Akademik Veri Yönetim Sistemi
9th International Conference of Contemporary Affairs in Architecture and Urbanism, Antalya, Türkiye, 7 - 08 Mayıs 2026, (Tam Metin Bildiri)
This study investigates the impact of Large Language Models LLMs on the functional diagram generation process of novice architecture students framed within Extended Cognition theory. Through a quasi experimental design involving 41 first year students the research compares topological networks generated via traditional sketching against those produced through Gen AI interaction for a weekend house project. Quantitative analyses of spatial nodes and edges reveal a significant cognitive expansion LLM assistance increased the number of spaces by 11.4 percent and connections by 17.9 percent. However findings indicate a qualitative shift towards instrumental dominance. Students made statistically insignificant curatorial reductions to the AI generated complex networks acting as passive editors rather than active co creators. Furthermore extended dialogue loops resulted in additive topological bloating rather than hierarchical refinement. The study concludes that while AI offers substantial capacity enhancement architectural pedagogy must cultivate spatial critical thinking to filter the hyper productive nature of AI.