Data Puzzle Project: Integrating Authentic Data & Ambitious Science Teaching Practices

Teachers have expressed a desire to incorporate authentic scientific data into their curricula, but they struggle to find accessible and meaningful datasets that can be easily integrated into modern teaching practices. In response to this problem, climate scientists and instructional specialists from the University of Colorado Boulder have collaborated to create "Data Puzzles," a free resource that utilizes instructional practices as outlined by Ambitious Science Teaching (AST) to engage students in data analysis in the context of important scientific research. Data Puzzles challenge students to analyze and interpret climate datasets to create explanatory models for important questions like, "What is causing the megadrought in the Colorado River Basin?"

In this session, participants will be introduced to AST practices and authentic climate datasets as they engage with a Data Puzzle and leave prepared to facilitate Data Puzzle resources in their own classrooms.

Presenters:
Dr. Melissa Braaten, Associate Professor, STEM Education, University of Colorado Boulder
Jonathan Griffith, Education and Outreach Associate, CIRES, University of Colorado Boulder

Видео Data Puzzle Project: Integrating Authentic Data & Ambitious Science Teaching Practices канала American Geosciences Institute