Education Analytics Calls for Open-Source and Interoperable Solutions to Transform Public Education
Education Analytics calls on K-12 systems to adopt open-source tools and data standards to harness generative AI and transform public education
His blog, “The Path Forward in Public Education is Open-Source and Interoperable,” underscores the importance of integrating data systems to make generative AI in education a reality. By investing in and building publicly owned, locally controlled and operated, interoperable infrastructure, education systems can bring compatible AI algorithms and tools to school systems themselves, rather than shipping schools’ data out to proprietary companies who can provide those algorithms and tools.
For education technology professionals, district leaders, and policymakers, Dr. Rice’s blog offers actionable insights and a compelling case for embracing open-source solutions. To read the full post and learn more about how to get involved in EA’s efforts to create unified, publicly owned educational data structures and AI tools, visit https://www.edanalytics.org/blog/the-path-forward-in-public-education-is-open-source-and-interoperable.
About Education Analytics
Education Analytics (EA) is a 501(c)(3) non-profit organization headquartered in Madison, Wisconsin. Established in 2012, EA employs more than 120 staff, including data scientists, engineers, implementation staff, and product teams. Our deeply knowledgeable and experienced team provides our partners with multiple core products and services that source, structure, analyze, and display powerful educational data and analytics to improve student outcomes and advance public education.
EA’s central mission is clear: to leverage data and analytics to improve education systems. We collaborate with school districts, states, non-profit organizations, and policymakers to develop robust interoperable data infrastructure that enables rigorous research-grade analytics displayed in dynamic reporting platforms. EA maximizes impact by minimizing costs for partners through the use of open technologies, emphasizing community building across the education field, and prioritizing knowledge sharing.
Marlena Holden
Education Analytics
+1 608-466-4966
mholden@edanalytics.org
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