We used the Stanford education data archive (SEDA) data to examine the heterogeneity among urban school districts in the United States. The SEDA 2.1 includes data sets on students' mathematics (Math) and English language arts (ELA) achievement from 2008 to 2014 at the district level. Growth mixture modeling was used to uncover the underlying…

This article investigates interactional processes by which students from non-dominant groups develop academic identities within schools that privilege the dominant group. It draws on an ethnographic study of an urban magnet school, focusing on a discourse analysis of conversations between 3 eighth-grade girls. Findings include that students…

Students who struggle in pursuit of postsecondary education tend to be Latino, Black, low-income, or first-generation college students. This article presents the case of a small public school serving students grades 6-12 from these traditionally underrepresented backgrounds in a large urban school district. Observations revealed that the school…