AI Claims Need Better Evidence

Large surveys, state frameworks, and ambitious school models made strong claims this week. The strongest lesson was that adoption has moved faster than independent evidence about what students are learning.

What Happened This Week

On Thursday, July 10, the Illinois State Board of Education released the longest state AI-in-schools framework the country has yet produced.¹²

On Monday, July 13, Gerald K.³⁴

On Tuesday, July 14, Anthropic launched Claude for Teachers, a free version of its AI assistant for verified K-12 educators in the United States.⁵⁶

On Wednesday, July 15, Willamette Week reported that students in Portland, Oregon are asking their school district to fold artificial intelligence into its climate policy.⁷⁸

On Thursday, July 9, Alpha School premiered a short documentary called Teachers 2.0 and kept restating the claim that has followed the school into every headline about it.⁹¹⁰

Earlier this month, the Digital Education Council published its 2026 AI in Higher Education Global Survey, one of the largest datasets ever assembled on the subject.¹¹¹²

Last week, twenty-seven Idaho educators sat in a room in Boise and spent five days drafting the state's first K-12 AI standards.¹³¹⁴

What These Stories Have in Common

Education should not accept marketing claims simply because the technology is new. If a product says students learn faster or better, schools should be able to examine the method, the comparison group, and the results.

Koan starts from a simple premise. The final answer is no longer a reliable measure of learning. Schools need to understand how students reached that answer and whether the work made them more capable.

What Schools Can Do

Schools should require transparent pilots with clear baselines and independent evaluation. They should measure whether gains remain when students work without the tool and whether the benefits extend across different groups of students.

The future of education should be built on evidence that schools can inspect, not promises they are asked to trust.