Category: Data Science Education
We are delighted to announce two Tinker Fellows in 2025. The theme for this year’s Robert F. Tinker Fellows Program, which aims to promote innovation, creativity, and cross-disciplinary conversations, focuses on innovations in artificial intelligence, data science education, and STEM models and simulations. Devan Walton plans to develop a prototype interface that reimagines how students […]
From climate reports to historical datasets about income or education level, data influences how we understand and interact with the world around us. While math and science classrooms often shoulder the responsibility of teaching data skills, social studies classrooms are uniquely positioned to offer a context-rich and interdisciplinary approach to data literacy. At its core, […]
A number of innovative projects at the Concord Consortium are helping students develop AI literacy, converse and collaborate with AI, and use AI as a learning and communications tool. We’re helping students develop AI literacy and interest in AI-related careers. We’re partnering with the University of Florida, Texas Tech University, WestEd, and Florida Virtual School […]
Jacob Sagrans is Senior Research Associate at Tumblehome, Inc., and a consultant on data science projects. We are excited to announce that CODAP now has a new website! Special thanks go to Doubleberry for designing this beautiful site. We encourage you to explore the many enhanced resources the CODAP website now offers. As part of […]
Leticia Perez is a Senior Professional Learning Specialist at WestEd. Frieda Reichsman is a Senior Research Scientist at the Concord Consortium. Headlines make the news all the time warning of warmer winters, changing seasonal patterns, life-threatening heat, or alternately dangerous freezing conditions. Whether you’re in Massachusetts or California, or somewhere in between, nearly everyone has […]
Tim Erickson is an educator focusing on mathematics, physics, and data science; a consultant on several data science projects; and the author of Awash in Data. Not long ago, I wrote a blog post about using the scrambler to do randomization-based inference. In that post, I suggested that we could also do traditional inference in […]
Tim Erickson is an educator focusing on mathematics, physics, and data science; a consultant on several data science projects; and the author of Awash in Data. CODAP is great for exploring data. You can make graphs and do cool data moves, such as filtering, grouping, and summarizing your data. You can download data from public […]
The WATERS (Watershed Awareness using Technology and Environmental Research for Sustainability) project recently ended with a Master Teacher Workshop at our Concord office for selected teachers who participated in the National Science Foundation (NSF)-funded research with excellence and enthusiasm. The goal of the workshop was to exchange best practices for teaching the now freely available, […]
We are delighted to announce that Bridget Druken has been awarded our Robert F. Tinker Fellowship for 2024. Describing her background, Druken begins, “I loved all my classes and subjects in high school.” She then adds, “but really admired my math teachers.” She smiles as she runs down their list of names. She credits one […]
The CODAP website has a growing library of CODAP help resources aimed at highlighting handy features and improving your CODAP experience, so you can do even more with data exploration and visualization. Below you’ll find a sample of recent CODAP help resources and some additional CODAP features you may not have known about. Read on to […]