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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.

How to Build Integrated Ed-Fi Infrastructure to Support State and Local Use Cases: A Roadmap for State Education Agencies

3 Takeaways from the Knowledge Alliance Fall Forum on K-12 to Career Pipeline Opportunities

Education Analytics Recognized for Efforts to Expand Ed-Fi Enabled Services to 1.4 Million Students Nationwide

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Stability of School Contributions to Student Social-Emotional Learning Gains

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.

How Ed-Fi Can Help You Make the Most of Your Data

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.

Evaluating the Impact of COVID-19-Related Interventions: Key Considerations and Available Approaches

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.

The Impact of Relay Graduate School of Education Teachers on Student Attendance

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.

Using Interim Assessments to Understand the Impact of COVID-19 on Student Learning

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.

COVID-19 Impacts on Learning and Well-Being

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.

COVID-19 Impacts on Student Learning: Evidence from Interim Assessments in California

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.

Student Well-Being and Learning Conditions During the Pandemic: Evidence from the CORE Districts

We drew on data from the CORE Districts' Student Well-Being and Learning Conditions Survey, given to 32,000 students in Grades 4–12 from three districts at the beginning of the 2020–21 school year and to 15,000 students again a few months later. We examined patterns in responses by student characteristics, the connection between well-being and academic performance, and changes in students' responses from fall to winter.

Learning Change Models: Fall-to-fall and Fall-to-winter Results from South Carolina and California

In this document, we provide technical details on our learning change models, which estimate how much faster or slower students have grown during COVID-19. We also summarizes results from both fall-to-fall and fall-to-winter learning change models in South Carolina and California.

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Blog

What We’ve Learned Building AI on Top of Education Data: Early Lessons From Piloting Stadium AI

Rob Little, Molly Stewart

At EA, we strive to build standard data infrastructure that democratizes data access, so educators can gain insights and improve student outcomes. In the age of AI, we are expanding that goal to cover not just data infrastructure, but “AI infrastructure” as well. That means building a system for AI-friendly context and deploying tools that utilize LLMs to answer prompts, so educators or agency staff who otherwise don’t have the time or technical expertise can access the data insights they need. We have built Stadium AI to test the hypothesis that a natural language interface on top of a well-structured education data warehouse could let more people, not just analysts, ask questions about their data and get answers they can trust. We started with testing a beta version of Stadium AI with real analyst users at the South Carolina Department of Education (SCDE) to see how they would use it, and if that could inform how a broader audience may use the tool. What we didn't expect? What users would ask when given the tool. In this blog, Technical Lead Manager Rob Little and Senior Product Manager Molly Stewart share what we've learned throughout the process of building Stadium AI.

Day in the Life: Q&A with Director of Services Tracy Diel

Tracy Diel

In this blog, Tracy describes her previous experience working in research, accountability, and assessment at Denver Public Schools, how her role as Director enables her to create the conditions for her team to do their best work, and her favorite partner projects to work on at EA.

Podcast

EA Stack Series Part IV: Giving District Data a Platform with Podium with Katie O'Brien

April 17, 2026

In the latest episode of the DatabasED podcast, co-hosts Molly Stewart (Senior Project Manager) and Rosh Dhanawade (VP of Product) sit down with Katie O'Brien (Senior Product Manager) at Education Analytics to explore Podium, EA's data visualization platform built for education leaders. Katie shares how Podium helps districts, schools, and state agencies answer the big questions they face every day, from tracking chronic absenteeism to understanding student behavior and enrollment trends. The conversation dives into how Podium's core dashboard suite provides quick, reliable insights while also giving districts the flexibility to build custom dashboards tailored to their unique initiatives. The episode also unpacks the technical side of building a scalable business intelligence platform in education. Katie discusses how EA leverages tools like Apache Superset (via Preset), Ed-Fi data standards, and the Stadium data warehouse to deliver secure, multi-tenant data access across districts and states. She also highlights the challenges of adapting traditional BI tools for education use cases, including differences in school calendars, data privacy requirements, and complex user structures.

Economists of Scale: Using Interoperability Technologies for Efficient Research with Large Datasets with Michael Christian and Sara Hu

January 28, 2026

In the latest episode of the DatabasED podcast, co-hosts Molly Stewart (Senior Product Manager) and Rosh Dhanawade (Vice President of Product) chat with Mike Christian, Principal Researcher, and Sara Hu, Research Scientist I, at Education Analytics. In this episode, Mike and Sara share how interoperability technologies are transforming research in the education sector. They also dive into their experiences using Ed-Fi data, Snowflake, SQL, and dbt documentation to conduct large-scale, efficient research at EA, along with the learning curve researchers face when moving from traditional flat files to modern data warehouses. This conversation highlights how bridging research, data engineering, and educational practice enables faster analysis, resulting in better outcomes for students and education stakeholders.

Newsroom

AI’s Memory Capabilities Have Implications for K-12

September 25, 2026

In a webinar hosted by the American Enterprise Institute on September 24, 2026, panelists including Education Analytics’ CEO Andrew Rice, discussed the emerging challenges they face as artificial intelligence tools become capable of retaining information about students across interactions, and how states and other entities are dealing with the associated complexities of AI memory.

Scott Bowers Joins Education Analytics’ Board of Directors

September 23, 2026

Education Analytics is pleased to announce the appointment of Scott Bowers to its board of directors. Bowers brings more than 35 years of executive leadership experience spanning finance, publishing, manufacturing, retail building materials, and advisory services, including prior roles as board chair, CEO, CFO, and publisher.