This National Science Foundation (NSF) grant under the Engineering program (CFDA 47.041) in the amount of $199,954 provides funding to the University of Cincinnati to conduct research on how undergraduate engineering students utilize external resources, including generative AI tools like ChatGPT, to supplement their learning and problem-solving. The study aims to understand students' metacognitive strategies when engaging with these resources, with the goal of informing how educators can...
This Project Grant award of $199,995 from the National Science Foundation's STEM Education program (CFDA 47.076) aims to develop a framework and computational tools to understand how students and teachers are engaging with generative AI tools such as ChatGPT in K-12 education. The key objectives are to collect social media data to identify topics, trends, and insights on the enthusiasm, concerns, and responsible/ethical use of AI tools by both students and teachers. The data analysis will...
The National Science Foundation (NSF) Engineering program awarded a $299,999 EAGER grant to the Regents of the University of Michigan (CFDA 47.041) to explore the use of large language models (LLMs) like ChatGPT to generate qualitative datasets for engineering education research on cultural norms related to stress and mental health. The 2-year project aims to develop guidelines for leveraging LLMs to enhance existing qualitative methods and overcome their limitations. Specifically, the...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $687,382 to Massachusetts Institute of Technology (MIT) to conduct research and education focused on the foundations of next-generation artificial intelligence (AI) for engineering design. The award supports the development of deep generative models (DGMs) that can quickly generate product designs, with potential impacts on quality, cost, and innovation across industries like automotive,...
This $800,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research to develop mathematically rigorous methods for ensuring the reliability and safety of generative AI technologies like ChatGPT. The research aims to address both near-term and long-term challenges in this domain. For the near-term, the project will establish parameters for detecting and calibrating factual assertions made by generative...
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 $197,972 project grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports research at the University of Massachusetts (UMass) to enhance the relevance, diversity, and interpretability of information retrieval models for large generative AI systems like ChatGPT. The project aims to develop novel retrieval models that can provide users with a diverse set of interpretable, trustworthy responses to queries by...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $299,998 to Utah State University (USU) aims to examine why and how undergraduate engineering students use disruptive technologies, such as ChatGPT, to facilitate their learning. The exploratory mixed-methods study will leverage the theoretical lens of self-authorship to gain insights into students' motivations, goals, and perceptions in leveraging these emerging technologies. The findings from this...
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...
This Project Grant award of $763,741.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports a collaborative research project at New York University (NYU) to investigate how human and artificial intelligence (AI) language models, such as ChatGPT, process and understand language. The key goals of the project are to better understand the discrepancies between how humans and AI systems process temporary...