In this episode, Lucas and Luna examine how Carnegie Learning created an AI-powered math tutoring platform that demonstrably raises student achievement. They break down the company's 25-year journey from cognitive science research to a live, adaptive system that now serves over 2 million students. Using specific data from a 2024-2025 randomized controlled trial in Texas—where students using the platform showed 1.8x the expected annual growth—they explore what makes an AI tutor effective: continuous assessment, real-time feedback loops, and teacher dashboards that surface actionable insights. They also discuss the business model shift from textbook sales to per-studio subscriptions, and the challenge of scaling personalized instruction across under-resourced districts. This episode offers a concrete look at how edtech companies are moving beyond content delivery to true adaptive learning.

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