Project Grant P120A230009

This three-year Project Grant from the National Science Foundation's Computer and Information Science and Engineering program totals $749,654 to develop an intelligent immersive learning environment for robotics education. Florida International University will research, develop and test an AI-assisted adaptive learning system delivering an industrial robotics curriculum through virtual reality. Key innovations include adaptive intelligent tutoring, AI-coaching detecting learner failure patterns,...

The University of Rochester received a $732,923 National Science Foundation Project Grant under the STEM Education (formerly Education and Human Resources) federal grant program (CFDA 47.076) to develop embodied learning technologies for K-12 machine learning education. The five-year project beginning July 2023 aims to provide hands-on, collaborative learning experiences using 3D and tangible interaction technologies to help students understand abstract machine learning concepts. A pedagogical...

This $1,192,951 federal Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will fund a 3-year program to provide 15 high school teachers and 60 high school students, primarily from underrepresented and rural communities in Mississippi, with innovative learning experiences in machine learning and computer vision. The project aims to develop the AI/ML competencies of these students and prepare them for potential careers in artificial intelligence and...

This National Science Foundation (NSF) Project Grant awarded to North Carolina State University (NC State) under the STEM Education (CFDA 47.076) program will develop new technologies to improve student learning in machine learning (ML) education. The $226,873 award, effective October 1, 2023 through September 30, 2028, will create automated algorithms to generate personalized feedback, hints, and examples to support students in designing effective ML models, implementing them in code, and...

This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program, CFDA #47.070, provides $253,618 to Michigan State University from October 1, 2022 to September 30, 2025. The funding supports research into collaborative reinforcement learning approaches for multi-robot systems that ensure safety and privacy protection. The researchers will develop a model-enabled technique combining model-based safety with model-free reinforcement learning,...

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 $127,000 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will support the development of a comprehensive educational program at Rutgers, The State University to address security vulnerabilities in artificial intelligence (AI) and machine learning (ML) systems. The key products and services to be delivered under this 3-year award include: Creating a practice-in-the-loop learning experience for students to understand the security of ML models in...

This three-year, $300,000 project grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support the development of new algorithms and computational methods for trustworthy machine learning via bi-level optimization. The grantee, Michigan State University, will advance the theoretical understanding and practical implementation of robust and fair deep learning....

The National Science Foundation awarded $295,563 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to the University of Rochester. This two-year Project Grant will support the development of a novel programming-free and visual-based machine learning environment to enable high school students and teachers with limited data skills to discover complex scientific phenomena through pattern analysis of real-world data. Key activities include creating the...

The National Science Foundation (NSF) awarded a $127,000 Project Grant under the STEM Education program (CFDA 47.076) to the New Jersey Institute of Technology (NJIT) to develop comprehensive educational modules focused on the security of machine learning (ML) models in artificial intelligence (AI) systems. The project aims to create a practice-in-the-loop learning experience for students to understand the security vulnerabilities and solutions for ML in computer vision, speech recognition,...