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Yapay Zeka Çağında Endüstriyel Tasarım: Uygulamalar Ve Eğitim Üzerine Etkileri

Year 2025, Volume: 20 Issue: MX Yaratıcı Endüstriler Çalıştayı 2024: Yapay Zeka Çağında Yaratıcı Endüstriler Özel Sayısı, 154 - 188, 24.04.2025

Enver Tatlisu , Hatice Hümanur Bağlı , Ahmet Zeki Turan , Ahmet Hamurcu , Aybike Eser , Serdal Korkut Avcı

Abstract

Bu makale, yapay zekanın (YZ) endüstriyel tasarım süreçlerine entegrasyonunu ve bunun tasarım eğitimi üzerindeki potansiyel etkilerini incelemektedir. Tarihsel olarak tasarım süreçleri, teknolojik ve toplumsal ihtiyaçlar doğrultusunda sürekli olarak evrim geçirmiştir. Günümüzde ise YZ, büyük veri setlerini analiz etme, öğrenme ve karar verme yetenekleri sayesinde tasarım süreçlerinde devrim niteliğinde değişiklikler yapma potansiyeline sahiptir. YZ, tasarım süreçlerine dahil olduğunda tekrarlayan görevlerin otomatikleştirilmesi, kullanıcı davranışlarının daha iyi anlaşılması ve kişiselleştirilmiş tasarım çözümlerinin sunulması gibi birçok avantaj sağlar. Ancak, bu birliktelik tasarımın doğası için riskler barındırdığı için geleceğin tasarımcılarının bu değişime hazırlanmaları gerekmektedir. Öğrencilerin YZ araçlarını etkili bir şekilde kullanabilmeleri için bilinçli ve eleştirel bir yaklaşım geliştirilerek tasarım eğitimi müfredatında gerekli güncellemelerin yapılması kaçınılmaz görünmektedir. YZ'nın bilinçli ve eleştirel kullanımı teşvik edilmedir. Analitik düşünme becerilerinin geliştirilmesi, disiplinler arası öğrenmenin desteklenmesi, insan odaklı yaklaşımların korunması ve etik yaklaşımların değerlendirilmesi gibi temalar bu yeni tasarım paradigmasında giderek önem kazanmaktadır. Öğrencilerin yaşam boyu öğrenme becerilerini kazanmaları ve YZ okuryazarlığı konusunda bilinçlenmeleri bu birlikteliğin sağlıklı bir zeminde inşa edilmesi için son derece önemlidir. Sonuç olarak, YZ'nın tasarım süreçlerine entegrasyonu, geleceğin tasarımcılarının hem yaratıcı hem de teknolojik becerilerini geliştirmeleri açısından büyük fırsatlar sunmaktadır. Bu fırsatları en iyi şekilde değerlendirebilmek için tasarım eğitimi alanında kapsamlı ve bilinçli adımlar atılması gerekmektedir.

Keywords

endüstriyel tasarım yapay zeka tasarım eğitimi tasarım süreçleri

Thanks

Bu çalışmanın bir kısmı MX Yaratıcı Endüstriler Çalıştayı 2024: Yapay Zeka Çağında Yaratıcı Endüstriler başlıklı çalıştayda sunulmuştur.

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INDUSTRIAL DESIGN IN THE ERA OF ARTIFICIAL INTELLIGENCE: PRACTICES AND EDUCATIONAL IMPLICATIONS

Year 2025, Volume: 20 Issue: MX Yaratıcı Endüstriler Çalıştayı 2024: Yapay Zeka Çağında Yaratıcı Endüstriler Özel Sayısı, 154 - 188, 24.04.2025

Enver Tatlisu , Hatice Hümanur Bağlı , Ahmet Zeki Turan , Ahmet Hamurcu , Aybike Eser , Serdal Korkut Avcı

Abstract

This paper explores the integration of artificial intelligence (AI) into industrial design processes and its potential impact on design education. Historically, design processes have continuously evolved in line with technological and societal needs. Today, AI has the potential to revolutionize design processes through its ability to analyze large data sets, learn and make decisions. When AI is incorporated into design processes, it provides many advantages such as automating repetitive tasks, better understanding user behavior, and providing personalized design solutions. However, this integration carries risks for the nature of design and future designers need to prepared for this change. For students to use AI tools effectively, it seems inevitable to make necessary updates in the design education curriculum by developing a conscious and critical approach. Conscious and critical use of AI should be encouraged. Themes such as developing analytical thinking skills, supporting interdisciplinary learning, protecting human-centered approaches and evaluating ethical approaches are becoming increasingly important in this new design paradigm. It is of utmost importance for students to acquire lifelong learning skills and become aware of AI literacy in order to build this relationship on a healthy ground. In conclusion, the integration of AI into design processes offers great opportunities for future designers to develop both their creative and technological skills. In order to make the most of these opportunities, comprehensive and conscious steps should be taken in the field of design education.

Keywords

industrial design design education design process artificial intelligence

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  • Csikszentmihalyi, M., & Halton, E. (1981). The meaning of things: Domestic symbols and the self. Cambridge university press.
  • Czarniawska, B. (2006). A theory of organizing. Edward Elgar Publishing.
  • Daugherty, P. R., & Wilson, H. J. (2018). Human + machine: Reimagining work in the age of AI. Harvard Business Review Press.
  • Deci, E. L., & Ryan, R. M. (2000). The "what" and "why" of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227-268.
  • Dell’Era, C., Magistretti, S., & Verganti, R. (2020). Design-driven innovation: From strategy to practice. Springer.
  • Dering, M. L., Tucker, C. S., & Kumara, S., (2017). “An Unsupervised Machine Learning Approach to Assessing Designer Performance During Physical Prototyping,” ASME J. Comput. Inf. Sci. Eng., 18(1), p. 011002.
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There are 100 citations in total.

Details

Primary Language Turkish
Subjects Industrial Product Design
Journal Section Makale Başvuru
Authors

Enver Tatlisu 0000-0002-9757-5948

Hatice Hümanur Bağlı 0000-0003-0224-0860

Ahmet Zeki Turan 0000-0002-3729-145X

Ahmet Hamurcu 0000-0003-4083-8214

Aybike Eser 0000-0002-3044-1830

Serdal Korkut Avcı

Early Pub Date April 24, 2025
Publication Date April 24, 2025
Submission Date June 12, 2024
Acceptance Date October 1, 2024
Published in Issue Year 2025 Volume: 20 Issue: MX Yaratıcı Endüstriler Çalıştayı 2024: Yapay Zeka Çağında Yaratıcı Endüstriler Özel Sayısı

Cite

APA Tatlisu, E., Bağlı, H. H., Turan, A. Z., Hamurcu, A., et al. (2025). Yapay Zeka Çağında Endüstriyel Tasarım: Uygulamalar Ve Eğitim Üzerine Etkileri. Öneri Dergisi, 20(MX Yaratıcı Endüstriler Çalıştayı 2024: Yapay Zeka Çağında Yaratıcı Endüstriler Özel Sayısı), 154-188.

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Öneri

Marmara UniversityInstitute of Social Sciences

Göztepe Kampüsü Enstitüler Binası Kat:5 34722  Kadıköy/İstanbul

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