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....

What Do You Meme? Students Communicating their Experiences, Intuitions, and Biases Surrounding Data Through Memes

Memes have become ubiquitous artifacts of contemporary digital culture that integrate visual and textual components in order to communicate about a topic. They can be used as forms of visual argumentation that draw on cultural references while facilitating critical commentary that typically results in humorous and caustic dialogue. In this paper, we investigate the meme creation tool, DataMeme where middle school students explore graphs then construct GIFs using existing Gyphy GIFs and overlay their own text onto them in order to communicate about the meaning behind the data.

”I happen to be one of 47.8%”: Social-Emotional and Data Reasoning in Middle School Students’ Comics about Friendship

Effective data literacy instruction requires that learners move beyond understanding statistics to being able to humanize data through a contextual understanding of argumentation and reasoning in the real-world. In this paper, we explore the implementation of a co-designed data comic unit about adolescent friendships. The 7th grade unit involved students analyzing data graphs about adolescent friendships and crafting comic narratives to convey perspectives on that data.

WeatherX Curriculum

The WeatherX project has developed two curriculum units for middle-school science classrooms. In the Local Unit, students collect and analyze weather data from their local area and compare with climate data to investigate: What is typical weather for our area? In the Mt. Washington Unit, students compare extreme weather in their local area and on New Hampshire's Mount Washington to investigate: What is extreme weather?

 

Building toward Critical Data Literacy with Investigations of Income Inequality

To promote understanding of and interest in working with data among diverse student populations, we developed and studied a high school mathematics curriculum module that examines income inequality in the United States. Designed as a multi-week set of applied data investigations, the module supports student analyses of income inequality using U.S. Census Bureau microdata and the online data analysis tool the Common Online Data Analysis Platform (CODAP).

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