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While K–12 AI education has largely emphasized generative tools, edge AI offers students a tangible way to design solutions grounded in real-world, community contexts. This study examines how teenagers engaged in community-engaged engineering during a two-week summer camp at a creativity and invention museum. The camp was guided by the Community-Engaged Engineering Design (CEED) framework, developed by our team to integrate iterative engineering practices with local relevance. Participants used sensors and edge inference to identify meaningful problems and prototype responsive solutions. Qualitative findings show that facilitator support was critical in surfacing community needs, and sustained scaffolding helped students align technical decisions with those needs. The study highlights edge AI’s potential to foster socially responsive engineering practices in youth.
Andrea Ramirez-Salgado, University of Florida
Lauren Eutsler, University of North Texas
Anany Sharma, University of Florida
Woorin Hwang, University of Florida
Yessy Eka Ambarwati, University of Florida
Talar Terzian, University of Florida
Megan Barnes, University of North Texas
Nicole Dominguez, University of Florida
Dillon Donihue, University of Florida
Swarup Bhunia, University of Florida
Tamzidul Hoque, University of Kansas
Pasha Antonenko, University of Florida