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Dante D. Dixson; Scott J. Peters; Jonathan A. Plucker; Carolyn M. Callahan – Annenberg Institute for School Reform at Brown University, 2025
The current study leveraged comprehensive data from a large school district to better understand the degree to which disproportional representation in gifted education can be explained by mean assessment score differences across racial and socioeconomic groups. The findings indicate that after controlling for nonverbal ability, cognitive ability,…
Descriptors: Elementary Secondary Education, Gifted, Gifted Education, Academically Gifted
Scott J. Peters; Meredith Langi; Megan Kuhfeld; Karyn Lewis – Annenberg Institute for School Reform at Brown University, 2023
The COVID-19 pandemic resulted in substantial unfinished learning for U.S. students, but to differing degrees for various subgroups. For example, students of color, from low-income families, or who attended high-poverty schools experienced greater unfinished learning. In this study we examined the degree of unfinished learning for students who…
Descriptors: Achievement Tests, Achievement Gains, COVID-19, Pandemics
Angel H. Harris; Darryl V. Hill; Matthew A. Lenard – Annenberg Institute for School Reform at Brown University, 2022
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…
Descriptors: Elementary School Students, Talent Identification, Academically Gifted, Gifted Education
Scott J. Peters; James S. Carter III – Annenberg Institute for School Reform at Brown University, 2021
A wide research base has documented the unequal access to and enrollment in K-12 gifted and talented services and other forms of advanced learning opportunities. This study extends that knowledge base by integrating multiple population-level datasets to better understand correlates of access to and enrollment in gifted and talented services,…
Descriptors: Predictor Variables, Access to Education, Advanced Courses, Algebra
Francis A. Pearman II – Annenberg Institute for School Reform at Brown University, 2020
This study examines the relationship between county-level estimates of implicit racial bias and black-white test score gaps in U.S. schools. Data from over 1 million respondents from across the United States who completed an online version of the Race Implicit Association Test (IAT) were combined with data from the Stanford Education Data Archive…
Descriptors: Racial Differences, Tests, Scores, Grade 3