From local environmental justice issues to global phenomena such as climate change, complex problems often require systems thinking to address them. Since 2018, the National Science Foundation-funded Multilevel Computational Modeling project, a collaboration between the Concord Consortium and the CREATE for STEM Institute at Michigan State University, has researched how the use of our SageModeler […]
In collaboration with Carnegie Mellon University and North Carolina State University, we are designing and researching curriculum modules for secondary math, English language arts, and history to incorporate AI education across the curriculum.
In partnership with EarthScope, the University of South Florida, and the San Joaquin School District, this project fosters the development of computational geoscience identities and career awareness in urban youth using an earthquake risks and impacts curriculum.
Across the Earth, rock is being created, destroyed, and transformed all the time. If you were to witness a volcanic eruption up close, you would see the birth of new rock. While such an eruption results in a dramatic display of Earth’s power, many rock-forming processes are invisible as they take place deep beneath Earth’s […]
In collaboration with the University of Connecticut, we’re designing activities for high school biology students that engage them in computational thinking as they learn how to use electrical signals from their brains to control virtual and real mechanical devices.
With Michigan State University, we are extending a collaborative digital learning environment that embeds the Connected Mathematics Project materials, and using learning analytics to study individual and collaborative problem-based mathematics engagement and learning over time.
Every education project funded by the National Science Foundation (NSF) is subject to flexible yet high expectations for the proposed research. NSF is investing in our ability to develop new technology, new curriculum, and new research that contributes innovative ideas and products to further the field of STEM education. When we are awarded an NSF […]
The everyday work of modern seismologists—the scientists who study earthquakes, hazards, and risks—exists right at the intersection of two NGSS practices: “Analyzing and Interpreting Data” and “Using Mathematics and Computational Thinking.” Seismologists collect huge amounts of data from satellites, remote sensors, and GPS networks in order to monitor Earth’s surface for signs of land movement […]
In collaboration with James Madison University and Northwestern University, we are investigating how learners make sense of spatiotemporal data and how technology-based affordances can support learners in understanding and analyzing spatiotemporal data.
Google “Japanese Internment data” and you’ll find thousands of links. There are sites dedicated to Japanese culture, ancestry, and history, plus government records, university departments, museums, and public television stations with scores of information. There are even sites devoted to finding other sites with links to data. I recently found myself, like Edgar Allan Poe, […]