AI tutoring with Khanmigo in a two-year school experiment

A comprehensive two-year study evaluating the impact of Khanmigo, an AI-powered tutoring tool developed by Khan Academy, has been released. The research examines how integrating generative AI into classroom settings affects student learning outcomes and teacher workflows. By analyzing data from diverse school environments, the study provides empirical evidence on the efficacy of AI-driven personalized instruction. Key findings highlight both the potential for AI to bridge learning gaps and the challenges associated with implementation, such as teacher training and technical integration. The report serves as a critical resource for educators and policymakers considering the adoption of AI tools in K-12 education. As schools continue to navigate the rapid evolution of educational technology, this longitudinal experiment offers valuable insights into the practical application of large language models in fostering student engagement and academic progress in real-world classroom scenarios.
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