The Render Trap: Pedagogical Challenges and Tectonic Integrity in Architectural Education via a Multi-Scalar Technical Audit
DOI:
https://doi.org/10.5281/zenodo.21150722Anahtar Kelimeler:
Tektonik Bütünlük Ölçeği (TIS), Görselleştirme Tuzağı, Üretken Yapay Zeka (GenAI), Görsel Okuryazarlık, Tasarım Stüdyosu Pedagojisi, Yapım MantığıÖzet
Digital modeling and visualization have transformed architectural education, positioning representation as a dominant force that is often inseparable from the design process. However, the rise of high-end rendering and Generative AI (GenAI) has created a critical tension between visual persuasion and tectonic reality, leading to a phenomenon defined here as the "Render Trap." Addressing the absence of standardized metrics to quantify this disconnect, this study introduces the Tectonic Integrity Scale (TIS), a novel evaluative instrument developed to measure the alignment between architectural imagery and constructive logic. The research utilizes a multi-scalar Technical Audit methodology to evaluate 37 senior-level projects from a high-fidelity design laboratory, verifying structural alignment across three distinct tiers from 1:500 urban massing to 1:20 construction details. To maximize baseline internal consistency and eliminate traditional jury noise during this initial validation phase, the audit was executed through a highly calibrated, single-auditor protocol. The findings reveal a significant pedagogical crisis: while only 24% of projects achieved the "Full Tectonic Maturity" (TIS Level 4), a substantial 76% displayed varying degrees of disjunction between visual representation and tectonic coordination. Specifically, 41% of students utilized a "Visual Shield" to mask structural inconsistencies within the "Illusion Trap," and 35% reached "Representational Collapse" (TIS Level 1), exposing an "Ontological Void" devoid of physical assembly logic. Concluding this initial validation, the study outlines a methodological blueprint to upscale this baseline into a comprehensive longitudinal matrix, deploying a multi-evaluator, "Independent Evaluator Framework" quantified via Fleiss' Kappa and Intraclass Correlation Coefficient (ICC) metrics. Ultimately, this initial diagnostic application of the TIS framework provides a robust pedagogical bridge to ensure that architectural maturity in the GenAI era is measured by the rigorous verification of tectonic integrity rather than the seductive power of the digital illusion.
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