A two-year school experiment testing Khan Academy's Khanmigo AI tutoring tool has wrapped up, offering one of the longest-running real-world assessments of generative AI in education. The study tracked student engagement and learning outcomes across multiple classrooms, providing early signals on how AI tutors might reshape instruction.

What You Need to Know

Khanmigo is an AI-powered tutoring assistant that provides step-by-step guidance rather than direct answers. The two-year experiment involved students from elementary through high school. Early results indicate improved problem-solving skills but also highlight concerns about over-reliance on the AI. The findings could influence how schools adopt AI tools moving forward.

The Two-Year Trial

Researchers worked with schools that integrated Khanmigo into their math and science curricula. Students used the AI tutoring system during class and for homework. The study measured not just test scores but also student confidence and independence in solving problems.

Key findings from the experiment include:

  • Improved conceptual understanding: Students using Khanmigo showed stronger grasp of underlying principles compared to those using traditional homework help.
  • Reduced teacher workload: Educators reported spending less time on repetitive questions and more on one-on-one instruction.
  • Variable engagement: Younger students stayed engaged longer, while older students sometimes tried to game the AI for direct answers.

Why This Matters

The implications extend beyond this single experiment. Public school districts across the United States are evaluating AI tutoring as a way to address learning gaps widened by the pandemic. If Khanmigo and similar tools can deliver consistent results at scale, they could lower the cost of personalized tutoring dramatically. However, the experiment also reveals a risk: students may become dependent on AI assistance and lose the ability to struggle productively through problems. The balance between support and independence will define whether AI tutoring becomes a classroom staple or a crutch.

Limitations and Next Steps

The experiment was limited to schools that already used Khan Academy's platform, raising questions about whether results apply to schools with less digital infrastructure. Researchers emphasize that AI tutoring should supplement rather than replace human teaching. A larger rollout across more diverse districts is planned for the coming year.

As the Year School Experiment concludes, educators are left with a clear trade-off: AI can personalize learning at scale, but only if students use it as a coach, not a shortcut.