In this episode of Edtech Conversations, Lucas and Luna examine the rise and fall of Knewton, the adaptive learning platform that raised over $180 million from investors including Founders Fund and Pearson. They unpack why Knewton's approach — using big data to tailor lessons in real-time — ultimately flopped, despite being heralded as the future of education. Lucas explains the key missteps: an overreliance on a single 'knowledge graph' algorithm, a business model that sold to textbook publishers rather than directly to schools, and a fundamental misunderstanding of how teachers actually use technology in the classroom. Luna pushes back with data showing that some teachers did see student gains, but the gains weren't large enough to justify the cost or complexity. They contrast Knewton's approach with ALEKS, a more focused adaptive platform that McGraw-Hill acquired and scaled profitably. The episode ends with a forward-looking question about whether AI tutoring tools like Khan Academy's Khanmigo are repeating the same mistakes. Perfect for listeners interested in edtech venture capital, product-market fit in education, and the gap between Silicon Valley promises and classroom reality. #Edtech #Knewton #AdaptiveLearning #PersonalizedLearning #EdtechVentureCapital #EducationTechnology #KnowledgeGraph #JoseFerreira #ALEKS #McGrawHill #Pearson #FoundersFund #Khanmigo #BusinessOfEducation #EdtechFailures #FexingoBusiness #BusinessPodcast #EdtechConversations Keep every episode free: buymeacoffee.com/fexingo
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