Scientific literacy grows when students investigate what they can touch, measure, and improve. In this session, we pair AI with phenomenon-based, community-rooted inquiry so teens study local air, water, heat, biodiversity, or food systems—then connect patterns to national and global challenges. You’ll see how QFT launches student questions; how simple field data and public datasets flow into AI-supported analysis (ChatGPT + spreadsheets/Colab/Geo tools); and how evidence becomes clear explanations, models, and claims. We’ll share prompts, templates, and equity guardrails that reduce doom-scroll anxiety: by acting locally, students build agency, hope, and civic pathways (policy briefs, data letters, community talks). Strong math and ELA integrations throughout: data modeling, argument from evidence, and technical writing. Leave with a reproducible workflow you can run next week.
TAKEAWAYS:
Use AI to amplify community-based, phenomenon-driven science that builds scientific literacy and civic agency: launch QFT, gather local data, analyze with AI, connect to global issues, and communicate evidence—while reducing helplessness via actionable, math/ELA-integrated workflows.
SPEAKERS:
Kyle Boyd, Kevin OToole