Khan Academy is scaling its collaboration with the College Board to provide Colorado school districts with a unified, data-driven SAT preparation program. Traditionally, test preparation has been fragmented, relying on individual teachers or expensive after-school programs that often exacerbate equity gaps. By implementing a district-wide system, administrators gain centralized visibility into student readiness while ensuring every student accesses the same high-quality materials used on the actual exam.

At the heart of this initiative is Khanmigo, an application of Agentic AI designed to simulate a 1:1 human tutoring experience. The AI doesn't just provide answers; it uses scaffolding—a teaching method where the system provides temporary support like hints or simplified explanations—to help students build mastery independently. This allows for personalized learning at a scale previously impossible, as the AI can adapt to the specific skill gaps of thousands of students simultaneously both inside and outside the classroom.

Beyond student-facing tools, the program provides educators with professional development on how to integrate AI into their curriculum and navigate the digital SAT structure. District leaders also receive sophisticated analytics dashboards to monitor growth and identify specific areas for intervention early in the school year. This holistic approach aims to improve graduation rates and college readiness by making high-stakes test preparation a standard, accessible part of the public school experience.

Khan Academy is scaling its collaboration with the College Board to provide Colorado school districts with a unified, data-driven SAT preparation program. Traditionally, test preparation has been fragmented, relying on individual teachers or expensive after-school programs that often exacerbate equity gaps. By implementing a district-wide system, administrators gain centralized visibility into student readiness while ensuring every student accesses the same high-quality materials used on the actual exam.

At the heart of this initiative is Khanmigo, an application of Agentic AI designed to simulate a 1:1 human tutoring experience. The AI doesn't just provide answers; it uses scaffolding—a teaching method where the system provides temporary support like hints or simplified explanations—to help students build mastery independently. This allows for personalized learning at a scale previously impossible, as the AI can adapt to the specific skill gaps of thousands of students simultaneously both inside and outside the classroom.

Beyond student-facing tools, the program provides educators with professional development on how to integrate AI into their curriculum and navigate the digital SAT structure. District leaders also receive sophisticated analytics dashboards to monitor growth and identify specific areas for intervention early in the school year. This holistic approach aims to improve graduation rates and college readiness by making high-stakes test preparation a standard, accessible part of the public school experience.