True to our non-profit nature, we believe in sharing our knowledge.
We’re motivated by something greater than the bottom-line. We believe in supporting both the health of the education system in the United States and the well-being of each and every student. So we make a point to share what we learn with others who are positioned to make a difference, too.
In collaboration with the Georgia Department of Education, the Michigan Data Hub, the Wisconsin Department of Public Instruction, and INsite at Indiana University, Education Analytics has created a new resource highlighting the benefits of implementing an integrated Ed-Fi infrastructure at the state level. This resource provides a roadmap for State Education Agencies (SEAs) to implement an integrated Ed-Fi model in their own state to enable them to drive scale and impact of Ed-Fi.
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.
This resource provides guidance for education agencies that are beginning to consider whether and how they might implement Ed-Fi to better manage their data. We define some key terms and concepts, walk through the five steps to get started with Ed-Fi, and include a list of resources where you can learn more.
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 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.
EA developed this guide and accompanying webinar to support our partners in investigating the impacts of missing data due to COVID-19-related school closures and making adjustments in order to account for data limitations.
This brief is one in a series aimed at providing K-12 education decision makers and advocates with an evidence base to ground discussions about how to best serve students during and following the novel coronavirus pandemic.
This guide outlines the steps that organizations might consider for measuring students’ social and emotional learning (SEL). We highlight the lessons we have learned from the research that Education Analytics has conducted on SEL survey measures. We also discuss future directions of SEL measurement that policymakers and practitioners at the state and district level should consider.