AI is advancing rapidly, but not all applications lead to better learning. There’s a big difference between flashy, generative AI and the kind of AI that fuels real learning, especially in math. In this episode, Dan Tracy of MIND Education unpacks how thoughtfully designed, neuroscience-based programs can use AI to enhance, not replace, great instruction.

Learn why effective AI in math education isn’t about automation, it’s about understanding how students learn. Learning becomes personal when students are actively thinking, visualizing, and problem-solving and that’s what great design, not automation, delivers. Listen in as Dan shares how MIND leverages AI to analyze patterns in student thinking and iteratively improve instruction, creating a natural environment for learning. Built on decades of neuroscience and real classroom data, MIND Education can uniquely speak to how thoughtful, neuroscience-informed, visually grounded design drives real outcomes in math.