Initial Publication Date: February 14, 2023

Data Puzzle Project: Integrating authentic data and Ambitious Science Teaching practices to help students make sense of phenomena

Click to view or download the webinar recording (MP4 Video 242.3MB Mar10 23).

Thursday, March 9, 2023

1:00 pm PT | 2:00 pm MT | 3:00 pm CT | 4:00 pm ET


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

Webinar Description:

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.


Duration: 1 hour
Format: Presentations will take place through a Zoom Meeting screen-sharing session. The webinar will be recorded.
Accessing the Webinar: Instructions for joining the webinar will be email to participants the day before the event. Learn more about accessing the webinar.
Questions? Please contact Ashley Carlson ( if you have any questions about this event.

Webinar Organizers:

Aida Awad (NAGT)
Edward Robeck (American Geosciences Institute)
Missy Holzer (NESTA)
Ashley Carlson (NAGT)

With the NGSS Earth and Space Science Working Group