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Recent state policy efforts have focused on increasing attainment among adults with some college but no degree (SCND). Yet little is actually known about the SCND population. Using data from the Virginia Community College System (VCCS), we provide the first detailed profile on the academic, employment, and earnings trajectories of the SCND population, and how these compare to VCCS graduates. We show that the share of SCND students who are academically ready to reenroll and would benefit from doing so may be substantially lower than policy makers anticipate. Specifically, we estimate that few SCND students (approximately three percent) could fairly easily re-enroll in fields of study from which they could reasonably expect a sizable earnings premium from completing their degree.
Despite growing evidence that classroom interventions in science, technology, engineering, and mathematics (STEM) can increase student achievement, there is little evidence regarding how these interventions affect teachers themselves and whether these changes predict student learning. We present results from a meta-analysis of 37 experimental studies of preK-12 STEM professional learning and curricular interventions, seeking to understand how STEM classroom interventions affect teacher knowledge and classroom instruction, and how these impacts relate to intervention impacts on student achievement. Compared with control group teachers, teachers who participated in STEM classroom interventions experienced improvements in content and pedagogical content knowledge and classroom instruction, with a pooled average impact estimate of +0.56 standard deviations. Programs with larger impacts on teacher practice yielded larger effects on student achievement, on average. Findings highlight the positive effects of STEM instructional interventions on teachers, and shed light on potential teacher-level mechanisms via which these programs influence student learning.
We use novel data on disciplinary referrals, including those that do not lead to suspensions, to better understand the origins of racial disparities in exclusionary discipline. We find significant differences between Black and white students in both referral rates and the rate at which referrals convert to suspensions. An infraction fixed-effects research design that compares the disciplinary outcomes of white and non-white students who were involved in the same multi-student incident identifies systematic racial biases in sentencing decisions. On both the intensive and extensive margins, Black and Hispanic students receive harsher sentences than their white co-conspirators. This result is driven by high school infractions and mainly applies to “more severe” infractions that involve fights or drugs. Reducing racial disparities in exclusionary discipline will require addressing underlying gaps in disciplinary referrals and the systematic biases that appear in the adjudication process.
Four-day school weeks have proliferated across the United States in recent years, reaching over 650 public school districts in 24 states as of 2019, but little is known about their implementation and there is no consensus on their effects on students. This study uses district level panel data from Oklahoma and a difference-in-differences research design to provide estimates of the causal effect of the four-day school week on high school students’ ACT scores, attendance, and disciplinary incidents during school. Results indicate that four-day school weeks decrease per-pupil bullying incidents by approximately 39% and per-pupil fighting incidents by approximately 31%, but have no detectable effect on other incident types, ACT scores, or attendance.
Student surveys are widely used to evaluate university teaching and increasingly adopted at the K-12 level, although there remains considerable debate about what they measure. Much disagreement focuses on the well-documented correlation between student grades and their evaluations of instructors. Using individual-level data from 19,000 evaluations of 700 course sections at a flagship public university, we leverage both within-course and within-student variation to rule out popular explanations for this correlation. Specifically, we show that the relationship cannot be explained by instructional quality, workload, grading stringency, or student sorting into courses. Instead, student grade satisfaction -- regardless of the underlying cause of the grades -- appears to be an important driver of course evaluations. We also present results from a randomized intervention with potential to reduce the magnitude of the association by reminding students to focus on relevant teaching and learning considerations and by increasing the salience of the stakes attached to evaluations for instructor careers. However, these prove ineffective in muting the relationship between grades and student scores.
As unfunded pension liabilities grow, governments experiment with ways to curb costs. We examine the effect of a representative cost-cutting reform on the retention and productivity of workers. The reform reduced pension annuities and increased penalties for early retirement, projected to save 8 percent of revenues. We leverage administrative records and a discontinuity in the reform to estimate its effect on labor supply. The reform slightly increased worker retention, and we can rule out small attrition effects. The reform had no effect on worker output. The extensive and intensive margins of labor supply appear to be maintained under the reform.
Using administrative data from D.C. Public Schools, I use exogenous variation in the presence and intensity of teacher monitoring to show it significantly improves student test scores and reduces suspensions. Uniquely, my setting allows me to separately identify the effect of pre-evaluation monitoring from post-evaluation feedback. Monitoring's effect is strongest among teachers with a large incentive to increase student test scores. As tests approach, unmonitored teachers sacrifice higher-level learning, classroom management, and student engagement, even though these pedagogical tasks are among the most effective. One possible explanation is teachers ``teach to the test'' as a risk mitigation strategy, even if it is less effective on average. This is supported by showing teaching to the test has a smaller effect on student test score variance than other teaching approaches. These results illustrate the importance of monitoring in contexts where teachers have the strongest incentive to deviate from pedagogically sound practices.
The benefits of student-teacher ethnoracial matching on student outcomes—ranging from academic achievement to postsecondary attainment—are well documented. Yet, we know far less about the role of student-teacher ethnoracial matching in the earliest grades school and on less about effects on non-academic outcomes. The purpose of this study is to advance our understanding of student-teacher ethnoracial matching in early elementary school by exploring two executive function outcomes – working memory and cognitive flexibility. Drawing on data from the Early Childhood Longitudinal Study – Kindergarten Class of 2011, our findings suggest student-teacher ethnoracial matching benefits on working memory skills, though not cognitive flexibility. Observed associations for working memory are of similar size to those for academic achievement outcomes and are largest for Black and Latinx students.
To study beliefs about ability and STEM major choice, I conduct a field experiment where I provide students with information that they are above average in their top fields of study. I find that STEM students are more likely to switch out of their major and that non-STEM students fail to switch into STEM at the same rates as other fields. I also find that learning you are above average in your top field of study increases STEM major choice by almost a third, as STEM students appear more like to persist and non-STEM students increase their switching into STEM fields.