Methodology, measurement and data

Predictive analytics are increasingly pervasive in higher education. However, algorithmic bias has the potential to reinforce racial inequities in postsecondary success. We provide a comprehensive and translational investigation of algorithmic bias in two separate prediction models -- one… more →

We study the returns to experience in teaching, estimated using supervisor ratings from classroom observations. We describe the assumptions required to interpret changes in observation ratings over time as the causal effect of experience on performance. We compare two difference-in-differences… more →

This paper estimates the heterogeneous labor market effects of enrolling in higher education short-cycle (SC) programs. Expanding access to these programs might affect the behavior of some students (compliers) in two margins: the expansion margin (students who would not have enrolled in higher… more →

This paper estimates a dynamic model of college enrollment, progression, and graduation. A central feature of the model is student effort, which has a direct effect on class completion and an indirect effect mitigating risks on class completion and college persistence. The estimated model… more →

Short-cycle higher education programs (SCPs) can play a central role in skill development and higher education expansion, yet their quality varies greatly within and among countries. In this paper we explore the relationship between programs’ practices and inputs (quality determinants) and… more →

Short-cycle higher education programs (SCPs), lasting two or three years, capture about a quarter of higher education enrollment in the world and can play a key role enhancing workforce skills. In this paper, we estimate the program-level contribution of SCPs to student academic and labor market… more →

The impact of school resources on student outcomes was first raised in the 1960s and has been controversial since then. This issue enters into the decision making on school finance in both legislatures and the courts. The historical research found little consistent or systematic relationship of… more →

Prediction algorithms are used across public policy domains to aid in the identification of at-risk individuals and guide service provision or resource allocation. While growing research has investigated concerns of algorithmic bias, much less research has compared algorithmically-driven… more →

This paper provides one of the first natural experimental evidence on the consequences of a transition from college-major (early specialization) to college-then-major (late specialization) choice mechanism. Specifically, we study a recent reform in China that allows college applicants to apply… more →

One of the most important mechanism design policies in college admissions is to let students choose a college major sequentially (college-then-major choice) or jointly (college-major choice). In the context of the Chinese meta-major reforms that transition from college-major choice to college-… more →

The recent spike in book challenges has put school libraries at the center of heated political debates. I investigate the relationship between local politics and school library collections using data on books with controversial content in 6,631 public school libraries. Libraries in conservative… more →

We develop a unifying conceptual framework for understanding and predicting teacher shortages at the state, region, district, and school levels. We then generate and test hypotheses about geographic and subject variation in teacher shortages using data on unfilled teaching positions in Tennessee… more →

Classroom discourse is a core medium of instruction --- analyzing it can provide a window into teaching and learning as well as driving the development of new tools for improving instruction. We introduce the largest dataset of mathematics classroom transcripts available to researchers, and… more →

This simulation study examines the characteristics of the Explanatory Item Response Model (EIRM) when estimating treatment effects when compared to classical test theory (CTT) sum and mean scores and item response theory (IRT)-based theta scores. Results show that the EIRM and IRT theta scores… more →

Districts nationwide have increased the frequency of teacher evaluations. Yet, we know little about the role of evaluator feedback for teacher improvement. Using unique classroom observation-level data, we use evaluator ratings and teacher self-assessments of teacher performance to rigorously… more →

Community schools offer supports such as health and social services, extended school days, and family education, to improve the performance of students whose learning may be disrupted by challenges related to poverty. In 2015, the New York City Community Schools Initiative was implemented in… more →

Increasing numbers of students require internet access to pursue their undergraduate degrees, yet broadband access remains inequitable across student populations. Furthermore, surveys that currently show differences in access by student demographics or location typically do so at high levels of… more →

Teachers affect a wide range of students’ educational and social outcomes, but how they contribute to students’ involvement in school discipline is less understood. We estimate the impact of teacher demographics and other observed qualifications on students’ likelihood of receiving a… more →

Noncognitive constructs such as self-e cacy, social awareness, and academic engagement are widely acknowledged as critical components of human capital, but systematic data collection on such skills in school systems is complicated by conceptual ambiguities, measurement challenges and resource… more →

Colleges have increasingly turned to data science applications to improve student outcomes. One prominent application is to predict students’ risk of failing a course. In this paper, we investigate whether incorporating data from learning management systems (LMS)--which captures detailed… more →