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Direct linkKaren Ramlackhan; Yan Wang – Urban Education, 2024
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…
Descriptors: Urban Schools, Academic Achievement, Mathematics Education, English Curriculum
Download full textRegion 1 Comprehensive Center, 2024
After the pandemic, many students returned to the classroom behind on reading, as shown by data in the National Assessment for Educational Progress (NAEP). Those students are now adolescents and approaching a critical turning point in their education: They are expected to read with greater independence. For students who are still struggling to…
Descriptors: National Competency Tests, Reading Ability, Achievement Gap, COVID-19
