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Keynote Address, IBM's Big Data and Analytics EdCon 2013, November 2, Las Vegas

The world is awash with data. This growth of data shows no signs of slowing, and indeed seems to be accelerating. Analyzing data, spotting patterns, and extracting useful information have become gateway skills to full participation in the workforce and civic engagement of the 21^st century. Yet pre-college classrooms are falling short of preparing students for this world. And they’re missing the opportunity to harness the power of big data to transform student learning.

This poster presented the first results from Principal Scientist Kim Kastens’ collaborative grant on “Making Meaning from Geoscience Data: A Challenge at the Intersection between Geosciences and Cognitive Sciences.” ...

This talk was one of a related paper set emerging from a project researching how teachers teach and students learn Earth Science using physical models. Kastens’ contribution was a theory paper exploring how scientists use physical models and computational models to create new knowledge at the frontiers of science...

This talk focused on helping students span the transition from working with small student -collected datasets to large professionally-collected datasets....

This poster was aimed at an interdisciplinary audience who work on all sorts of visualizations across all fields of science and science education. It reports the findings from a study in which we used eye-tracking and video-taped think aloud interviews to study how geoscience novices and experts interpret topographic and bathymetric data visualizations.