Project Grant 2520496
- The University of Utah received a $110,000 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to develop a comprehensive framework that ensures the principled use of artificial intelligence (AI) technologies in data-intensive education research. The project aims to bridge the gap between high-level AI principles and practical implementation, creating a responsible and trustworthy framework to benefit society by enabling more...
- This $111,984 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support a collaborative research project focused on mapping the state of AI ethics education across diverse higher education institutions in the United States. The project aims to: (a) comprehensively survey current and planned AI ethics education interventions, (b) develop a framework to understand how faculty perceive and conceptualize AI ethics...
- This Project Grant award of $200,000 from the National Science Foundation's STEM Education (47.076) program aims to promote AI readiness and democratize AI technologies for a broad spectrum of advanced cyberinfrastructure users and researchers. The key products and services provided under this 4-year award, which began on September 1, 2023, include: Developing a comprehensive suite of experiential learning modules, including flexible micro-modules and immersive extended reality experiences, to...
- 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 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) aims to create dynamic research experiences for undergraduate students in artificial intelligence (AI) with applications in computer science education. The $400,000 award, effective October 1, 2025 through September 30, 2028, will provide hands-on research opportunities for students to develop AI-based educational resources for computer science education settings. Participant pairs will be...
- This Project Grant award from the National Science Foundation (NSF) under CFDA 47.070 - Computer and Information Science and Engineering is for $395,927 over the period of Sep 1, 2024 to Aug 31, 2027. The award aims to develop theoretical and algorithmic foundations for building a safe and robust human-AI ecosystem, where machine learning (ML) and artificial intelligence (AI) techniques are used in applications involving humans, such as recommendation systems, lending, and healthcare. The key...
- 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 Project Grant award of $215,549.00 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research into how universities are using and adapting AI systems, particularly for surveillance functions in areas such as learning management, campus safety, and research. The project, conducted by the University of North Carolina at Chapel Hill (UNC-CH), uses mixed methods to study the societal implications of AI systems in higher...
- This $200,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support the development, implementation, and study of a novel approach to AI education at Boston College. The project, titled "Research Initiation: Human-Centered AI Algorithm Design for Engineering Students' Professional Formation," aims to help engineering students engage with the ethical, social, and human dimensions of AI. The project will design and test teaching...
- The National Science Foundation (NSF) awarded a $389,039 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Temple University-Of The Commonwealth System Of Higher Education. The AI4EDU project aims to develop innovative training materials, software tools, and hands-on assessments to enable education researchers to utilize artificial intelligence (AI) in educational research and assessment using cloud infrastructure. The project consists of three...
This Project Grant award of $165,000.00 from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research at Clemson University to develop a comprehensive framework for the principled use of artificial intelligence (AI) technologies in data-intensive education research. The project aims to benefit society by enabling more trustworthy education research, fostering public confidence in AI applications, and ensuring technological advances serve all students. Key products include: A novel web-based assessment tool that leverages responsible AI techniques to detect potential risks within datasets, helping stakeholders make informed decisions about data sharing and usage. A toolkit that identifies bottlenecks and translates complex AI risks/benefits into accessible formats using interactive visualizations for non-technical stakeholders. Comprehensive educational support materials, including video tutorials, interactive modules, and real-world case studies, to promote responsible AI practices in education research. The award period runs from September 1, 2025 to August 31, 2028, with the goal of bridging the gap between high-level principles and practical implementation of AI in data-intensive education research.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $165.0k | 8/18/25 |