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Summer learning loss is a perennial concern for educators and parents alike. However, researchers have recently questioned whether summer learning loss is just a statistical artifact driven by how achievement is measured across the school year. In this study, we empirically investigated a plausible critique of summer learning loss research, namely that students do not put forth their best effort on the fall test compared with the spring test. While we cannot conclude based on our findings that students do in fact lose ground during the summer, we did not find evidence that seasonal differences in test effort are a main driver of summer learning patterns estimated with MAP Growth assessments.

The United States is in the midst of an effort to intensify middle school mathematics curricula by enrolling more 8th graders in Algebra. California is at the forefront of this effort, and in 2008, the state moved to make Algebra the accountability benchmark test for 8th-grade mathematics. This article takes advantage of this unevenly implemented policy to understand the effects of curricular intensification in middle school mathematics. Using district-level panel data from all California K–12 public school districts, we estimate the effects of increasing 8th-grade Algebra enrollment rates on a 10th-grade mathematics achievement measure. We find that enrolling more students in advanced courses has negative average effects on students’ achievement, driven by negative effects in large districts.

One of the enduring problems in education is the persistence of achievement gaps between White, wealthy, native English-speaking students and their counterparts who are minority, lower-income, or English language learners. This study shows that one intensive technical assistance (TA) intervention—California’s District Assistance and Intervention Teams (DAITs)—implemented in conjunction with a high-stakes accountability policy improves the math and English performance of traditionally underserved students. Using a 6-year panel of student-level data from California, we find that the DAIT intervention significantly reduces achievement gaps between Black, Hispanic, and poor students and their White and wealthier peers. These results indicate that capacity-building TA helps to close achievement gaps in California’s lowest performing districts.