AN IOT-BASED SMART STUDIO QUALITY INDEX (SSQI): A MULTI-DIMENSIONAL EVALUATION FRAMEWORK FOR SUSTAINABLE ARCHITECTURAL STUDIOS IN HOT-ARID CLIMATES
Architectural design studios represent cognitively demanding and behaviorally intensive learning environments, yet current evaluation models rarely address their complex indoor environmental needs, especially in hot-arid regions. This study addresses a critical global gap by proposing the “Smart Studio Quality Index” (SSQI), a novel, multi-dimensional evaluation framework that integrates real-time Internet of Things (IoT) sensor data, spatial functionality metrics, and user-centered behavioral analytics. Tested in Egyptian architectural studios through a combination of environmental monitoring, behavioral surveys (n=85), and statistical modeling (R² = 0.69), the SSQI revealed substantial deficits in thermal comfort, air quality, lighting, and acoustics, correlating strongly with reduced student satisfaction and cognitive focus. Scenario-based simulations showed that smart adaptive interventions could improve SSQI scores by up to 23%, while reducing CO₂concentrations and optimizing energy use. Beyond its local application, the SSQI offers a transferable and scalable model aligned with international standards (ASHRAE 55, ISO 3382-3, EN 12464-1) and supports sustainable development goals by promoting energy-efficient, cli-mate-resilient educational spaces that enhance learning equity in the Global South. The study contributes a replicable methodology that bridges architectural education, environ-mental performance, and smart building innovation, supporting global goals for sustain-able and student-centered learning spaces
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Architectural design studios represent cognitively demanding and behaviorally intensive learning environments, yet current evaluation models rarely address their complex indoor environmental needs…
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