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) will provide $414,234 to Purdue University to investigate the use of generative AI, specifically ChatGPT 3.5, to support undergraduate engineering students in identifying and accounting for diverse populations and societal impacts during engineering design projects. The key objectives of this 3-year project are to: 1) Understand the strengths, weaknesses, opportunities, and threats of...
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 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) 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 $599,877 federal Project Grant was awarded on December 1, 2024 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant is funding a 3-year research project at Clemson University to study the opportunities and challenges that generative AI technologies like ChatGPT and Midjourney present for end-user driven creative workforces in industries such as entertainment. The key objectives are to: (1) empirically...
This $174,995 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to understand and optimize the role of human intelligence in data integration and discovery pipelines, especially in the context of emerging large language models (LLMs) like ChatGPT. The project will investigate fundamental questions about human involvement in these data processes, uncover relevant human biases, and...
This $256,000 National Science Foundation Project Grant under the Engineering (47.041) program will fund the development of an intelligent language learning environment by Pangea Chat LLC. The company will create a machine learning solution to support conversation-based foreign language education. The system will analyze student text chats to identify learning objectives and automatically generate practice activities. It aims to increase student confidence and engagement in initial conversations...
The National Science Foundation (NSF) awarded a 4-year, $252,007 Project Grant under the Engineering (CFDA 47.041) program to Northeastern University. The grant supports the development and testing of AI-based programming tools to assist social and natural scientists with computer programming tasks. The research team is developing large language models and associated tools to support programming languages commonly used in the sciences, such as MATLAB and R, in order to make programming easier...
This $178,250 National Science Foundation Project Grant will support the development of machine learning tools to analyze student-written justifications for challenging concept questions in engineering statics. Awarded to Tufts University under the NSF Engineering grant program (CFDA 47.041), this three-year collaborative project between Tufts and the University of Massachusetts Lowell aims to leverage advances in natural language processing to automate the coding of student responses....