#384 Why Great Teachers May Have the Best AI Strategy

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The real AI literacy challenge isn’t learning the tool — it’s protecting human judgment while using it well. Dr. Darren sits down with Casey Cooney, California Teacher of the Year, to explore how AI in education can deepen learning, sharpen feedback, and keep curiosity, domain expertise, and empathy at the center of digital transformation. ## Key Takeaways - AI should **augment human thinking**, not replace it. The goal is better judgment, not faster shortcuts. - The pandemic showed the limits of putting learning entirely on screens; **human connection remains essential**. - In the classroom, AI can supercharge **formative assessment** by helping teachers spot misconceptions and adjust instruction in real time. - Students and workers need more than speed: they need **metacognition** (thinking about how you think) and **inquiry** (asking better questions). - Beautiful output is not the same as deep work — **domain expertise still matters** when using AI for writing, design, and research. - The future belongs to people who become **AI-augmented**: curious, adaptable, and confident enough to keep learning. ## Chapters - **00:00** AI, Human Judgment, and Why This Matters Now - **01:05** Casey Cooney’s Background Story - **05:40** Becoming a Teacher After Business and Cancer Survival - **09:15** What COVID and Remote Learning Taught Educators - **13:10** How AI Can Improve Formative Assessment - **17:20** Raising the Bar: Expect More From Students With AI - **21:10** AI Fakers vs. Real Domain Expertise - **25:05** Creativity, Writing, and Why Humans Still Matter - **29:00** Careers, Anxiety, and the Changing Job Market - **33:15** The Two Skills Students Need Most: Metacognition and Inquiry - **37:20** Leading With Empathy in the AI Era - **40:30** Casey’s AI Teaching App, Wit - **43:10** Closing Thoughts: AI Literacy and the Future of Learning