EO-02. Data Puzzles - Analyzing authentic data with inquiry-based practices

Abstract
Teachers across the country have expressed a desire to incorporate authentic scientific data into their curricula, but struggle to find accessible and meaningful datasets that can be easily integrated into modern teaching practices (e.g., inquiry-based learning). In response to this problem, CIRES scientists and education and outreach associates have collaborated to create "Data Puzzles", a free resource that utilizes instructional practices as outlined by Ambitious Science Teaching to engage students in data analysis in the context of important and relevant scientific research. Data Puzzles challenge students to analyze and interpret datasets to create explanatory models for important questions like, "How might declining sea ice impact the Arctic's albedo?" or "What can the amount of energy coming to and going from the Arctic tell us about Arctic amplification?" In this poster, we'll present the Data Puzzle instructional framework in the context of established Data Puzzles and describe ways that other CIRES scientists can get involved!