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Friday November 6, 2026 TBA
Machine learning can feel abstract, until students collect the data themselves. In this hands-on session, we'll start with an anchoring phenomenon before you experience the full micro:bit CreateAI workflow: collecting your own movement data, then creating, testing, and improving a machine learning model that triggers real actions in code on the micro:bit. You'll explore how data quality and bias shape AI outcomes, and leave ready to bring authentic AI engineering and standards-aligned data literacy into your own classroom. No coding or AI experience needed!
Presenters
avatar for Corey Rogers

Corey Rogers

Education Producer, Micro:bit Educational Foundation
Corey Rogers is an Education Producer with the Micro:bit Educational Foundation. With over 22 years of experience in education, She has worked as a middle school STEM and Computer Science teacher, Media Specialist, and Computer Science, Digital Learning, and School Improvement Consultant... Read More →
Friday November 6, 2026 TBA

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