From Proof of Concept to Platform: Testing the RPPL Visualizer for Eureka Math² Implementation Health Data
Tools
White paper documenting a six-month proof-of-concept project testing whether the RPPL Visualizer could support a Eureka Math2 implementation health dashboard using walkthrough observation and curriculum-embedded assessment data.
Resource links lead to an external website.
PURPOSE / ABSTRACT
This white paper documents a six-month, AIMS-funded proof-of-concept project in which the EdPolicy Hub and Center for Applied Research in Education at the University of Southern California, Great Minds, Riverside Unified School District, and the University of Pennsylvania explored whether Research Partnership for Professional Learning’s web-based Visualizer tool could serve as a durable platform for Great Minds’ envisioned Eureka Math2 Implementation Health Dashboard.
The prototype integrated walkthrough observation data from all 11 Riverside Unified School District Eureka Math2 pilot schools and curriculum-embedded assessment data from 2,638 students in grades three through six.
Developed with AIMS funding, the Visualizer is a web-based tool designed to help practitioners, product developers, and researchers make timely, research-aligned use of curriculum implementation and professional learning data. It transforms data collected from common tools, such as Google Forms or Qualtrics, into a standardized format and supports exploration through interactive dashboards and visualizations.
The platform also includes AI-generated narrative summaries, an LLM-driven Ask the Data feature, and trend-based forecasting through an Oracle feature.
CITATION
University of Southern California, University of Pennsylvania, Great Minds, LLC, & Riverside Unified School District. (2026). From Proof of Concept to Platform: Testing the RPPL Visualizer for Eureka Math2 Implementation Health Data.
PROJECT TEAM / LEARNING PARTNER
Great Minds: Expanding Quality Signals and R&D Infrastructure
WHO THIS IS FOR
Developers, Educators, Researchers
GRADES
All Grades
AREAS RESEARCHED
Platform/Program, Implementation/Context, Data use, AI
