Data Literacy

Preparing Students for a Data-Rich World

This slide deck was presented at East Bay Educational Collaborative Professional Development Center in Warren, Rhode Island on April 12, 2016 where Ruth Krumhansl was a guest speaker. In addition to this presentation, Ruth also led several workshops on EDC Earth Science. The audience was about 45 teachers from all across New England.

Learn more about the workshop.

Building Global Interest in Data Literacy: A Dialogue-Workshop Report

What does it mean to be data literate in the world of “big data”? What should we be teaching students to better prepare them to participate in today’s workforce and society? What steps need to be taken to develop critical data literacy skills in schools? To seek answers to these questions, EDC’s Oceans of Data Institute (ODI) convened an expert panel of both data analysts and educators for a workshop on data literacy.

Visualizing Oceans of Data: Ocean Tracks – A Case Study

In 2013, the Oceans of Data Institute (ODI) released Visualizing Oceans of Data: Educational Interface Design report, which offers a set of guidelines for designing interactive tools to engage students with data. ODI applied these guidelines during the development of Ocean Tracks, an online interface that enables students to explor

Big Data, Big Promise

Ruth Krumhansl, Founder of the Oceans of Data Institute (ODI), describes all the ways big data is changing lives today, the challenges that big data brings, and why ODI is working to transform education to include more data-relevant instruction.

"Data will be part of [student's] future and it should be part of their instruction too".

 

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.

Ocean Tracks: High School Learning Modules

Ocean Tracks: Investigating Marine Migrations in a Changing Ocean has piloted several models of curriculum supports to guide student work with data regarding the movements of marine animals and relate these movements to physical oceanographic measurements such as sea surface temperature, chlorophyll, currents and human impacts....

Investigating Immigration to the U.S.: Module Overview and Sample Lessons

The Investigating Immigration to the U.S. module focuses on describing, comparing, and making sense of categorical variables. Students investigate questions such as: Are there more immigrants in the U.S. today than in previous years? Where have immigrants to the U.S. come from, now and in the past? Are immigrants as likely as the U.S. born to be participating in the labor force, after adjusting for education?

Investigating Income Inequality in the U.S.: Module Overview and Sample Lessons

The Investigating Income Inequality in the U.S. module focuses on describing, comparing, and making sense of quantitative variables. Students deepen their understanding of this content by investigating questions such as: How have incomes for higher- and lower-income individuals in the U.S. changed over time? How much income inequality exists between males and females in the U.S.? Does education explain the wage gap between males and females?

Building Statistical Thinking with Social Justice Investigations and Social Science Data

This poster provides an overview of the Strengthening Data Literacy across the Curriculum (SDLC) project, which is developing and studying curriculum modules for non-AP high school statistics classes to promote interest and skills in statistical thinking and data science among diverse high school populations. This early-stage design and development project aims to engage students with data investigations that focus on issues of social justice, using large-scale socioeconomic data from the U.S. Census Bureau and student-friendly online data visualization tools.

Webinar Recording & Slides: Tools for Building Big Data Career Pathways at Community Colleges

On July 8, we presented our Tools for Building Big Data Career Pathways at Community Colleges in an AMATYC webinar. Our presenters shared how they used the tools developed by our NSF-funded project Creating Pathways for Big Data Careers at their institutions to create data courses and programs.

Presenters:

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