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Credit recovery (CR) refers to online courses that high school students take after previously failing the course. Many have suggested that CR courses are helping students to graduate from high school without corresponding increases in academic skills. This study analyzes administrative data from the state of North Carolina to evaluate these claims using full data from public and private CR providers. Findings indicate that students who fail courses and enroll in CR have lower test scores of up to two tenths of a standard deviation and are about seven percent more likely to graduate high school on time than students who repeat courses traditionally. Test score differences are particularly large for Biology compared to Math I and English II. Hispanic and economically disadvantaged CR students are more likely to graduate high school than their peers.
Nationally, 15% of first-time community college students were high school dual enrollment (DE) students, which raises concerns about how high school peers might influence college enrollees. Using administrative data from a large state community college system, we examine whether being exposed to a higher percentage of DE peers in entry-level (gateway) math and English courses influences non-DE enrollees’ performance. Using a two-way fixed effects model, our results indicate that college enrollees exposed to a higher proportion of DE peers had lower pass rates and grades in gateway courses, and higher course repetition rates. Supplemental student-level analysis suggests that greater exposure to DE peers during a student’s initial semester in college reduces next-term college persistence.
This paper reports math and reading academic achievement and growth in grades 2 to 8 for Hispanic participants and nonparticipants of a Spanish-English dual language program. I apply a piecewise multilevel growth model to administrative data from a large school district that enrolls a substantial English Learner student population. Dual language participants started 2nd grade with lower achievement than nonparticipants. In math, dual language participants grew faster than nonparticipants during each school year in grades 2 to 5 but lost more learning during subsequent summers. Thus, despite growing faster in the beginning, dual language students did not learn more than their peers in the long run, and the gap between dual language students and the national average was not closing. In reading, dual language participants grew slightly more slowly during school years but lost less learning during the summers, closing the gap between themselves and the national average. These findings suggest that programs aimed at addressing achievement gaps need to consider summer as well as school-year learning for historically-underserved student populations.
The COVID-19 pandemic led to an abrupt shift from in-person to virtual instruction in Spring 2020. Using a difference-in-differences framework that leverages within-course variation on whether students started their Spring 2020 courses in person or online, we estimate the impact of this shift on the academic performance of Virginia’s community college students. We find that the shift to virtual instruction resulted in a 6.7 percentage point decrease in course completion, driven by increases in both course withdrawal and failure. Faculty experience teaching a course online did not mitigate the negative effects of moving to virtual instruction.
Federal policy has both incentivized and supported better use of research evidence by educational leaders. However, the extent to which these leaders are well-positioned to understand foundational principles from research design and statistics, including those that underlie the What Works Clearinghouse ratings of research studies, remains an open question. To investigate educational leaders’ knowledge of these topics, we developed a construct map and items representing key concepts, then conducted surveys containing those items with a small pilot sample (n=178) and a larger nationally representative sample (n=733) of educational leaders. We found that leaders’ knowledge was surprisingly inconsistent across topics. We also found most items were answered correctly by less than half of respondents, with cognitive interviews suggesting that some of those correct answers derived from guessing or test-taking techniques. Our findings identify a roadblock to policymakers’ contention that educational leaders should use research in decision-making.
The Community Eligibility Provision (CEP) is a policy change to the federally-administered National School Lunch Program that allows schools serving low-income populations to classify all students as eligible for free meals, regardless of individual circumstances. This has implications for the use of free and reduced-price meal (FRM) data to proxy for student disadvantage in education research and policy applications, which is a common practice. We document empirically how the CEP has affected the value of FRM eligibility as a proxy for student disadvantage. At the individual student level, we show that there is essentially no effect of the CEP. However, the CEP does meaningfully change the information conveyed by the share of FRM-eligible students in a school. It is this latter measure that is most relevant for policy uses of FRM data.
Note: Portions of this paper were previously circulated under the title “Using Free Meal and Direct Certification Data to Proxy for Student Disadvantage in the Era of the Community Eligibility Provision.” We have since split the original paper into two parts. This is the first part.
We study the adoption and implementation of a new mobile communication app among a sample of 132 New York City public schools. The app provides a platform for sharing general announcements and news as well as engaging in personalized two-way communication with individual parents. We provide participating schools with free access to the app and randomize schools to receive intensive support (training, guidance, monitoring, and encouragement) for maximizing the efficacy of the app. Although user supports led to higher levels of communication within the app in the treatment year, overall usage remained low and declined in the following year when treatment schools no longer received intensive supports. We find few subsequent effects on perceptions of communication quality or student outcomes. We leverage rich internal user data to explore how take-up and usage patterns varied across staff and school characteristics. These analyses help to identify early adopters and reluctant users, revealing both opportunities and obstacles to engaging parents through new communication technology.
The evidence that student learning declines sharply (or stagnates) during the summer has motivated a substantial interest in programs that provide intensive academic instruction during the summer. However, the existing literature suggests that such programs, which typically focus on just one or two subjects, have modest effects on students’ achievement and no impact on measures of their engagement in school. In this quasi-experimental study, we present evidence on the educational impact of a unique and mature summer learning program that serves low-income middle school students and features unusual academic breadth and a social emotional curriculum with year-to-year scaffolding. Our results indicate that this program led to substantial reductions in unexcused absences, chronic absenteeism and suspensions and a modest gain in ELA test scores. We find evidence that the gains in behavioral engagement grow over time and with additional summers of participation. Our results also suggest that these effects were particularly concentrated among boys and Latinx students.
The Post-9/11 GI Bill allows service members to transfer generous education benefits to a dependent. We run a large scale experiment that encourages service members to consider the transfer option among a population that includes individuals for whom the transfer benefits are clear and individuals for whom the net-benefits are significantly more ambiguous. We find no impact of a one-time email about benefits transfer among service members for whom we predict considerable ambiguity in the action, but sizeable impacts among service members for whom education benefits transfer is far less ambiguous. Our work contributes to the nascent literature investigating conditions when low-touch nudges at scale may be effective. JEL Classification: D15, D91, H52, I24
This article takes stock of where the field of behavioral science applied to education policy seems to be at, which avenues seem promising and which ones seem like dead ends. I present a curated set of studies rather than an exhaustive literature review, categorizing interventions by whether they nudge (keep options intact) or “shove” (restrict choice), and whether they apply a high or low touch (whether they use face-to-face interaction or not). Many recent attempts to test large-scale low touch nudges find precisely estimated null effects, suggesting we should not expect letters, text messages, and online exercises to serve as panaceas for addressing education policy’s key challenges. Programs that impose more choice-limiting structure to a youth’s routine, like mandated tutoring, or programs that nudge parents, appear more promising.