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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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Estimating School Value-Added from Publicly Available Data: A Preliminary Investigation
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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What COVID Taught Us About Students’ Social-Emotional Development—and Why California Should Rethink How It Provides Support
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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How Community-Honed Code Led to Success in Tennessee
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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Equity-Aligned Analytics to Support Integrated Early Warning and School Accountability Systems
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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How to Build Integrated Ed-Fi Infrastructure to Support State and Local Use Cases: A Roadmap for State Education Agencies
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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Interoperability and data standards in the K-12 education sector: Intersections with data justice
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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The EA Approach to Human-Centered Design
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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Teacher Diversity Among Relay Graduate School of Education Teachers: Highlighted Findings
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.
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Stability of School Contributions to Student Social-Emotional Learning Gains
Day in the Life: Q&A with Data Engineer II Ryan Aguilar
Get to know Data Engineer II Ryan Aguilar in the latest installment of our “Day in the Life” series. In this blog, Ryan describes how working with CORE Districts at a previous job led him to discover Education Analytics (EA), what his day-to-day responsibilities look like on the Data Engineering team, and what changes he anticipates in the ed tech field in the next year.
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Day in the Life: Q&A with Data Engineer II Ryan Aguilar
Education Analytics’ Second Annual Staff Conference: Ideas in Action
In July 2026, we hosted our second annual EA Conference, which included a full day of sessions to share the work, ideas, and expertise that define how EA operates and evolves. Building on the energy of last year’s inaugural event, this year’s conference featured more than 25 sessions spanning five themes: Product, Partner, Platforms & Tools, AI, and Showcase. New this year was the Poster Showcase, a format that gave staff the chance to share projects in progress, spark conversations, and invite feedback in an informal, exploratory setting. In this blog, you'll learn more about this year's conference.
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Education Analytics’ Second Annual Staff Conference: Ideas in Action
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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EA Stack Series Part IV: Giving District Data a Platform with Podium with Katie O'Brien
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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Economists of Scale: Using Interoperability Technologies for Efficient Research with Large Datasets with Michael Christian and Sara Hu
Why Claude for Teachers Might Be a Student Privacy Trap for Educators
July 31, 2026
Mark Schneider, Nonresident Senior Fellow at American Enterprise Institute, and Andrew Rice, CEO at Education Analytics, spoke to The 74 to discuss Anthropic’s new “Claude for Teachers” tool and the impact on and potential risks to educators who are interested in using this tool to generate lesson plans or other classroom materials.
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Why Claude for Teachers Might Be a Student Privacy Trap for Educators
LinkedIn Live Webinar: You've Modernized Your Data System—Now What? Turning Implementation Into Impact
April 21, 2026
What happens after Ed-Fi implementation? How do states turn modern education data systems into real, measurable impact?
This recorded LinkedIn Live conversation brings together Rosh Dhanawade, Vice President of Product at Education Analytics; Vijay Gollapudi, Chief Information Officer at the Tennessee Department of Education; and Sayeelakshmi Srinivasan, Technical Programs Manager at the Ed-Fi Alliance, and is moderated by Marlena Holden, Director of Brand and Communications at Education Analytics. They come together to explore what it takes to move beyond implementation and start driving results with data.
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LinkedIn Live Webinar: You've Modernized Your Data System—Now What? Turning Implementation Into Impact