Citizen-Science Project to Help NASA Train Machines
Students can become Feature Hunters and help NASA researchers create a machine-learning algorithm to identify surface features in photographs of Earth taken by astronauts in space. NASA has more than 3 million astronaut photos of Earth, many of which have not been examined. Students can help identify glaciers, volcanoes, cities, islands, and more by drawing boxes around them in the photos. Their input will then be used to help train machine-learning models to identify the same geographic features in other NASA astronaut photos of Earth. When the machine-learning models are trained, they will be used to automatically examine millions of photos. An online tutorial explains how students can help identify Earth’s features.
The EcoTarium offers interactive, educator-led programs aligned to current science standards. Children in prekindergarten through grade 8 can join an EcoTarium educator live on Zoom and engage in science explorations on topics such as Animal Adaptations and Understanding Weather.
The Oceans of Data Institute began as an initiative of the Learning and Teaching Division at Education Development Center (EDC). Over three years, the institute’s Preschool Data Collection and Analysisproject created and tested problem-solving activities for young children.
Veative‘s 3D, virtual, augmented, and mixed reality educational technologies and content enhance learning experiences in K–12 and higher education. The content is adapted to suit all classrooms, curricula, and languages.