NoRILLA (novel research-based intelligent lifelong learning apparatus) is a mixed-reality system that combines physical and virtual worlds to improve children’s STEAM learning in an enjoyable and collaborative way. Based on scientifically proven research at Carnegie Mellon University, NoRILLA’s specialized AI algorithm tracks what students are doing in the physical environment and provides personalized interactive feedback to children as they experiment and make discoveries in the real world. EarthShake, the first educational game for the NoRILLA system, teaches early physics principles through hands-on learning. A table provides earthquakes, and students make predictions about which tower will stay up longer. The supporting technology can detect how the towers fared during the quake, and the game’s cartoon gorilla gives students appropriate feedback to understand the underlying principles. NoRILLA can be used to teach STEAM concepts such as inquiry, balance and stability, geometry, symmetry, volume, ratio, and scientific curiosity, as well as critical thinking skills. Educators can sign up on the website for updates.
The education team of the National Oceanic and Atmospheric Administration (NOAA) offers innovative online materials that enlighten students and educators about the breadth of scientific research, technology, and activities. These resources include student activities, case studies, tutorials, and lesson plans for education audiences of all ages.
LEGO Education’s new SPIKE Prime Set is a STEAM learning tool for students in grades 6–8. Combining colorful LEGO building elements, easy-to-use hardware, and an intuitive drag-and-drop coding language based on Scratch, SPIKE Prime continuously engages students through playful learning activities to think critically and solve complex problems, regardless of their learning level.
The Mini Urban Challenge RVW is a virtual simulation based on a national competition sponsored by The Doolittle Institute, the Air Force Research Laboratory, and Special Operations Command. The purpose of this competition is to design and program a robotic vehicle that can autonomously navigate a mini-urban city, using a virtualLEGO MINDSTORMS EV3 robot.