Episode
AI Literacy Is Problem-Solving Literacy
- Published
- Jul 7, 2026
- Duration seconds
- 824
- Processing state
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- https://pod.shiftingschools.com/
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Summary
Tricia Friedman shares a real-life story about a flooded basement, an insurance claim, and what it revealed about AI literacy. After a major storm in Ottawa caused basement flooding, Tricia found herself facing the kind of problem many people recognize: too many damaged items, too many documents, too many decisions, and a process that can quickly become overwhelming. But this time, compared with a similar flood two years earlier, the experience felt different. Using AI tools, Tricia organized photos of damaged belongings, created an insurance-ready inventory, reviewed policy details, searched for replacement costs, identified relevant local supports, and built a project plan for the weeks ahead. She also used AI to think through communication with the insurance company, plan around disruption at home, and even create a small family recipe resource in the middle of the chaos. The point is not that AI made the flood easy. It did not. The point is that AI changed Tricia's capacity to respond. For educators, that distinction matters. Too often, school conversations about AI focus on shortcuts, cheating, prompt-writing, or which tool to use. This episode asks us to widen the frame. AI literacy is also about helping students become stronger problem solvers. That means knowing how to break down a complex situation, gather evidence, ask better questions, compare options, verify claims, communicate clearly, and decide what to do next. This kind of AI literacy belongs across the curriculum. A flood insurance claim can become a math problem, a media literacy problem, a civics problem, a consumer rights problem, a writing problem, a design problem, and a wellbeing problem. That is the real invitation here: bring AI bigger problems, not just cleaner prompts. In this episode: Tricia…