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Yayın A proposal for a computational design and ecology based approach to architectural design studio(Springer, 2022-03) Karadağ, Derya; Tüker, ÇetinUsing computational design methods, this study aims to analyze the effects of an integrated design process model on the ecological awareness of architectural students, and on their ability to incorporate ecological issues in their design work. To this end, two studies have been carried out. The first one involves a survey about how ecology-related and computational design courses complement the architectural design studio at different universities in Turkey. The second one, which is the main study of this paper, presents the results of an ecology-based computational design workshop. According to the results of the first study, computer-based design courses in Turkey usually lack the dimension of “computational thinking”, focusing only on computer-aided design tools. Moreover, we have also found out that ecology courses in Turkish architectural education are mostly elective, and hence, have only very indirect connection to the architectural design studio. In the second study, we have demonstrated how incorporating computational thinking into the design process increase students’ awareness of the ecological dimension and their ability to make this dimension an integral part of their projects. The paper concludes by elaborating on the importance of computational methods in architectural education.Yayın Human-AI collaboration in architectural design: a comparative analysis of conceptual and computational form generation(Ahmet Fidan, 2026-01-31) Süyük Makaklı, Elif; Sütçü, İrem; Köksoy, ZeynepArchitectural education aims to foster creative thinking and cultivate individual originality through design-based learning. In this context, the rapid integration of artificial intelligence (AI) into design disciplines necessitates an in-depth evaluation of its role in educational environments. The central aim of this study is to understand how AI interacts with conceptual design thinking and how it can influence or challenge students’ conceptual approaches to design. Developed as an experimental workshop for architecture students, the study was structured in three phases: first, students created 15x15x15 cm physical cube models; in the second phase, they developed written prompts describing their models and design concepts to generate AI-based visual outputs; and finally, they critically compared the AI-generated visuals with their original designs.The findings indicate that while AI could not replicate the depth of human creativity, it provided alternative perspectives that enriched students' design processes. The effectiveness of AI integration depended largely on the clarity and conceptual coherence of human-generated prompts. Moreover, the workshop highlighted the pedagogical value of physical model-making in design education, emphasizing embodied learning and spatial reasoning. Ultimately, this study advocates for a hybrid educational model in which AI operates not as a substitute, but as a reflective and dialogic partner in design education, enabling students to integrate intuitive and computational thinking within emerging technological contexts.
