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  "text": "🚨🚨 Excited to share our first *positive* results on AI in education!\n\nMost AI tutor work focuses on making the chatbot better. We suggest another lever: deciding what students should practice next to improve learning.\n\nWe combine an LLM tutor with reinforcement learning to personalize problem sequencing using signals from student-chatbot interactions and solution attempts. \n\nWe tested this in a 5-month randomized field experiment in a Python course across 10 high schools in Taipei. All students had the same course material and the same AI tutor. The only difference was adaptive vs. fixed problem sequencing.\n\nResult: across 770 students, adaptive sequencing improved performance on an in-person final exam taken without AI assistance by 0.15 SD, with larger effects for beginners. Our evidence suggests the gains came from stronger engagement and more productive AI use.",
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