Project Grant 2319137

Award Date 8/15/23
Completion Date 7/31/25
Dollars Obligated $300K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Fairfax, VA, USA
Similar Awards
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award provides $414,234 to Purdue University to investigate using generative AI, specifically ChatGPT 3.5, to support undergraduate engineering students in identifying diverse stakeholders and accounting for societal impacts during engineering design projects. The research will examine faculty perspectives, student design thinking, and expert views on the pros and cons of this approach. The project aims to...
The National Science Foundation (NSF) awarded a $400,000 project grant under the Improving Undergraduate STEM Education: Directorate for STEM Education (IUSE: EDU) program to the University of California, Irvine (UC Irvine) to incorporate generative artificial intelligence (AI) into engineering writing courses. The project aims to develop an engineering writing curriculum, an AI-enabled writing platform, and professional development to help instructors integrate AI writing tools into...
This $399,978 Project Grant award from the National Science Foundation's STEM Education (CFDA 47.076) program aims to promote collaborative learning in architectural engineering design using generative artificial intelligence-powered augmented reality. The project, awarded to Worcester Polytechnic Institute, will develop two generative AI-AR modules to integrate into existing architectural engineering design studio curricula. Over the 3-year period from October 2024 to September 2027, the...
This $687,382 National Science Foundation (NSF) Engineering (CFDA 47.041) grant award to the Massachusetts Institute of Technology (MIT) supports research and education focused on developing the next generation of artificial intelligence (AI) for engineering design. The project aims to establish deep generative models (DGMs) that can quickly generate high-quality product designs, addressing key challenges in engineering at various scales and across disciplines. The research integrates three main...
This Project Grant award for $393,800 from the National Science Foundation's STEM Education (CFDA 47.076) program supports research to improve the effectiveness of engineering ethics education. The project aims to develop new educational strategies and teaching tools that can better equip future engineers to act ethically and understand the societal implications of their work. Through a series of tasks, the research will explore how undergraduate research, classroom instruction, and variation in...
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...
The National Science Foundation (NSF) awarded a $300,000 Early-concept Grant for Exploratory Research (EAGER) under the Engineering program (CFDA 47.041) to The Pennsylvania State University, doing business as Penn State, to conduct research on expanding the use of artificial intelligence (AI) in manufacturing. The project focuses on developing deep clustering and generative modeling techniques to identify geometric similarities between new part designs and existing designs to improve...
The National Science Foundation (NSF) awarded a $199,999 RAPID grant under the STEM Education (CFDA 47.076) program to Carnegie Mellon University (CMU) to develop and evaluate a generative AI-powered robot design assistant for educational robotics. The project aims to investigate the potential of a task-oriented generative AI tool to support lower-performing learners and advance educational equity in robotics. The key planned activities include the development and testing of a prototype...
This $344,628 National Science Foundation (NSF) Engineering Program (CFDA 47.041) grant award to George Mason University, doing business as Mason, supports the development of a novel framework for coordinating multi-autonomous multi-human agent systems with guaranteed safety. The project aims to address key challenges in this domain, including non-cooperative behaviors due to information asymmetry and heterogeneous human preferences, as well as ensuring coordination safety with uncertain human...
This National Science Foundation (NSF) Project Grant award under the STEM Education program (CFDA 47.076) provides $199,413 to the University of Nevada, Las Vegas (UNLV) to enhance the experience and success of Hispanic-Serving Institution (HSI) students in generative artificial intelligence. The key products and services to be delivered include: Building an education-oriented GPU cluster to improve the computational infrastructure for generative AI education and research across disciplines....

This National Science Foundation (NSF) Engineering Education and Centers (EEC) Division Project Grant, awarded to George Mason University (Mason), will explore the impact of generative artificial intelligence (GAI) technologies on the engineering research and teaching community. The $300,000 award, effective from August 15, 2023 to July 31, 2025, will develop and evaluate methods and resources to support the adoption and integration of GAI in engineering education research and teaching practices. The project aims to help the engineering education community embrace GAI technologies responsibly and equitably, allowing diverse stakeholders to benefit from the capabilities of GAI. Through literature reviews, data collection, and collaborative workshops, the project will identify current GAI use cases and scenarios to assist with effective and responsible use of these technologies in engineering education.

Generated 5/14/24, 5:00 AM