Tag Archives: data science

Data Science Education Technology Conference ready to welcome 100 thought leaders

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 Hall of Science, and Tuva will be in attendance at this groundbreaking event in the emerging field of data science education.

Conference attendees come from 15 states and 6 countries around the world. Map created with CODAP. View the data table and more information about attendees in this CODAP document.

“Data and analytics hold promise for revolutionizing all aspects of learning,” Chad Dorsey, president and CEO of the Concord Consortium, explains. “As we enter a world where practically every decision and moment of the day will connect to data in some way, preparing learners to explore, understand, and communicate with data must become a key national priority.”

The DSET conference addresses these new opportunities by focusing on two strands. The Teaching and Learning strand is designed for those thinking about curriculum development. This strand addresses the pedagogical challenges and opportunities associated with making use of data technologies in educational settings. Sessions will include data-driven learning experiences and discussion of lessons learned by curriculum designers. “It’s an exciting time to design activities to help students be ready for data science in the future,” notes Tim Erickson of Epistemological Engineering.

The Technology strand is designed especially for those with programming experience and focuses on software development. Attendees will build relevant, timely skills and learn to create a web app and increase efficiency. William Finzer, developer of the Common Online Data Analysis Platform (CODAP) at the Concord Consortium, will lead a session on data technology integration with online curricula and moderate a discussion on leveraging open-source software to enhance learners’ experience working with data.

You’re invited to attend the conference as a virtual participant. Registration is free! Join the virtual conference!

Register for the Virtual Conference

Where else can I connect with #dsetonline?

Virtual attendees are encouraged to join the conference backchannel social media conversation that will run concurrently with the face-to-face conference.

New features in CODAP

Our Common Online Data Analysis Platform (CODAP) software provides an easy-to-use web-based data analysis tool, geared toward middle and high school students, and aimed at teachers and curriculum developers. CODAP is already full of amazing features. We’re excited to announce several new features! Continue reading

Building data science fluency using games

The National Science Foundation has awarded the Concord Consortium a three-year Cyberlearning grant to develop and test new data science games for high school biology, chemistry, and physics, and research how learners conceive of and learn with data. The Data Science Games project builds on prior work, which led to the invention of a new genre of learning technology—a “data science game.”

The use of games for education is a growing field with significant promise for STEM learning. Games provide a powerful means of motivation and engagement, and align with many STEM learning goals. Data Science Games is making use of the data generated as students play digital games in a novel and creative way. When students play a data science game, their gameplay actions generate data—data that is essential to the game itself. To succeed at a data science game, students must visualize, understand, and properly apply the data their game playing has generated in order to “level up” and progress within the game. As they visualize and analyze the data, planning and plotting new, evolving strategies, students learn the fundamentals of data science.

The new data science games will be embedded in our open source Common Online Data Analysis Platform (CODAP). Data from the games will flow seamlessly into CODAP thanks to innovations that leverage advances in the interoperability of components embedded in browsers, new capabilities for data visualization using HTML5, and recent innovations in design of interfaces compatible with both PC-based browsers and touch devices.

Project research will investigate ways this new genre of educational technology can be integrated into classroom learning. We will identify and characterize learner perceptions of data, including how learners see flat, hierarchical, and network structures as emerging from realistic problems; questions learners ask with data; and learning trajectories for restructuring and visualization of data.

The project will also produce guidelines for making use of data science games across a range of grade levels and subject matter. Data Science Games will thus provide both models and templates of how to integrate learning of data science into existing content areas, helping to grow the next generation of data scientists.

Data Science Games Play Roshambo against the evil Dr. Markov (log in as guest). If you win, you can save Madeline the dog. Improve your odds by analyzing Markov’s moves in a graph.

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