University of Maryland
The Returns to Private Tutoring Centers
Private tutoring centers have expanded rapidly across the United States, yet there is little evidence on whether these centers improve student outcomes. Using business records on tutoring establishments linked to administrative data covering over five million public school students in Texas,… more →
"How You Spend Your Money is Your Strategy": Education Spending and the Academic Achievement of Students with and without Disabilities in Virginia, 2018-2025
Virginia experienced a boost in federal and state education funding from 2020-2025 and launched the Virginia Literacy Act in 2023. These policy events prompted our study of the impact of education spending by school divisions on growth in academic pass rates in reading and mathematics for… more →
“Can we fight this fight?”: How Racial Politics Shape the Implementation of Culturally Responsive and Sustaining Education Teaching Standards
In this study, we investigate the role of teacher education (TE) programs in filtering the implementation of Culturally Responsive and Sustaining Education teaching guidelines in Pennsylvania. Drawing on a comparative case study of three TE programs across diverse institutional and political… more →
The Causal Effect of Student Absences Post Pandemic: Evidence from Three School Systems
Researchers, educators, and policymakers have long worried about the consequences of student absences for educational achievement and attainment—concerns that have grown with the significant rise in absenteeism during and following the Covid-19 pandemic. Using administrative data from Maryland,… more →
Embrace, Contradiction, or Prohibition: A National Scan of State Policies for Culturally Responsive and Sustaining Education
This qualitative document review is a national scan of state policies pertaining to culturally responsive and sustaining education (CRSE) as of September 2025. We present a typology of states—CRSE Forward, CRSE Conflicted, CRSE Limited, and CRSE Prohibitive—reflecting how CRSE is taken up in… more →
A Sandbox for Hard Choices: Using Simulation to Explore School Closure Scenarios and Their Consequences
School closures are often justified through seemingly neutral criteria such as enrollment or performance, but these metrics can unintentionally deepen educational disparities. This study uses a large urban district’s administrative data to simulate 5,040 closure scenarios, systematically varying… more →
The Language of Closure: Examining Racial Differences in How A Community Discusses School Closure Metrics
School closures in urban districts disproportionately affect marginalized communities, yet community input often goes unanalyzed or is reduced to simple frequency counts. This study applies BERTopic, a neural topic modeling approach, to analyze 4,159 suggestions from 2,006 community members… more →
Disparate Pathways: Understanding Racial Disparities in Teaching
Long standing evidence on the importance of a diverse teacher workforce prompts policymakers to scrutinize existing recruitment pathways.
Localized Teacher Recruitment through “Grow-Your-Own”: Impacts of the High School Teacher Academy of Maryland Program
Recruiting teachers via “grow-your-own” (GYO) programs is a popular, yet rarely evaluated, strategy for addressing local workforce shortages and ensuring that incoming teachers resemble, understand, and have strong connections to their communities. We provide novel evidence on the impacts… more →
The Effect of Centralized-Admission School Lotteries on Between-School Segregation: Evidence from 300 Largest School Districts in the United States
This study examines how centralized-admission school lotteries affect between-school racial and ethnic segregation in the largest U.S. public school districts. Using original nationwide panel data and a difference-in-differences design with staggered adoption, the research analyzes effects on… more →
A Framework for Building High-Quality Education Data for R&D in the Age of AI: The EDSI Dataset and Expert Insights
The Gates Foundation, the Walton Family Foundation, and the Chan Zuckerberg Initiative have launched a series of collaborative investments in building large-scale datasets that can support and accelerate data infrastructure for AI R&D efforts in education. In partnership with researchers… more →
The Effects of Daily Air Pollution on Students and Teachers
Recent empirical research shows that air pollution harms student test scores and attendance and increases office discipline referrals. However, the mechanism by which air pollution operates within schools to negatively affect student and teacher outcomes remains largely opaque. The existing… more →
Inequality Beyond Standardized Tests: Trends in Extracurricular Activity Reporting in College Applications Across Race and Class
For years, discussions on inequality in college admissions have addressed standardized tests, but less is known about inequality in non-standardized components of applications. We analyzed extracurricular activity descriptions in 6,054,104 applications submitted through the Common Application… more →
Does Charter School Autonomy Improve Matching of Teacher Attributes with Student Needs?
We examine the efficiency of traditional school districts versus charter schools in providing students with teachers who meet their demographic and education needs. Using panel data from the state of Michigan, we estimate the relationship between enrollment of Black, Hispanic, special education,… more →
The Effects of a Statewide Ban on School Suspensions
This research analyzes the implementation of a school suspension ban in Maryland to investigate whether a top-down state-initiated ban on suspensions in early primary grades can influence school behavior regarding school discipline. Beginning in the fall of 2017, the State of Maryland banned the… more →
A Quantitative Study of Mathematical Language in Upper Elementary Classrooms
This study provides the first large-scale quantitative exploration of mathematical language use in upper elementary U.S. classrooms. Our approach employs natural language processing techniques to describe variation in teachers’ and students’ use of mathematical language in 1,657 fourth and fifth… more →
Exploring the Relationship Between Test-Optional Admissions and Selectivity and Enrollment Outcomes During the Pandemic
Most selective colleges implemented test-optional admissions during the pandemic, making college entrance exam scores optional for applicants. We draw on descriptive, two-way fixed effects, and event study methods to examine variation in test-optional implementation during the pandemic and how… more →
Inequity and College Applications: Assessing Differences and Disparities in Letters of Recommendation from School Counselors with Natural Language Processing
Letters of recommendation from school counselors are required to apply to many selective colleges and universities. Still, relatively little is known about how this non-standardized component may affect equity in admissions. We use cutting-edge natural language processing techniques to… more →
The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education
Assessing instruction quality is a fundamental component of any improvement efforts in the education system. However, traditional manual assessments are expensive, subjective, and heavily dependent on observers’ expertise and idiosyncratic factors, preventing teachers from getting timely and… more →
Public Good Perceptions and Polarization: Evidence from Higher Education Appropriations
To understand the causes and consequences of polarized demand for government expenditure, we conduct three field experiments in the context of public higher education. The first two experiments study polarization in taxpayer demand. We provide information to shape beliefs about social returns on… more →