Build It, Train It, Test It! Hands-On AI with Micro:bits

This hands-on workshop explores how Micro:bits and machine learning can help middle school students understand how AI systems are built, trained, and refined while solving real-world problems. Participants will experience classroom-ready activities where students collect sensor data, train simple machine learning models, and test AI-driven solutions to authentic challenges such as environmental monitoring, accessibility supports, or classroom systems. The session emphasizes experimentation, iteration, and critical thinking, helping students see AI as a human-designed tool shaped by data choices and ethical considerations. Participants will actively engage with the tools and leave with strategies to support meaningful, student-driven AI learning in middle school classrooms.