Project Grant 2506957
- This Project Grant award from the National Science Foundation's (NSF) Innovative Technology Experiences for Students and Teachers (ITEST) program provides $200,000 to support a time-sensitive project that aims to empower teachers to harness the capabilities of large language models (LLMs) to create interactive, personalized STEM learning resources. The project team, led by the Regents of the University of Michigan, will partner with WGBH Educational Foundation to develop a teacher-AI...
- This Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) will support the development of a virtual classroom platform that uses large language model (LLM) simulated agents to facilitate collaborative learning of mathematical modeling for middle-school students. The $321,873 project aims to increase equitable access to effective mathematics education, particularly for students from under-resourced communities, by leveraging generative AI techniques....
- This National Science Foundation (NSF) STEM Education program (CFDA 47.076) award of $399,724 to the University of Massachusetts Lowell (UMass Lowell) will develop AI-driven educational technology tools to enhance undergraduate computer science learning. Specifically, the project will explore how large language models (LLMs) can be customized to enable personalized, interactive, and reflective learning experiences for STEM students. The project aims to: (1) examine how LLMs can provide...
- This Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will develop and evaluate a scalable, explainable, teacher-in-the-loop adaptive learning system built on large language models. The $841,392 project aims to address challenges with traditional adaptive learning systems by leveraging generative AI to automatically generate high-quality learning content and recommendations, while ensuring educators remain central to the instructional process. The...
- This $400,000 Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) to the University of California, San Diego (UCSD) aims to redesign an introductory computer science (CS1) course to teach programming with the aid of large language model (LLM) AI assistants. The key goals are to: 1) Redesign the CS1 course to emphasize skills like code reading, testing, and problem decomposition rather than just syntax and writing code from scratch; 2) Study how...
- This $900,000 Project Grant awarded by the National Science Foundation's (NSF) STEM Education program (CFDA 47.076) will advance transformative STEM education by developing innovative, AI-powered online learning environments that promote the learning-by-teaching approach. The project aims to equip students with essential cognitive and collaborative competencies needed to succeed in a future shaped by AI technologies and human-AI partnerships. Key efforts include enhancing a teachable agent...
- This Project Grant award of $300,000 from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports a study at Georgetown University to develop an evaluation methodology for measuring the impacts of implementing large language model (LLM)-based tools to assist human experts working in federal, state, and local government programs. The project will compare the performance of LLM-only, human-only, and human-LLM hybrid responses across key metrics...
- The National Science Foundation awarded a $1.8 million Project Grant to the University of Colorado Boulder under the Engineering (47.041) federal grant program. The award will fund the development of an AI-augmented tutoring analytics and performance support model to improve the work and professional growth of tutors. Specifically, the university will create a tutoring analytics system using deep learning to analyze tutor-student dialog and provide personalized feedback to tutors. A toolkit will...
- This $400,000 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 objective of the award is to leverage and evaluate large language models (LLMs) as "tools for thought" that can support creative, open-ended, and collaborative work across various applications such as scientific writing, text analysis, and design ideation. The key products and services to be developed and...
- This Project Grant award of $397,611.00 from the National Science Foundation (CFDA 47.076 STEM Education program) to Washington State University aims to advance STEM education through the development and evaluation of artificial intelligence (AI)-driven virtual teaching assistants (VTAs). The key products and services to be delivered under this grant include: (a) Creation of a generalizable large language model (LLM) framework for constructing conversational AI agents (VTAs) optimized for STEM...
This Project Grant award of $900,000.00 from the National Science Foundation's STEM Education (CFDA 47.076) program supports an investigation into using large language models (LLMs) to help instructors author effective and efficient intelligent tutoring systems (ITS). The primary goal is to integrate existing LLMs with the Cognitive Tutoring Authoring Tools (CTAT) to assist with two time-consuming ITS authoring tasks: generating practice problems and developing rule-based cognitive models. The project will assess the quality of the resulting tutoring systems and measure the efficiency gains in the authoring process, with the aim of helping spread ITS more widely into educational practice. The award was made to Carnegie Mellon University, which will leverage its expertise in cutting-edge technologies and scientific disciplines to execute this research project over the period from October 2025 to September 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $900.0k | 9/5/25 |