Promises, pitfalls, and tradeoffs in identifying gifted learners: Evidence from a curricular experiment
Abstract
Disparities in gifted representation across demographic subgroups represents a large and persistent challenge in U.S. public schools. In this paper, we measure the impacts of a school-wide curricular intervention designed to address such disparities. We implemented Nurturing for a Bright Tomorrow (NBT) as a cluster randomized trial across elementary schools with the low gifted identification rates in one of the nation?s largest school systems. NBT did not boost formal gifted identification or math achievement in the early elementary grades. It did increase reading achievement in select cohorts and broadly improved performance on a gifted identification measure that assesses nonverbal abilities distinct from those captured by more commonly used screeners. These impacts were driven by Hispanic and female students. Results suggest that policymakers consider a more diverse battery of qualifying exams to narrow disparity gaps in gifted representation and carefully weigh tradeoffs between universal interventions like NBT and more targeted approaches.
Matthew Lenard
PhD candidate in Education Policy & Program Evaluation
I am a Ph.D. candidate at the Harvard Graduate School of Education (HGSE) in its Education Policy and Program Evaluation concentration. My research centers on using causal inference research designs to measure the impacts of education programs and policies. I typically study topics at the intersection of education and economics, but also draw from the traditions of sociology and political science. My current projects focus on career and technical education, peer effects, school choice, and teacher labor markets.