Identifying and Nurturing Math Talent: Evidence from Tamil Nadu
How do we find talented but underserved students? How can we support their growth? How far can that growth go?
This paper presents evidence from a randomized controlled trial designed to test how to best identify and support gifted students from disadvantaged backgrounds. To do so, we offered access to an advanced online prealgebra course and an internet-enabled tablet to 7th-grade public-school students from Tamil Nadu, whom we identified as having high potential using several alternative strategies. Our primary finding is that we were able to successfully identify students who succeeded in challenging coursework originally designed as enrichment material for students with much stronger math preparation.
We randomly assigned identification methods, which allowed us to investigate their relative effectiveness. We find that the combination of existing administrative scores and engagement with an extract of the textbook distributed as a physical booklet best predicts engagement and success with the course material. We additionally cross-randomized treatments to evaluate program design (including group and individual tutoring, incentives for students, access to computer labs), and find that the simplest-to-scale version without tutoring led to the highest engagement.
My coauthors and I are running an RCT with 2,400 gifted 7th-grade students in Tamil Nadu and an online self-paced pre-algebra class from AoPS. We’re currently in the middle of Phase 2, and are excited to see the long-term effects. Presented at the NBER Economics of Talent Meeting (Fall 2025), NBER Economics of Education Meeting (Spring 2026).