The COVID-19 slide: What summer learning loss can tell us about the potential impact of school closures on student academic achievement
COVID-19 school closures will likely impact student academic achievement. Research on summer learning loss can offer insights to help educators, policy makers, and families understand, plan for, and address some potential impacts of this extended pause when students return to school.
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In the visualizations in this exhibit, you can compare the performance and growth of various groups of high achievers to that of their peers over multiple years.
Some of our assumptions about the growth and performance of students from high-poverty schools relative to their peers from wealthier schools may be challenged in this data gallery, where you can explore how school poverty level interacts with student growth, college readiness, and college access.
This study examines the academic growth of 35,000 elementary and middle school students in 31 states—all of them high achievers within their own schools—over a three-year period.
In this study from the Thomas B. Fordham Institute, achievement trends from NWEA’s longitudinal growth database were used to track students who scored at or above the 90th percentile on this assessment in order to see if they maintained their high achievement.
Creating tests and items from the beginning with Universal Design for Learning in mind, removing barriers by adding alt-tags, and incorporating more culturally rich materials are all steps NWEA is doing to improve our equity for all students.
By: Elizabeth Barker
Image descriptions are important to make computer-based assessments accessible to students using assistive technology (AT) devices, such as screen readers and refreshable braille displays. NWEA, with support from the National Center for Accessible Media (NCAM), has created guidelines for describing many variations of images, charts, and graphics targeted specifically to the disciplines of reading, language usage, science, and mathematics.
By: Elizabeth Barker
This study examined developmental trends in academic achievement gaps between poverty and race/ethnicity groups from school entry to middle school using two large longitudinal data sets. We used time-varying effect modeling (TVEM) to estimate how the associations among race/ethnicity, poverty status, and math and reading achievement vary across continuous age from age 5 to age 15.
By: Megan Kuhfeld, Elizabeth Gershoff, Katherine Paschall