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Session Type: Symposium
The level of data literacy required by our society has risen dramatically in the last 20 years. No significant problems facing us today—income inequality, climate change, terrorism, and spread of infectious disease, to name a few—can be found without people who can interpret and reason about data. The goal of the NSF-funded CODAP (Common Online Data Analysis Platform) project is to address the critical need for data literacy by developing and making widely available a free, online data analysis environment. This symposium includes presentations by curriculum developers and researchers analyzing student interactions with CODAP in classroom pilot tests, and cognitive interviews investigating basic questions about how design features influence learners’ perceptions and interactions with tabular and graphic representations of data.
Design Perspective on the Common Online Data Analysis Platform - William Finzer, The Concord Consortium
Students' Sense-Making Processes as They Interpret and Use Multilevel Data - Joan I. Heller, Heller Research Associates; Clifford E. Konold, University of Massachusetts - Amherst; Nicole Wong; Lina Chopra Haldar, Heller Research Associates
Inquiry Space: Using Graphs as a Tool to Understand Experiments - A. Lynn Stephens, University of Massachusetts; Amy Pallant, Concord Consortium
Ocean Tracks and the Common Online Data Analysis Platform: Student Exploration of Marine Tracking Data in an Online Data Analysis Environment - Randy Kochevar, Education Development Center, Inc.; Amy Busey, Education Development Center, Inc.
Terra Populus: Population and Environmental Data for Students - Katie Genadek, University of Minnesota; Morrison Luke Smith, University of Minnesota; Tracy Kugler, University of Minnesota