Search EdWorkingPapers
Search EdWorkingPapers by author, title, or keywords.
Search
Race, ethnicity and culture
Von Hippel & Cañedo (2021) reported that US kindergarten teachers placed girls, Asian-Americans, and children from families of high socioeconomic status (SES) into higher ability groups than their test scores alone would warrant. The results fit the view that teachers were biased.
This comment asks whether parents’ lobbying for higher placement might explain these results. The answer, for the most part, is no. Measures of parent-teacher contact explained little variation in children’s ability group placement, and did not account for the higher placement of girls, Asian-Americans, or high-SES children. In fact, Asian-American parents had less teacher contact than did white children. It appears that the biases observed by von Hippel & Cañedo resided primarily in teachers, not in parents.
We also ask whether teachers who used more objective assessment techniques were less biased in placing children into higher and lower ability groups. The answer, again, was no. Unfortunately, biases persisted in the face of objective information about students’ skill. Fortunately, the biases were not terribly large.
Existing research indicates that racially minoritized students with similar academic preparation are less likely than their represented peers to persist in STEM, raising the question of factors that may contribute to racial disparities in STEM participation beyond academic preparation. We extend the current literature by first examining race-based differences in what students expect to receive and their actual grades in introductory STEM college courses, a phenomenon termed as overestimation. Then, we assess whether overestimation differentially influences STEM interest and persistence in college. Findings indicate that first-year STEM students tend to overestimate their performance in general, and the extent of overestimation is more pronounced among racially minoritized students. Subsequent analyses indicate that students who overestimate are more likely to switch out of STEM, net academic preparation. Results from regression models suggest that race-based differences in overestimation can be explained by pre-college academic and contextual factors, most notably the high school a student attended.
How do adult "culture wars" in education affect student learning in the classroom? I explore this question by combining information on nearly 500 school district political controversies with data on state test scores. Leveraging variation in the location and timing of these events as the basis for a difference-in-differences design, I show that student achievement declines in the wake of adult political battles. The effects are concentrated in math achievement -- the equivalent of approximately 10 days of lost learning -- and persist for at least four years. The declines are particularly pronounced for controversies surrounding racial issues and the teaching of evolution. These results suggest that well-intentioned education advocacy efforts focused on salient social justice issues may backfire, producing in unintended negative impacts on student achievement, and raise new questions about the adequacy of local democratic processes for the governance of public schools.
Public discussions of racial inclusion and equal opportunity initiatives in the U.S. are often met with claims that expanding access to an institution, space, or public good is likely to diminish its quality. Examples of this pattern include: anticipated (and real) property value declines when predominantly white neighborhoods become more racially diverse; fears that the excellence of white schools will decline when the population of Black and brown students grows; apprehensions that equitable hiring practices necessarily entail lower standards for job candidates. In this paper, we examine how a federal agency, the Fund for the Improvement of Postsecondary Education (FIPSE), charged with addressing the aftermath of the ‘access wave’ of new college students promulgated by the Higher Education Act of 1965, came to reconcile its commitments to educational equity and quality. Through a novel examination of the historical development of what we term (e)quality politics in the administration of civil rights policy in higher education, we trace how two concepts - equity and quality – became discursively linked and contested in American politics. (E)quality politics refers to the introduction of a policy paradigm that reframes equity discussions and goals around the professed need to preserve and advance institutional “quality” using measures and standards that are, importantly, defined and instantiated under the era of segregation that precedes equal access policies. In particular, we uncover the discursive patterns by which the perceived threats to “quality” posed by racial diversity can prompt administrators to compensate, protect, and maintain the prerogatives of high-status institutions or groups that benefited under previous eras of exclusion. Understood as part of a backlash to egalitarian reforms, we argue, these quality measures undermine equity goals.
Promoting equality in college enrollment and completion must start early in students’ college-going journeys, including with their expectations to first earn a college degree. With a nationally representative sample of high school students, I evaluate the ability of a recent collection of college access policies (place-based “promise” scholarships or “free” college programs) to increase students’ college expectations and test the heterogeneity of these impacts across students’ race and family income. Evidence from a difference-in-differences design and lagged-dependent-variable regressions suggest the introduction of promise programs increased the likelihood a student expected to attain an associate degree or higher by 8.5 to 15.0 percentage points by the end of high school, with larger effects for low-income and racially minoritized students. This study is the first to test the power of “free” college in shaping pre-college students’ educational plans, and, in doing so, not only addresses an existing gap in the literature but also identifies a key mechanism through which many of the positive college-going impacts observed across promise programs in the current literature may in fact originate. Given the rapid proliferation of promise programs across the nation, this study provides policymakers with a fuller view of the potential impacts of these programs, particularly concerning how they influence students’ outcomes along dimensions of race and income.
New York City’s Pre-K for All (PKA) is the Nation’s largest universal early childhood initiative, currently serving some 70,000 four-year-olds. Stemming from the program’s choice architecture as well as the City’s stark residential segregation, PKA programs are extremely segregated by child race/ethnicity. Our current study explores the complex forces that influence this segregation, including the interplay between family choices, seat availability, site-level enrollment priorities, and the PKA algorithm that weighs these and other considerations. We find that a majority of PKA segregation lies within rather than between local communities, suggesting that reducing segregation would not necessarily require families to choose programs far from home. On a more troubling note, areas with increased options and greater racial/ethnic diversity also exhibit the most extreme segregation.
In this paper we estimate the effect of charter schools on the diversity of nearby traditional public schools (TPSs) and neighborhoods in New York City. We employ a difference-in-differences approach that exploits the differences in the expansion of the charter sector between grades in the same school. This approach allows us to isolate the effect of charter schools from other neighborhood demographic changes. Our results show small positive effects of charter school expansion on TPS diversity as measured by the entropy score. This change is explained by small increases in the number of White students attending nearby TPSs and larger reductions in the number of Black and Hispanic students in these schools. We also find descriptive evidence that while both neighborhoods and TPSs are slightly more diverse following charter school expansion, schools are changing faster than their surrounding neighborhoods.
English learner (EL) education is widely conceived as services for immigrant-origin students, however nearly one in ten American Indian, Alaska Native, and Native Hawaiian students are classified in school as ELs. Title III of the Every Student Succeeds Act (2015) defines EL eligibility differently for Indigenous, compared to non-Indigenous, students with implications for who is identified as an EL and how best to serve their academic and linguistic interests. This study presents findings from a 50-state review of Indigenous EL identification policy. We find that states fall into four categories ranging from no differentiation in Indigenous EL identification to clear differentiation. We describe each of these four categories and conclude with reflections on how this wide variation in state policies has implications for Indigenous students’ educational resources and experiences.
‘QuantCrit’ (Quantitative Critical Race Theory) is a rapidly developing approach that seeks to challenge and improve the use of statistical data in social research by applying the insights of Critical Race Theory. As originally formulated, QuantCrit rests on five principles; 1) the centrality of racism; 2) numbers are not neutral; 3) categories are not natural; 4) voice and insight (data cannot ‘speak for itself); and 5) a social justice/equity orientation (Gillborn et al, 2018). The approach has quickly developed an international and interdisciplinary character, including applications in medicine (Gerido, 2020) and literature (Hammond, 2019). Simultaneously, there has been ferocious criticism from detractors outraged by the suggestion that numbers are anything other than objective and scientific (Airaksinen, 2018). In this context it is vital that the approach establishes some common understandings about good practice; in order to sustain rigor, make QuantCrit accessible to academics, practioners, and policymakers alike, and resist widespread attempts to over-simplify and pillory. This paper is intended to advance an iterative process of expanding and clarifying how to ‘QuantCrit’.
Disparate turnover among teachers of color remains a persistent educational challenge, yet little research explores the link between school leadership, peer teaching staff, and turnover disparities. This study explores whether principal and peer teacher demographics predict teacher turnover in New York City, and whether they do so differently for teachers of color. We find teachers are less likely to exit when their principal and a higher share of peer teachers are of the same race/ethnicity, with Black teachers having especially lower transfer rates with a higher share of Black peer teachers. However, results suggest school leadership style and positive teacher relationships are not differentially associated with turnover for teachers of color. We conclude with a discussion of implications.