K-16 Resources

Type Title
Presentation Oceans of Data Institute: Integrating Data Literacy into Science Education

This PowerPoint was presented at the Cutting Edge Digital Data Workshop in May  2015, and discusses the Oceans of Data Institute's work to-date.

Presentation GMRI Presentation on Ocean Tracks: Investigating Marine Migrations in a Changing Ocean

This presentation was given at the Gulf of Maine Research Institute (GMRI) in February of 2015.

Explore the Powerpoint to learn more about the Ocean Tracks project, including background information, goals, and findings to-date.

Presentation Strategies for supporting students’ explorations of big data

This presentation at AAAS' 2015 Annual Meeting focused on how  teachers and instructional materials can help students transition from working with small, student-collected datasets to large, complex, professionally collected datasets.

Presentation Thoughts on Data Sharing in Geosciences

The Spatial Intelligence & Learning Center convened a small, focused workshop to contemplate the benefits and challenges of establishing a national data archive and data sharing infrastructure for spatial cognition data and associated education data.

Curriculum 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 hypothes

Scientific Publication 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...

White Paper 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”).

White Paper Pervasive and Persistent Understandings about Data

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

Presentation Visualizing Oceans of Data: Using learning research to inform the design of student interfaces to climate data

Presentation at American Geophysical Union Conference in San Francisco, December 2013

Presentation 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

Presentation 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.” ...

Interface/Tool Ocean Tracks Interface

This program is developing and classroom testing a Web interface and data analysis tools that engage students in scientific investigations using data from the Tagging of Pacific Predators (TOPP) Program, NOAA’s Drifter Program, and the National Center for Ecological Analysis and Synthesis.

Book Visualizing Oceans of Data: Educational Interface Design

Large, high-quality online scientific datasets give today’s students the opportunity to work with authentic data and participate in real scientific work. Yet the educational promise of these datasets will not be met without concerted effort.

Essay 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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