Using 30 months of panel data on 26,811 Chinese students in grades 7–12, we study how generative AI affects homework productivity and learning. The data combine monthly closed-book exams, high-school and college entrance exams, and homework scores and completion time across nine subjects. We exploit staggered AI adoption in a difference-in-differences design. AI adoption raises […]

DP21577 The Generative AI Learning Penalty: Evidence from Chinese Secondary Education
Kelvin Dafiaghor
