Educators

Ocean Tracks: High School Learning Modules

Supporting students' work with authentic data requires a carefully developed and rigorously-tested curriculum to help them understand what the data represent, and to guide them in how to use data analysis tools and visualizations to identify meaningful patterns and develop evidence-based hypotheses.

Analysis of Spatial Concepts, Spatial Skills and Spatial Representations in New York State Regents Earth Science Examinations

Research has shown that spatial thinking is important in science in general, and in Earth Science in particular, and that performance on spatially demanding tasks can be fostered through instruction. Because spatial thinking is rarely taught explicitly in the U.S...

The Relationship Between Direct and Data-Mediated Knowledge of the World

About 20 years ago, psychologist Lynn Liben presented an model of the relationships among a learner, an external (i.e. not mental) representation, and those aspects of the real world represented by the representation (the “referent”). Liben notes that the learner can learn either through direct interactions with the real world or through interactions with a representation.

Pervasive and Persistent Understandings about Data

This paper describes our current thinking on pervasive and persistent understandings about data

Preparing High School Students for College and the World of Big Data

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 21st 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.

What Do Geoscience Novices Look at and What Do They See When Viewing and Interpreting Data Visualizations?

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.” ...

What precursor understandings underlie the ability to make meaning from data?

(June 2013)

Young children have the ability to reconstruct events based on the traces left behind by those events. Would nurturing this ability help them make meaning from data they did not collect themselves?...

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Students' Use of Physical Models to Experience Key Aspects of Scientists' Knowledge Creation Process

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...

Teaching and Learning with Data

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

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