Project Grant 2520498
- 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...
- 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 $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 $439,425 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports research to enable the safe deployment of learning-enabled systems that can robustly learn and optimize their behavior based on uncertain human feedback and intent. The key objectives are to: (1) develop methods for providing probabilistic performance guarantees when learning policies from human input,...
- 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...
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program awarded a $220,000 Project Grant to the University of Utah. The goal of this project is to empower AI researchers to more easily search, discover, and use AI-ready data sets, which could streamline and democratize AI research. The project will investigate and develop data discovery services using innovative AI techniques to extract data set information from scientific publications....
- The National Science Foundation's STEM Education program (CFDA 47.076) awarded a $150,000 project grant to The University of Texas at El Paso (UTEP) to integrate responsible artificial intelligence (AI) principles into undergraduate engineering education. The project, titled "From Awareness to Action: Integrating Responsible Artificial Intelligence Practice into Undergraduate Engineering Education", aims to equip future engineers with both technical knowledge and ethical awareness to...
- This $149,951 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) aims to integrate responsible artificial intelligence (AI) principles into undergraduate engineering education. The project, titled "Collaborative Research: From Awareness to Action: Integrating Responsible Artificial Intelligence Practice into Undergraduate Engineering Education," will establish the Healthcare Ethics and AI Learning (HEAL) lab to support collaborative,...
- This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $330,000 to the University of Utah to design, develop, and test an AI-enhanced mobile learning system that helps civil and construction engineering students integrate unstructured observations from their everyday environments with formal engineering education. The proposed system will use AI to direct students' attention to key construction components, explain the observations, and link...
- The University of Utah was awarded a $499,384 project grant from the National Science Foundation to support research titled "AF: SMALL: THE GEOMETRY OF LEARNING ON STRUCTURED DATA OBJECTS" from October 1, 2021 to September 30, 2024. The grant was awarded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in all areas of computing, communications, and information science and engineering....
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 trustworthy education research, fostering public confidence in AI applications, and ensuring technological advances serve all students. The framework will target three key stakeholder groups: data administrators, researchers, and research participants. The project will use a mixed-method study to understand current practices, concerns, and decision-making processes, and then develop a novel web-based assessment tool and a toolkit to identify risks and translate complex AI concepts into accessible formats. Additionally, the team will create comprehensive educational support materials, including video tutorials, interactive modules, and real-world case studies, to further support responsible AI practices in education research. The project period runs from September 1, 2025, to August 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $110.0k | 8/18/25 |