perceived Quality, and Performance Expectation.

Engincan Yıldız(İSTANBUL GELİŞİM ÜNİVERSİTESİ)0000-0003-2549-3473
Sayfa
1541–1566
Yayın Tarihi
2026-10-01
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The results offer significant theoretical and practical contributions to both educational policies and AI-assisted learning designs.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Generative artificial intelligence (GAI) has impacted knowledge generation, problem-solving, and content development processes in numerous fields, from education to media and creative industries.
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Temel Bulgular & Veri:These impacts raise the question of how AI tools influence the creative performance of university students in particular.
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Sonuç & Katkı:The results offer significant theoretical and practical contributions to both educational policies and AI-assisted learning designs.
🔬Tür:Uygulamalı Anket & Alan Araştırması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Yapay Zekâ · Yaratıcılık · Teknoloji Kabulü

Özet

Generative artificial intelligence (GAI) has impacted knowledge generation, problem-solving, and content development processes in numerous fields, from education to media and creative industries. These impacts raise the question of how AI tools influence the creative performance of university students in particular. This study aims to examine the effects of perceived quality, AI self-efficacy, and perceived usefulness on willingness to use AI and creativity, and to test the mediating role of AI adoption intention in these relationships. The research involved a survey of university students over 18 years of age studying communication in Turkey. 385 valid data points were obtained using simple random sampling and analyzed. After completing reliability and validity analyses of the measurement tools, structural equation modeling was used to test the relationships between variables. The findings show that perceived quality, self-efficacy, and perceived usefulness have positive effects on creativity; furthermore, AI adoption intention plays a partial mediating role in these relationships. In conclusion, the study showed that students' perception of artificial intelligence as a reliable, useful, and manageable tool supports their integration of this technology into their creative processes and leads to higher creative performance. The results offer significant theoretical and practical contributions to both educational policies and AI-assisted learning designs.

Abstract

Generative artificial intelligence (GAI) has impacted knowledge generation, problem-solving, and content development processes in numerous fields, from education to media and creative industries. These impacts raise the question of how AI tools influence the creative performance of university students in particular. This study aims to examine the effects of perceived quality, AI self-efficacy, and perceived usefulness on willingness to use AI and creativity, and to test the mediating role of AI adoption intention in these relationships. The research involved a survey of university students over 18 years of age studying communication in Turkey. 385 valid data points were obtained using simple random sampling and analyzed. After completing reliability and validity analyses of the measurement tools, structural equation modeling was used to test the relationships between variables. The findings show that perceived quality, self-efficacy, and perceived usefulness have positive effects on creativity; furthermore, AI adoption intention plays a partial mediating role in these relationships. In conclusion, the study showed that students' perception of artificial intelligence as a reliable, useful, and manageable tool supports their integration of this technology into their creative processes and leads to higher creative performance. The results offer significant theoretical and practical contributions to both educational policies and AI-assisted learning designs.

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Bu Makaleye Atıf Yap

Yıldız, E. (2026). Yapay Zeka Teknolojilerinin Yaratıcılık Üzerindeki Etkisi: Yapay Zekayı Benimseme Niyeti, Yapay Zeka Öz Yeterliliği, Algılanan Kalite ve Performans Beklentisi Bağlamında Bir İnceleme.. Gümüşhane Üniversitesi İletişim Fakültesi Elektronik Dergisi, Cilt: 14 Sayı: 2, 1541–1566. https://doi.org/10.19145/e-gifder.1857632

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