Category: Data Science Education
The Next Generation Science Standards (NGSS) describe eight science and engineering practices with the goal of having students engage in authentic science practices. Although many teachers are committed to three-dimensional NGSS teaching, doing so remotely during a pandemic was challenging, especially with 20, 30, or more students on Zoom, and without access to labs. At […]
The ongoing COVID-19 pandemic is providing an unprecedented amount of health and social science data, and serves as a compelling starting point to engage in data science activities. A new project funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program at the National Science Foundation is designed to empower young people to […]
This year we published a dozen articles in researcher and teacher practitioner journals that showcase the state of the field in STEM educational technology in 2020. Learn what students with low and high spatial skills notice in computer visualizations of plate tectonics (#2), how students can experience authentic messy data exploration of meaningful questions (#10), […]
We experience weather every day. And it’s often the easiest icebreaker to start a conversation—“What’s the weather like in your neck of the woods?”—since weather is, well, everywhere! We know a lot about weather, too, thanks to datasets collected by the National Oceanic and Atmospheric Administration (NOAA). The NOAA database includes data from thousands of […]
Twenty-five middle school teachers from Berkeley, Oakland, and the surrounding areas of northern California recently met online as part of a virtual professional learning workshop called “Telling Data Stories: Scientific Data, Student Experience, and Authorship for Social Justice in Middle School Classrooms.” The workshop was offered by the Writing Data Stories project, a collaboration of […]
Let’s face it, three-dimensional teaching takes work. There are disciplinary core ideas (DCI), science and engineering practices (SEP), and crosscutting concepts (CCC) to pack in. A simple new tool may help biology classes reap the benefits of Next Generation Science Standards instruction with big payoffs. If you want to encourage kids to grow plants and […]
We are delighted to announce that our Common Online Data Analysis Platform (CODAP) has earned the Research-Based Design product certification from Digital Promise. The new product certification is intended to serve as a rigorous, reliable signal for consumers, including school administrators, educators, and families looking for evidence of research-based educational technology products. CODAP is easy-to-use […]
The year 2019 was a very special one for the Concord Consortium and we’re delighted to present the year in review with our top 10 news stories!
We’re making an impact with 12 publications in researcher and teacher practitioner journals that showcase the state of the field in STEM educational technology in 2019. Learn about a theoretical framework that positions students as data producers rather than merely data collectors (#10), automated text scoring and feedback in Earth science curriculum modules (#3, #12), […]
I’ve been developing data exploration software for decades, having led the Fathom Dynamic Data Software development team at KCP Technologies before joining the Concord Consortium in 2014. And I’ve been steering the development of our Common Online Data Analysis Platform (CODAP) since then, thanks to a grant from the National Science Foundation. Both Fathom and […]