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Examining the Role of Major Interim Assessments in Predicting Student Performance Scores and Gains on a State Summative Assessment

In this research article from the "Educational Assessment" Journal, EA staff member Michael Christian and former Enhance Fellow at EA Shuyuan Li explore the marginal contribution of three widely used interim assessments in forecasting both performance scores and gains on a state summative assessment, conditional on prior state summative test scores.
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Estimating School Value-Added from Publicly Available Data: A Preliminary Investigation

In this research article from the "Applied Measurement in Education" Journal, EA staff members Michael Christian, Libby Pier, and Andrew Rice explore the possibilities for measuring school value-added using published data that are aggregated by school and grade as an option for situations in which student-level data are unavailable.
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What COVID Taught Us About Students’ Social-Emotional Development—and Why California Should Rethink How It Provides Support

In this Policy for Analysis for California Education (PACE) commentary, Research Scientist II Caroline Wang challenges current postpandemic recovery approaches by demonstrating that social-emotional learning (SEL) is the foundation of academic resilience and a primary lever for addressing chronic absenteeism.
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How Community-Honed Code Led to Success in Tennessee

The Tennessee Department of Education (TDOE) faced a familiar challenge: siloed systems and delayed insights made it difficult to access and act on critical data. Leaders wanted a solution that could deliver value quickly, scale sustainably, and avoid long-term vendor lock-in. Tennessee turned to Enable Data Union (EDU), a publicly available code framework developed by Education Analytics (EA). EDU extracts data from Ed-Fi, loads it into a modern cloud warehouse, and transforms it into an analytics-ready model. Tennessee implemented EDU in just hours — giving state leaders rapid access to the information they needed. Read the case study to learn more about the challenges, successes, and lessons learned from this implementation process in Tennessee.
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Equity-Aligned Analytics to Support Integrated Early Warning and School Accountability Systems

This report, coordinated under The K12 Research for Equity Hub and managed by EduDream, describes an approach to school accountability systems that addresses equity concerns by combining prospective student-based metrics such as those found in early warning systems with a refined set of school- and district-based retrospective accountability metrics.
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How to Build Integrated Ed-Fi Infrastructure to Support State and Local Use Cases: A Roadmap for State Education Agencies

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.
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Interoperability and data standards in the K-12 education sector: Intersections with data justice

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.
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The EA Approach to Human-Centered Design

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.
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Teacher Diversity Among Relay Graduate School of Education Teachers: Highlighted Findings

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

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