This Project Grant award for $1,487,350.00 from the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program will engage approximately 500 high school students and 25 teachers from underserved communities in Florida, Kansas, and Texas in the design and application of AI-enabled smart, embedded technologies. The project aims to broaden access to microelectronics and AI education, fostering engineering identity development and preparing students for STEM careers. The...
This $354,936 federal Project Grant award from the National Science Foundation's Division of Research on Learning in Formal and Informal Settings (DRK-12 program, CFDA 47.076) aims to engage approximately 500 high school students and 25 teachers from under-resourced communities in the design and application of AI-enabled smart, embedded technologies. The project will develop an accessible high school curriculum that integrates computer science and engineering using the contexts of...
This $349,999 Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) will support a research project at the University of North Carolina at Chapel Hill (UNC-CH) to investigate how to design and integrate artificial intelligence (AI) to support equitable K-12 science education. The project plans to explore the use of multimodal AI to provide automated feedback for formative science assessments, with the goal of generating design principles to develop...
This $385,921 project grant from the National Science Foundation's STEM Education program (CFDA 47.076) will support the development and research of an AI Across the Curriculum program at North Carolina State University. The interdisciplinary team will create introductory and advanced modules integrating artificial intelligence concepts into existing high school mathematics, English language arts, and history curricula. They will also develop a 60-hour professional development program to train...
This National Science Foundation (NSF) Engineering (CFDA 47.041) award provides $400,000 over 3 years to Northeastern University to develop and implement a professional development program for high school STEM teachers focused on incorporating generative AI into their classroom instruction. The program will recruit 10 teachers per year, prioritizing those serving underrepresented students, and provide intensive summer training supplemented by monthly collaborative meetings and ongoing content...
This federal Project Grant award of $812,312, awarded by the National Science Foundation's (NSF) STEM Education program (CFDA 47.076), aims to develop learning trajectories and educational resources to support middle and high school students' understanding of artificial intelligence (AI) concepts. The key products and services to be delivered under this grant include: Designing and pilot testing learning activities and assessments targeting challenging AI concepts based on the developed learning...
This $199,999 Project Grant was awarded by the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program. The grant supports the development and evaluation of an age-appropriate, career-driven AI educational program in smart manufacturing for 50 high-school students from underserved Alabama school districts. Key program components include: Creation of AI learning modules focused on the fused filament fabrication (FFF) additive manufacturing process, incorporating real-time...
This $199,503 Project Grant awarded by the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program will fund a large-scale, mixed-methods study to understand perceptions and use of artificial intelligence (AI) technologies in K-12 education. The one-year project will survey a nationally representative sample of parents, teachers, and youth to identify opportunities, risks, and supports needed for integrating AI-driven learning tools. The study will employ both...
This three-year, $516,058 project grant from the National Science Foundation's STEM Education program (CFDA 47.076) will fund the development of artificial intelligence (AI) curriculum modules integrated across high school core subjects and a professional development program for teachers. Led by the Concord Consortium, the project team which includes Carnegie Mellon University and North Carolina State University, will create a two-hour introductory AI module and three five-hour...
The National Science Foundation (NSF) awarded a $199,994 Project Grant through the STEM Education (CFDA 47.076) program to The Leland Stanford Junior University to explore how high school youth, particularly those from historically marginalized communities, interact with and learn about generative AI and machine learning tools. Over a one-year period, the researchers will pilot classroom and extracurricular activities, collect quantitative and qualitative data, and analyze findings to develop...
This National Science Foundation (NSF) project grant under the STEM Education (CFDA 47.076) program provides $185,496 to the University of North Texas to engage approximately 500 high school students and 25 teachers from under-resourced communities in the design and application of AI-enabled microelectronics technologies. The goal is to develop a high school curriculum that integrates computer science and engineering using microelectronics and AI as the context, in order to prepare students for STEM careers and broaden participation in these fields. The project will involve classroom observations, student/teacher/parent interviews, surveys, and learning assessments to study the impacts of an altruism-informed approach on student motivation and conceptions of edge AI and microelectronics. The research aims to contribute new data for building theories on using altruism as a framework for supporting engineering education and negotiating engineering identities. All curriculum materials and resources will be openly disseminated to broaden access and inspire the next generation of AI practitioners. The project period runs from September 2024 through August 2027.