Early studies examining seasonal variation in academic achievement inequality generally concluded that socioeconomic test score gaps grew more over the summer than the school year, suggesting schools served as “equalizers.” In this study, we analyze seasonal trends in socioeconomic status (SES) and racial/ethnic test score gaps using nationally representative data from the Early Childhood Longitudinal Study, Kindergarten Class of 2010–2011 (ECLS-K:2011), which includes more school-year and summer rounds than previous national studies. We further examine how inequality dynamics are influenced by the operationalization of inequality. Findings are consistent with a story in which schools initially accelerate relatively lower-achieving groups’ learning more so than higher-achieving groups; however, this school-year equalizing is not consistently maintained and sometimes reverses. When operationalizing inequality as changes in relative position, the reversal of school-year equalizing is more pronounced.

Research on science achievement disparities by gender and race/ethnicity often neglects the beginning of the pipeline in the early grades. We address this limitation using nationally representative data following students from Grades 3 to 8. We find that the Black–White science test score gap (–1.07 SD in Grade 3) remains stable over these years, the Hispanic–White gap narrows (–.85 to –.65 SD), and the Asian–White Grade 3 gap (–.31 SD) closes by Grade 8. The female–male Grade 3 gap (–.23 SD) may narrow slightly by eighth grade. Accounting for prior math and reading achievement, socioeconomic status, and classroom fixed effects, Grade 8 racial/ethnic gaps are not statistically significant. The Grade 8 science gender gap disappears after controlling for prior math achievement.

The model minority perception of Asian American students often ignores the academic and social challenges that many face in schools. One area that has received less attention is the school victimization experiences of Asian American adolescents. While some qualitative researchers have explored factors contributing to school victimization in recent years, missing in the literature is the scope of these incidents among Asian Americans. This paper contributes to this literature by (1) examining national trends in the victimization of Asian American adolescents in schools over the last decade and (2) investigating how victimization varies according to their gender, socioeconomic status, and achievement levels. The results show that although Asian American adolescents are consistently less likely to be bullied relative to other students, they are more likely to report experiences of racial discrimination. Victimization incidents for Asian Americans also differ by gender and academic achievement levels.

With the increasing availability of technology and the emphasis on science, technology, engineering, and mathematics education, there is an urgent need to understand the impact of technology-mediated mathematics (TMM) interventions on student mathematics outcomes. The purpose of this study was to review studies on TMM interventions that target the mathematical outcomes of K–12 students with or at risk for mathematics learning disabilities (MLDs). A review of the literature revealed 19 studies (9 single-case and 10 group/quasi experimental designs) published between 2000 and 2016. Results suggest that TMM interventions had mainly positive results on the mathematics outcomes of students with or at risk for MLD. This study also examined the extent to which principles of explicit instruction were integrated in TMM interventions. While many of the interventions provided frequent practice opportunities with academic feedback, few complemented such practice opportunities with overt demonstrations and explanations of mathematical content. Implications for designing TMM interventions are discussed.

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