East vs West: AI Done Best

Is your school using AI like a microwave, prioritizing speed over skill? In this session, two Google Champions from opposite coasts, California and Maine, make the case for leveraging generative AI with conviction, focusing on the process of learning rather than just the final product. They share a unified roadmap for AI literacy that empowers both staff and students, moving beyond the black box to demystify how predictive models work and how they can be intentionally included in the K-12 classroom. You will learn to establish AI norms that distinguish Auto-Pilot misuse from Co-Pilot use, building a classroom culture rooted in integrity. Master the Prompt Refinement Cycle of Clarify, Verify and Modify so the first AI output is never the final one, and implement citAItions, a five-part student reflection framework that promotes transparency and ethical use. Leave with vetted tools and resources, including the AI E-Bike analogy, to help students use AI as a boost when the learning hill gets steep.