Resources

This paper examines the concept of open-source data interoperability in the United States’ K-12 education domain, specifically addressing the implications of interoperability for data justice. Building on the nascent research and theorizing in the fields of both data justice and interoperability in educational contexts, this paper provides an overview of the current state of this intersection.

This resource outlines EA's approach to human-centered product design, which takes into consideration the preferences and mindsets of real people. Each step in our design process ensures our products and services are easily accessible and effective for our users.

Non-traditional educator preparation programs, such as the Relay Graduate School of Education, may be an effective way to introduce more teachers of color into the teacher supply pipeline. Here, we summarize evidence using six years of longitudinal data from the New York City Department of Education to address three research questions related to reducing racial and ethnic mismatch between students and teachers.

Recent attempts to measure schools’ influence on students’ social-emotional learning (SEL) show differences across schools, but whether these estimated differences measure the true effects of schools remain unclear. To better understand these measures, we examine the stability of estimated school-by-grade effects across two years using large-scale survey data.

This resource provides guidance for education agencies that are considering how and when to evaluate programs designed to address the impacts of COVID-19 on student outcomes. We present some key questions to consider, share common data requirements, and outline different options for designing the analytic approach.

This report examines how New York City teachers from the Relay Graduate School of Education influenced students’ attendance. We found that Relay teachers had positive, statistically significant impacts on students’ attendance, especially for students from historically marginalized backgrounds.

This resource is meant to support education agencies as they consider additional data they can use to identify where students are academically, including EA’s lessons learned in working with these data. We include guiding questions and data requirements that agencies can use to start conversations with their internal stakeholders.

This infographic highlights EA's research into changes in learning patterns experienced by students in grades 3–8 in California and South Carolina. Using results from winter 2020–21 interim assessments, EA provides an up-to-date picture of the learning lag students have experienced during the pandemic. EA also highlights findings from a well-being student survey collected during the 2020–21 school year.

We used data from interim assessments to examine how the rate of student learning from fall 2019 through winter 2020–21 differed from that of student learning before COVID-19 for approximately 100,000 students in grades 4-8 across 19 local education agencies in California. Results showed that students experienced approximately 2.5 months of learning lag on average in math and ELA, with more substantial learning lag for students who are economically disadvantaged, English Learners, and Latinx.