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This project addresses the urgent need for inclusive and scalable robotics training in architecture, engineering, and construction (AEC) through the integration of artificial intelligence (AI) and extended reality (XR) technologies. In collaboration with three Minority Serving Institutions (Florida International University, Arizona State University, and University of Hawai‘i at Mānoa), we developed and tested immersive, adaptive learning environments that personalize robotics education for diverse student populations. These efforts include a VR-based curriculum for industrial robotics, an AR curriculum for environmental sensing technologies, and an overarching Robotics Academy framework that promotes open knowledge exchange and workforce connectivity. By combining real-time performance analytics, natural language processing, and biometric inputs, our systems support individualized learning paths and help mitigate algorithmic bias. This research advances equitable access to robotics education and provides a replicable model for technology-driven workforce development in the AEC sector. Ongoing evaluation demonstrates improved learner engagement, accessibility, and cross-platform skill transferability. 

Peterson, E., Bogosian, B., Vassigh, S. (2025). T. In Proc. 113th ACSA Annual Meeting (pp. ##-##). In press.