The National Science Foundation (NSF) awarded a $250,000 Project Grant under the STEM Education program (CFDA 47.076) to the University of Pittsburgh to conduct collaborative research on enhancing teacher professional learning through AI-enabled formative feedback systems. The project, titled "Collaborative Research [FW-HTF-RL]: Enhancing the Future of Teacher Practice via AI-Enabled Formative Feedback for Job-Embedded Learning", will work with teachers to co-design and test...
This $349,999 Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) will support a research project at the University of North Carolina at Chapel Hill (UNC-CH) to investigate how to design and integrate artificial intelligence (AI) to support equitable K-12 science education. The project plans to explore the use of multimodal AI to provide automated feedback for formative science assessments, with the goal of generating design principles to develop...
This Project Grant award, totaling $748,680.00, was provided by the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program. The award aims to develop an AI-driven software system that integrates educators' materials and rules to guide large language models in producing tailored responses for students in large classrooms. The system will consist of key components, including a subsystem for processing student inquiries, a subsystem for prompt constraints and course...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 will support the development of an AI-enhanced platform to empower K-12 teachers with high-quality and inclusive math instruction. The project aims to tackle challenges in K-12 math education by integrating new AI models to assist teachers in generating personalized lesson materials, providing formative assessment, auto-scoring, and generating diagnostic reports...
This Project Grant award of $298,375.00 from the National Science Foundation's (NSF) Division of Undergraduate Education STEM Education (CFDA 47.076) program aims to design and implement an artificial intelligence (AI)-augmented formative assessment and feedback system. The system will support the development of STEM text summarization and problem-solving skills among students in large, introductory undergraduate physics courses at an urban university serving diverse and underrepresented student...
This $1.7 million project grant from the National Science Foundation's STEM Education program (CFDA 47.076) will fund the development of a novel AI-powered student support system to improve metacognitive calibration skills at the University of Illinois from August 2022 to July 2025. The project aims to research methods for enhancing students' ability to accurately estimate their own level of knowledge using short, personalized training exercises delivered through a decentralized AI framework....
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 $299,997 Project Grant award, funded by the National Science Foundation's (NSF) STEM Education program (CFDA 47.076), is supporting the development of an AI-powered, app-based platform to deliver targeted instructional feedback and professional development to early childhood educators. The research team at the University of Notre Dame, the grant recipient, is collaborating with early education teachers to co-design the platform, which aims to provide timely feedback on teachers' shared book...
This $149,971 project grant, awarded by the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076), will support the development and evaluation of a Comprehensive Personalized Programming Practice Environment (C-3PE) that utilizes artificial intelligence (AI) to enhance computer science education. The primary awardee, the University of Massachusetts (UMass), will collaborate with Carnegie-Mellon University, University of Massachusetts, and North Carolina State...
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 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides USD 427,056 to The Regents of the University of Colorado, doing business as the University of Colorado Office of Contracts and Grants Division, to conduct research on enhancing the future of teacher practice through AI-enabled formative feedback for job-embedded learning. The primary goals are to: 1) Work with teachers to design and refine automated feedback systems, 2) Enhance the robustness and fairness of computational models underlying the automated feedback, and 3) Test fundamental design principles for professional feedback. The research will focus on English and Language Arts (ELA) instruction in middle and high school classrooms, with the aim of providing teachers with effective, unbiased, and accessible feedback mechanisms to drive continued professional learning and, ultimately, improve student achievement outcomes. The award period runs from November 1, 2023 to October 31, 2027.