How Can We Rethink Math Education When Computers and AI Do the Calculations? | Ted Dintersmith
From Getting Smart Podcast by Getting Smart
April 8, 2026 · 47 min
About this episode
Ted Dintersmith discusses the need to rethink math education in the context of AI and its implications for future-ready learners.
In this episode of the Getting Smart Podcast, Nate McClennen sits down with author and education advocate Ted Dintersmith to rethink what math should look like in a changing world—especially as AI makes rote procedures less relevant. Together they unpack the limits of test-driven instruction, the consequences of low math and data literacy for civic life, and why classrooms should prioritize estimation, statistics, probability, modeling, and real-world problem solving that builds confidence and curiosity. If we want future-ready learners, math has to move from gatekeeping to empowerment. Outline (00:00) Introduction & Math Education Background (05:52) Rote Skills vs. Relevant Math (11:21) Standardized Testing & NAEP Scores (17:10) Math Illiteracy & Real-World Consequences (22:57) Calculus vs. Statistics Debate (29:41) AI, the Future of Math Education & Takeaways Links Read the full blog here Watch the full video here LinkedIn Ted Dintersmith Website
People in this episode
Host: Nate McClennen
Guest: Ted Dintersmith
Topics covered
- math education
- AI in education
- data literacy
- real-world problem solving
Keywords
- estimation
- statistics
- probability
- modeling
Mentioned in this episode
Books & works: Getting Smart Podcast
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