Category: Tag: CODAP
It’s impossible to overstate the importance of getting more students and teachers working with data across all subject areas. Name a problem we face as a society—from combating global warming to feeding the growing population, reducing violence, and increasing equity—and data-savvy people are at the heart of any attempt at a solution. The Concord Consortium, […]
Bill Finzer and Sherry Hsi will both present at the EdSurge Fusion Conference in Burlingame, California, near our Emeryville office. The Common Online Data Analysis Platform—Getting more students in more classrooms to do more with data William Finzer Thursday, November 2 12:00 – 1:00 PM CODAP is a free web-based data tool designed as a […]
In August 2017, Hurricane Harvey evolved from a series of thunderstorms to one of the first major hurricane landfalls in the United States since early 2005. Right on the heels of Harvey, Hurricane Irma blasted through the Caribbean and onto the U.S. mainland, striking Florida in early September. The National Oceanic and Atmospheric Administration (NOAA), […]
Common Online Data Analysis Platform (CODAP) provides an easy-to-use web-based data analysis platform that can be incorporated across the curriculum to help students summarize, visualize, and interpret data, advancing their skills to use data as evidence to support a claim.
All data science game scenarios follow a similar design: students take context-specific actions in the game. They store their data, organize it, analyze it, and visualize it in the surrounding CODAP environment.
Michigan State University and the Concord Consortium are collaborating to examine how to support secondary school students in constructing and revising models based on disciplinary core ideas and crosscutting concepts to explain scientific phenomena.
Check out our newly revamped CODAP website! We hope you like our new CODAP website, which is designed to make it easier to find information about CODAP and data science education. In particular, we hope you like the design which, is more modern and is intended to be easy to navigate. We wanted a new […]
Thank you to the fantastic crowd at Cyberlearning 2017 who attended our Data Science Education Meetup at Mussel Bar and Grill on Tuesday night. The Meetup provided an opportunity for members of the Cyberlearning community to discuss innovative ways that we could implement data science education into research and curriculum development, to address NSF’s 10 […]
Over 100 thought leaders from organizations around the U.S. and four continents gathered from February 15 to 17 to generate important innovations needed in technology and teaching and learning at the Concord Consortium’s first Data Science Education Technology conference. Senior researchers, educators, and scientists from as far as Nigeria and New Zealand convened at the […]
We are proud to announce the Data Science Education Technology (DSET) Conference to be held February 15-17, 2017, at the David Brower Center in Berkeley, CA. Over 100 thought leaders from a range of organizations, including UC Berkeley, TERC, EDC, Desmos, SRI, Exploratorium, New York Hall of Science, Harvard’s Institute for Applied Computational Science, Lawrence […]