Using Observing System Data in STEM Education

The STEM (science, technology, engineering, and mathematics) community is implementing several new observation systems that rely on sensor technology. With this revolution, the need to educate more science and engineering technicians to work (design, assemble, deploy, troubleshoot and communicate) with sensor networks and meet workforce demands will rise quickly in the near future. The incorporation of technology-enabled systems, tools and services into curricula is critical to addressing these training needs and improving STEM skills. This paper discusses a list of key factors that must be considered by scientists, in order to make their data suitable for public and educational consumption, and also by educators when considering the needs of teachers and classrooms in making use of this information.