We shine a light on our partners, the work we've done across the country, and insights from our team members.
Education Analytics, a mission-driven non-profit that uses data and analytics to improve outcomes for students and the education system, announced today that they have earned another badge from the Ed-Fi Alliance for a new data warehouse product, Stadium. Stadium is a hosted implementation of EA’s Ed-Fi data warehouse product, Enable Data Union (EDU), which enables education agencies to leverage interoperable data for analytical uses.
Fostering teacher innovation through classroom research: The design of Strategy Workshop, a new software application
How do we help foster teacher innovation? In this blog, we highlight how an exciting new software application paired with a model for teacher action research enables teachers to identify evidence-based instructional strategies, test them out in their classroom, and use data to determine if they really make a difference in student achievement.
Education Analytics takes another step forward towards delivering seamless data for school districts
Education Analytics, a mission-driven non-profit that uses data and analytics to improve outcomes for students and the education system, announced today that they have earned a renewed Ed-Fi Managed ODS/API Platform Badge for another two years. This badge once again validates Education Analytics as a trusted partner for providing the Ed-Fi Operational Data Store and API (ODS/API) through its StartingBlocks product, a robust Software as a Service (SaaS) product offering.
Supporting COVID recovery: Strengthening state capacity to identify evidence-based improvement strategies
Through the Wisconsin-Minnesota Comprehensive Center – Region 10, EA has partnered with the Wisconsin Department of Public Instruction to provide support to districts in developing plans to use COVID-19-related funding to implement evidence-based improvement strategies.
Sometimes our partners cannot access student-level data. In this blog, we detail how EA maintains a robust data system of publicly available data and how we create custom reporting to provide data-driven insights for our partners.
In this blog, we establish core principles for conceptualizing data interoperability as transport, including how decentralized governance models enable local control over data in ways that maximize privacy and security. We introduce the concept of "data neighborhoods" as a metaphor for this interoperability model, and we connect different kinds of context around educational data to the core principles.