Relatively little research exists on the use of experiences with physiological sensors to support STEM education. In this work, we draw on techniques from physiological computing and computer science education to explore novel ways to build students' computational thinking skills.
This project is a multiyear study of the impact of an enrichment program that the US National Science Foundation (NSF) managed in the 1990s. The Young Scholars Program (YSP) involved around 18,000 7th–12th grade students and 600 separate grants between 1989 and 1996. The purpose of YSP was to introduce high-achieving middle and secondary school students to science, technology, engineering, and mathematics (STEM) fields to encourage their entry into those fields and thus increase the size and quality of the nation’s STEM workforce.
We will develop a unique community-based ecosystem for teaching high school students about how the intersection between rapidly developing technologies such as data science and machine learning impact critical healthcare decisions. Students will learn and apply technological skills valued for high-paying jobs within our workforce and proving the importance of diversity.
This project aims to adapt the Geospatial Semester for Career and Technical Education in a large urban district through effective teacher professional development and lesson design.
Data Jam engages students in the process of exploring, analyzing, and summarizing long-term data about nearby ecosystems that are the subject of extensive long-term study by LTER.
The World Smarts STEM Challenge is a virtual exchange that supports STEM (science, technology, engineering, and math) education in the United States and Ghana. Middle and high school students from Washington, DC, and senior secondary school students from across Ghana come together virtually to solve global issues in their communities with STEM solutions inspired by the UN Sustainable Development Goals.
This Synthesis project uses meta-analysis and qualitative synthesis to examine the effects of integrating innovative technologies into K-12 STEM education on students’ STEM career-related outcomes, and if and in what ways intervention characteristics and educational settings moderate these effects.
The ongoing COVID-19 pandemic provides a starting point for empowering young people to understand uses of data science through epidemiology. Through this program, 650 plus underserved youth nationwide have engaged in a 20-hour out-of-school multimedia "Data Detectives Clubs" centered on a project-developed adventure novel, The Case of the COVID Crisis, which is integrated with data activities, modeling, animations, and career exploration.
Our project aims to promote middle school-aged girls' data science learning and interests through informal gameplay. We are designing a data-rich, multiplayer virtual world to support players in working with their own gameplay data as a resource for pursuing personally meaningful goals.
The New Hampshire Academy of Science ITEST grant began Sept. 1, 2022 and will enable wrap-around programming to provide underrepresented students in underserved rural communities with scientific research experiences along with mentorship and college prep throughout high school, starting at each grade level. We are currently developing recruitment strategies for our first two cohorts.