Comparing conventional and AI-aided approaches to architectural visuals: a pedagogical evaluation

Basit Öğe Kaydı
dc.authorid0000-0002-2981-4804
dc.authorid0000-0002-8935-6403
dc.contributor.authorÜnal, Faruk Canen_US
dc.contributor.authorKaradağ, Deryaen_US
dc.contributor.editorPitts, Gregoryen_US
dc.contributor.editorSedrez, Mayconen_US
dc.date.accessioned2026-01-30T09:41:43Z
dc.date.available2026-01-30T09:41:43Z
dc.date.issued2025-10-20
dc.departmentIşık Üniversitesi, Sanat, Tasarım ve Mimarlık Fakültesi, İç Mimarlık ve Çevre Tasarımı Bölümüen_US
dc.departmentIşık University, Faculty of Art, Design And Architecture, Interior Architecture and Environmental Designen_US
dc.description.abstractThe rise of AI in architectural design is changing traditional workflows, especially in tasks related to visualization and the refinement of incomplete architectural visuals. This chapter presents a comparative study between conventional digital editing methods and AI-aided completion tools within the context of architectural education. The aim is to understand how the integration of AI tools influences the process and its outcomes, specifically in terms of efficiency, accuracy, and usability for the production of architectural visuals. The research involves two groups of students completing the same tasks under identical constraints and objectives. The first group manually edits and completes architectural visuals using conventional Photoshop editing tools. The second group utilizes Photoshop Generative Fill tool that automates parts of the image completion process using AI-driven algorithms that generate detailed and contextually refined outputs. A reflexive thematic analysis-driven evaluation framework is employed to assess each group’s results, emphasizing qualitative insights while incorporating quantitative user ratings for complementary analysis. This comparative study explores how these tools impact students’ learning, creative decision-making, and ability to tackle complex real-world design challenges. By examining the outcomes of this pedagogical experiment, the study contributes to ongoing discussions about the role of AI in architectural education and practice.en_US
dc.identifier.citationÜnal, F. C., & Karadağ, D. (2025). Comparing conventional and AI-aided approaches to architectural visuals: A pedagogical evaluation. In G. Pitts & M. Sedrez (Eds.), Artificial intelligence-aided design for sustainability (pp. 55–73). Springer. https://doi.org/10.1007/978-981-95-1349-9_4en_US
dc.identifier.endpage73
dc.identifier.isbn9789819513499
dc.identifier.startpage55
dc.identifier.urihttps://hdl.handle.net/11729/6966
dc.identifier.urihttps://doi.org/10.1007/978-981-95-1349-9_4
dc.institutionauthorKaradağ, Deryaen_US
dc.institutionauthorid0000-0002-8935-6403
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherSpringeren_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.sourceArtificial Intelligence-Aided Design for Sustainabilityen_US
dc.subjectArchitectural visualizationen_US
dc.subjectArchitectural educationen_US
dc.subjectDigital visualizationen_US
dc.subjectManual editingen_US
dc.subjectGenerative AIen_US
dc.titleComparing conventional and AI-aided approaches to architectural visuals: a pedagogical evaluationen_US
dc.typeBook Chapteren_US
dspace.entity.typePublicationen_US

Dosyalar

Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.17 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Kitap / Kitap Bölümü Koleksiyonu | İç Mimarlık Bölümü