Stanford University’s SCALE Initiative published “The Evidence Base on AI in K-12: A November 2026 Review” on November 10, 2026, reporting that the number of rigorous, causal studies on AI in K-12 education research grew from 20 papers in its March 2026 review to 52 papers, while concluding that AI’s effects on student learning remain inconsistent across the evidence base. The review is authored by Seth Walker, Lily Fesler, JP Martinez Claeys, Chris Agnew and Susanna Loeb.
On educator-facing AI tools, the review finds that “AI tools can save teachers time on tasks like lesson planning, but they can also have unintended effects on students, including undermining student motivation.”
