Category: Data Science Education
We’re making data science accessible and empowering students to understand and analyze complex data without hours of coding lessons or years of advanced mathematics. A new collection of Dynamic Data Science activities designed for students in grades 9-14 is now available to get students working with data! National Health and Nutrition Examination Survey Data Portal […]
From its founding in 1994, the Concord Consortium has always looked to the future, pushing boundaries and imagining the ways technology can expand and deepen STEM inquiry. Pioneers from the beginning, we continue to experiment with novel ideas, applying current and future technologies in unique ways, generating new collaborations, and leveraging the power of open […]
Six high school mathematics teachers from Massachusetts joined us last fall to pilot test a new curriculum module designed by the Computing with R for Mathematical Modeling (CodeR4MATH) project to facilitate the instruction of mathematical modeling and computational thinking. The CodeR4MATH team (from left to right): Kenia Wiedemann, Jie Chao, Ben Galluzzo, and Eric Simoneau. […]
In 2018, we made an impact with 11 articles published in researcher and teacher practitioner journals that showcase the state of the field in STEM educational technology. Learn how automated scoring during formative assessment can diagnose and enhance students’ argumentation skills (#4), how modeling and simulation on a CAD platform can be used to teach […]
2018 was a banner year for the Concord Consortium and we’re thrilled to present the year in review with our top 10 news stories. We Launched Designing 2030 to Transform the Future of STEM Teaching and Learning. Our new Designing 2030 initiative will transform STEM teaching and learning to reach more students with educational technology.
“There is a time, much greater in amount than commonly allowed, which should be devoted to free and unguided exploratory work (call it play if you wish; I call it work).” – David Hawkins, 1974* We often get a feel for things by messing around with them. When you toss a paper airplane in the […]
Most teachers have a first-year-teaching story. Few have one like Matthew d’Alessio’s. His first teaching experience was at California’s notorious San Quentin State Prison, the largest prison in the country, where he taught math and geology in the Prison University Project, the only college program inside a California prison. “The students were among the most […]
In the midst of the data deluge, data seem to be everywhere. With the advent of ubiquitous Internet of Things sensors, data now seem to be a part of the natural world around us, too. And along with this idea that data exist everywhere, we often say that scientists collect data (think: collecting blueberries, in […]
The cover article of the August issue of The Science Teacher features an intriguing shiver of sharks, data about those sharks and other marine animals, plus the perfect way to get your feet wet with data analysis: Common Online Data Analysis Platform (CODAP) and Ocean Tracks. Bill Finzer, one of the authors of the Science […]
Fifty statistics educators from ten countries gathered on July 10, 2018, in Kyoto, Japan, at the International Conference On Teaching Statistics (ICOTS) for the inaugural data science education Special Interest Group (SIG) organized by Tim Erickson of EEPS Media and William Finzer of the Concord Consortium. The large group included university professors, software developers, curriculum […]