Project Grant 2336683

Award Date 10/1/24
Completion Date 9/30/27
Dollars Obligated $750K
Funding Federal Agency
National Science Foundation
Federal Grant Program
47.076
Assistance Type
Project Grant
Place of Performance
Richmond, VA 23284, USA
Similar Awards
This National Science Foundation (NSF) Scholarships in Science, Technology, Engineering, and Mathematics (STEM) Education program (CFDA 47.076) grant award of $1,997,177 to Virginia Commonwealth University (VCU) aims to increase the retention and graduation of high-achieving, low-income computer science students through a comprehensive support program. Over 6 years, the funding will provide scholarships to 54 full-time transfer students pursuing bachelor's degrees in computer science, along...
The Virginia Commonwealth University was awarded a $300,000 Project Grant from the National Science Foundation Division of Undergraduate Education under the STEM Education (CFDA 47.076) federal grant program. The three-year award will support the development of personalized secure programming learning projects motivated by real-world security vulnerabilities. Specifically, the university will map secure programming curriculum topics to categories of real vulnerabilities, build easy-to-use...
This Project Grant award from the National Science Foundation's STEM Education (CFDA 47.076) program provides $1,300,000 to the University of Virginia to develop low-cost, adaptable physical computing tools such as robots to provide equitable opportunities for elementary and middle school students to learn computer science (CS) skills and concepts. The project aims to investigate how these educational robots can help students develop CS understanding and executive functioning skills, while...
This $1.5 million Project Grant from the National Science Foundation's STEM Education program (CFDA 47.076) will support the development of an innovative learning ecosystem to teach high school students machine learning concepts and data science skills in healthcare. The East Bay Educational Collaborative will receive funding from August 2022 through October 2025 to create a data science and machine learning laboratory course for up to 1,000 Rhode Island high school students, with a focus on...
This Project Grant from the National Science Foundation's Division of Undergraduate Education, under the STEM Education (47.076) federal grant program, provides $444,348 to Virginia Commonwealth University to develop a digital platform and classroom strategies for improving undergraduate STEM students' professional skills. The three-year award beginning in March 2023 will support creating a digital platform pre-loaded with customizable rubrics from the prior NSF-funded Enhancing Learning by...
Virginia Commonwealth University was awarded a $295,004 Project Grant from the National Science Foundation under the STEM Education program (CFDA 47.076). The grant will fund research to build a STEM ecosystem for underrepresented middle school students in the Tri-City area of Virginia through profiling analyses, asset mapping, and ecosystem assessments from 2023 to 2025. Specifically, the University will apply latent profile analysis and social network analysis to investigate STEM efforts...
The National Science Foundation (NSF) awarded a $748,680 Project Grant under the STEM Education program (CFDA 47.076) to the Colorado School of Mines. The goal of this 3-year project is to develop an AI-driven software platform that will provide students with personalized virtual teaching assistant (VTA) support in large STEM classrooms. The system will integrate educators' materials and rules to guide large language models in producing tailored responses aligned with course content and...
This $200,000 Project Grant award from the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program aims to integrate accessible, hands-on Artificial Intelligence (AI) learning activities into existing computer science (CS) curricula. The project, led by the Georgia State University Research Foundation Inc., will develop a series of experiential learning modules that demystify AI concepts and algorithms for undergraduate CS students. The goal is to enhance AI literacy,...
The Rochester Institute of Technology was awarded a $671,070 project grant from the National Science Foundation under the federal STEM Education program (CFDA 47.076) to develop online laboratories for computer science students. The three-year grant, awarded October 1, 2021 and set to be completed by September 30, 2024, will support the collaborative research project titled "Developing Online Laboratories for Computer Science Students to Learn How to Build Accessible Software and to Use...
This $900,000 Project Grant awarded by the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program supports the development and evaluation of an AI-based learning support system that will automatically customize course content to match the learning needs and interests of individual students in large university settings. The goal is to improve student learning and address equity in higher education by providing personalized educational materials at scale. The core...

This Project Grant award from the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076) provides $750,000 to Virginia Commonwealth University (VCU) to develop an undergraduate program that uses a "living lab" approach to enable students to learn how to create and maintain intelligent systems for the health domain. The project will integrate this living lab into VCU's computer science undergraduate curriculum, allowing students to complete a one-year curriculum focused on engineering of intelligent health systems and receive a certificate, while also gaining practical experience working on supervised projects in the living lab. The research component of the project will study the effectiveness of the living lab model for undergraduate STEM education and the benefits of experiential learning activities in the education of intelligent health systems. This award aims to help address the shortage of qualified professionals who can create and maintain intelligent systems for the health domain and serve as a national model of multidisciplinary STEM undergraduate training in artificial intelligence systems for the health field.

Generated 4/8/25, 4:59 AM