Craig Beaulieu has set a goal for this school year: to wear a different tie dye shirt every day. He’s on target so far. “As teachers, I feel that we teach in Neverland,” he says. “It is the adults that are getting older while all the children remain in the same age range.” He believes teaching helps him stay young at heart and live a fulfilled life. Wearing colorful shirts to school may help, too.
From its beginning, we at the Concord Consortium have advocated for the notion that young people can produce high-quality, meaningful data to answer real questions. More than 20 years ago, Concord Consortium founder Robert Tinker sketched a compelling vision for authentic science in schools and communities, making the case that anyone can be a scientist. […]
Find out how high school students can design and evaluate efficient and affordable solar power systems—even for their own school—in the November/December 2018 issue of The Science Teacher. Co-authored by Concord Consortium researchers Jie Chao, Charles Xie, and Corey Schimpf, with education consultants Joyce Massicotte and Jeff Lockwood, and Stoughton High School science teacher Craig Beaulieu, […]
Four students head to the local park to play cards or Bananagrams on their lunch break. For the rest of the day, they sit quietly around a circular table in our Concord, Massachusetts, office, their computers practically touching around the tight space. Some with ear buds in, they are all focused intently on their screens, […]
Fig. 1: An Energy3D model of the SAS solar farmFig. 2: Daily production data (Credit: Xan Gregg)SAS, a software company based in Cary, NC, is powered by a solar farm consisting of solar panel arrays driven by horizontal single-axis trackers (HSAT) with…
SimBuilding is an interactive, intelligent environment in which learners are immersed in scenarios that mimic situations they would encounter in real workplaces. Personalized tutoring is provided based on analyzing learner behavior.
SmartCAD, a computer-aided design system with embedded computational engines, analyzes student design artifacts on a scientific basis and provides automatic formative feedback in numbers, graphs, and visualizations to guide student design processes on an ongoing basis.
Before interning with senior scientist Charles Xie this summer, Maya Haigis had no idea how many solar panel manufacturers there are—“There’s a ton!” A data science major at the University of Rochester, Maya put her analytic skills to work at the Concord Consortium collecting data on solar panels (dimensions, weight, maximum wattage, etc.) and designed […]
We’re developing sophisticated process analytics to make sense of the large quantity of student data associated with complex, open-ended engineering design tasks.
Schools have plenty of roof space that can be turned into small power plants to provide electricity to students. Many schools have already taken actions. Some teachers even use the subject matter in their teaching. But in most cases, students are not profoundly involved in solarizing their own schools. Fig. 1: Google Map 3D vs. […]