This project aims to increase female interest in science, technology, engineering and mathematics (STEM) careers through the emerging field of soft robotics. Soft robotics diverge from other robotics in that they leverage materials science (understanding how materials stretch and deform), chemistry
Nationwide, middle-school youth from underrepresented communities have few opportunities to engage in authentic STEM investigations that build on the students' intrinsic interests in space science and robotics to increase their interests in both ICT and STEM careers.
The GIS Resources and Applications for Career Education (GRACE) project builds upon a recent NSF-funded project, the Mayors Youth Technology Corps (MYTC), that developed a model of geographic information systems and technology (GIS/T) based education.
In existing CryptoClub after school programs, middle school students use mathematics to make and break secret codes. The CryptoClub website has tools for encrypting, messages to crack, treasure hunts and other activities. In this project, the learning in fifteen Crypto Clubs is extended by having
Uses MATE's underwater robotics competition to engage and support the participation of middle and high school students in STEM. Provides professional development, curriculum, and other resources to teachers. Involves industry professionals and parents.
The STEM Learning and Research (STELAR) Center is the resource center for the NSF ITEST program, housed at Education Development Center, Inc. (EDC) and funded from 2013 to 2019 (formerly the ITEST Learning Resource Center - LRC).
Robotics and GPS/GIS in 4-H: Workforce Skills for the 21st Century is a-five year scale-up project to use 4-H clubs to prepare middle school youth for the STEM workplace. The project builds on and extends an existing research-based ITEST project by developing and testing new national curricula to
This project will enable high school and middle school STEM teachers and students to conduct environmental research aided by the analysis of images from digital cameras, scanners, and the Internet. The project explores how digital image analysis can be applied to environmental quality issues that
Students, teachers, and parents from minority and underserved schools will examine how knowledge of remote sensing, ocean, and climate science influence students interest in and preparation for careers in STEM.
Through residential research experiences for high school students, and comprehensive workshops for science teachers, approximately 2000 students generate and submit genetic data to the International Barcode of Life Initiative.