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We used Critical Discourse Analysis to examine the racial discourse within recent attempts to reauthorize the Higher Education Act. Specifically, we interrogated congressional markup hearings to understand how members frame student debt and the racialized dynamics embedded within. Our findings highlight three types of discourse: “All Students” Matter, Paternalistic, Race-Evasive, and Explicit Racial Discourse. We offer recommendations for research and policymaking.
What happens when employers screen their employees but only observe a subset of output? We specify a model with heterogeneous employees and show that their response to the screening affects output in both the probationary period and the post-probationary period. The post-probationary impact is due to their heterogeneous responses affecting which individuals are retained and hence the screening efficiency. We show that the impact of the endogenous response on both the unobserved outcome and screening efficiency depends on whether increased effort on one task increases or decreases the marginal cost of effort on the other task. If the response decreases unobserved output in the probationary period then it increases the screening efficiency, and vice versa. We then assess these predictions empirically by studying a change to teacher tenure policy in New York City, which increased the role that a single measure -- test score value-added -- played in tenure decisions. We show that in response to the policy teachers increased test score value-added and decreased output that did not enter the tenure decision. The increase in test score value-added was largest for the teachers with more ability to improve students' untargeted outcomes, increasing their likelihood of getting tenure. We estimate that the endogenous response to the policy announcement reduced the screening efficiency gap -- defined as the reduction of screening efficiency stemming from the partial observability of output -- by 28%, effectively shifting some of the cost of partial observability from the post-tenure period to the pre-tenure period.
A stable learning environment is critical to high school reforms aimed at promoting postsecondary educational success. High teacher attrition can disrupt stable learning environments by uprooting student-teacher relationships and harming school climate. Educational leaders need greater understanding of how college readiness reforms alter learning environments generally, and teacher retention in particular. We study teacher turnover in two Texas College and Career Readiness School Models (CCRSM), called Early College High Schools and inclusive Science, Technology, Engineering, and Math Academies. We find (a) CCRSM schools have lower teacher turnover compared to traditional public high schools, (b) charter versions of CCRSM schools have higher turnover, but (c) non-CCRSM charters have the highest overall teacher turnover. We discuss implications for improving high school-based college readiness reforms.
The prevalence of school-based healthcare has increased markedly over the past decade. We study a modern mode of school-based healthcare, telemedicine, that offers the potential to reach places and populations with historically low access to such care. School-based telemedicine clinics (SBTCs) provide students with access to healthcare during the regular school day through private videoconferencing with a healthcare provider. We exploit variation over time in SBTC openings across schools in three rural districts in North Carolina. We find that school-level SBTC access reduces the likelihood that a student is chronically absent by 2.5 percentage points (29 percent) and reduces the number of days absent by about 0.8 days (10 percent). Relatedly, access to an SBTC increases the likelihood of math and reading test-taking by between 1.8-2.0 percentage points (about 2 percent). Heterogeneity analyses suggest that these effects are driven by male students. Finally, we see suggestive evidence that SBTC access reduces violent or weapons-related disciplinary infractions among students but has little influence on other forms of misbehavior.
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 targeting to the counterfactual: human prediction. We compare algorithmic and human predictions in the context of a national college advising program, focusing in particular on predicting high-achieving, lower-income students’ college enrollment quality. College advisors slightly outperform a prediction algorithm; however, greater advisor accuracy is concentrated among students with whom advisors had more interactions. The algorithm achieved similar accuracy among students lower in the distribution of interactions, despite advisors having substantially more information. We find no evidence that the advisors or algorithm exhibit bias against vulnerable populations. Our results suggest that, especially at scale, algorithms have the potential to provide efficient, accurate, and unbiased predictions to target scarce social services and resources.
Many policies in higher education are intended to improve college access and degree completion, yet often those policies fall short of their aims by making it difficult for prospective or current college students to access benefits for which they are eligible. Barriers that inhibit access to policy benefits, such as cumbersome paperwork, can weigh more heavily on members of marginalized communities, including racially minoritized students. Such administrative burdens can thus reinforce patterns of inequity. In this paper, we present a conceptual framework for examining administrative burdens embedded in higher education policies that can negatively affect prospective and current college students, especially those who are racially minoritized. With the use of our proposed framework, researchers can improve the understanding of ethnoracial disparities in higher education, inform policymakers’ design of racially equitable policies for higher education, and enable practitioners to implement those policies to promote racial equity.
Colleges across the United States are now placing most or all students directly into college-level courses and providing supplementary, aligned academic support alongside the courses, also known as “corequisite remediation.” Developmental education reforms like corequisite remediation could advance racial and ethnic equity in postsecondary education by facilitating early academic progression. However, there is limited evidence available on differential impacts of corequisite models by race and ethnicity. To better understand the potential for differential impacts of English corequisites for Latinx students, this study leverages data from a randomized control trial across five large urban community colleges across Texas. We also utilize student survey data to develop a deeper understanding of how corequisites shape the experiences of Latinx students in their college-level English courses. Latinx students in our study colleges saw larger benefits from taking corequisite English than non-Latinx students in terms of gateway course completion. The survey findings suggest that corequisites provided an environment where Latinx students felt less academically overwhelmed and less bored relative to patterns observed for traditional DE course enrollees. However, Latinx students in corequisites also reported being less likely to participate in class discussions and ask questions relative to their non-Latinx peers.
Many education policymakers and system leaders prioritize recruiting and developing effective school leaders as key mechanisms to improve school climate and student learning. Despite efforts to select and support successful school leaders, however, relatively little is understood about the prior professional experiences and skillsets that principals possess upon entry into their positions. In this descriptive paper, we use 14 years of administrative data on all educators in Oregon to trace the prior professional experiences and instructional effectiveness of those who become school leaders. We highlight that many principals in Oregon acquire educational leadership experience outside the assistant principal role and outside of the school district in which they serve as principals. We also find that when future school leaders were teachers, they improved student achievement at modestly higher rates than their peers. Insight into these topics has the potential to inform the pre-service training, recruitment and professional development of school leaders.
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 to a meta-major consisting of different majors and to declare a specialization late in college instead of applying to a specific major. Using administrative data over 18 years on the universe of college applicants in a Chinese province, we examine the impacts of the staggered adoption of the reform across institutions on student composition changes. We find substantial heterogeneous effects across institutions and majors despite the aggregate null effects. This paper provides important policy implications regarding college admissions mechanism designs.
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-then-major choice, we provide the first experimental evidence on the information frictions and heterogeneous preferences that students have in their response to the meta-major option. In a randomized experiment with a nationwide sample of 11,424 high school graduates, we find that providing information on the benefits of a meta-major significantly increased students’ willingness to choose the meta major; however, information about specific majors and assignment mechanisms did not affect student major choice preferences. We also find that information provision mostly affected the preferences of students who were from disadvantaged backgrounds, lacked accurate information, did not have clear major preferences, or were risk loving.