Category: Focus Area: Data Science Education
We’re scaffolding students as they engage in mathematical modeling with the M2Studio learning environment that integrates and extends CODAP and SageModeler, and provides a canvas for student agency and creativity.
Michigan State University and the Concord Consortium are collaborating on MothEd to design, implement, and test curricular materials and educator supports that give elementary and middle school learners agency in decision-making while they explore the ecology of local moths.
Using AI and literacy-based approaches, StoryQ is creating inclusive learning experiences and preparing diverse youth for the future.
The Watershed Awareness using Technology and Environmental Research for Sustainability project project teaches a systems approach to problem solving through hands-on, inquiry-based learning activities based on real national and local data to explore local watershed issues.
CodeR4MATH aims to infuse computational thinking into math classrooms through a web-based learning platform that integrates R computing resources, math modeling activities, automated assessment and tutoring, and teacher professional development resources.
Common Online Data Analysis Platform (CODAP) provides an easy-to-use web-based data analysis platform that can be incorporated across the curriculum to help students summarize, visualize, and interpret data, advancing their skills to use data as evidence to support a claim.
InSPECT is integrating novel technologies and computational thinking practices into curricular activities that allow high school students to undertake authentic and independent science investigations in biology.
All data science game scenarios follow a similar design: students take context-specific actions in the game. They store their data, organize it, analyze it, and visualize it in the surrounding CODAP environment.
Inspiring meaningful data exploration