This $149,983 Project Grant awarded by the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program aims to develop, implement, and evaluate web-based AI-driven classroom simulation tools that will improve evidence-based mathematics teaching practices. The project will create a suite of open-source simulations to support pre-service teachers in fostering rich mathematical discourse in their classrooms. It will also produce open data sets of mathematical dialogue and...
This federal Project Grant award, totaling $1,662,312, was provided by the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program. The goal of the project is to enhance elementary school teachers' content and pedagogical content knowledge of numbers and operations using an AI-based interactive professional development program. The program aims to create a personalized, active learning environment for teachers to improve their understanding of foundational math...
This National Science Foundation (NSF) STEM Education (CFDA 47.076) Project Grant award of $160,350 to Kennesaw State University Research And Service Foundation, Inc. (KSU R&SF) aims to improve preservice elementary teachers' responsive teaching skills in mathematics. The project will develop, enact, evaluate, and refine three instructional modules that utilize AI-based chatbots to provide preservice teachers with extensive opportunities to practice and refine skills such as noticing,...
The National Science Foundation (NSF) awarded a $1,999,680 Project Grant under its STEM Education (CFDA 47.076) program to the University of Southern California (USC) to develop an "Intelligent, Adaptive Program with Just-in-Time Feedback for Preservice Teachers." This program aims to improve preservice teachers' evidence-based teaching practices, mathematical content knowledge, pedagogical content knowledge, and teaching skills related to ratios and proportional relationships...
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) 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 National Science Foundation (NSF) Project Grant award under the STEM Education program (CFDA 47.076) provides $118,525 to Looking Glass Ventures LLC to research and develop an AI-powered tool for high school math teachers to automatically generate interactive, technology-enhanced assessments. The project, titled "COLLABORATIVE RESEARCH: RAPID: EMPOWERING MATH TEACHERS WITH AN AI TOOL FOR AUTO-GENERATION OF TECHNOLOGY-ENHANCED ASSESSMENTS", aims to showcase how AI and large...
This $400,000 National Science Foundation project grant supports Purdue University in developing an interactive virtual environment for artificial intelligence education. Funded under the NSF's STEM Education program (CFDA 47.076), the two-year project aims to create a real-time visualization tool to promote conceptual and procedural understanding of AI among 250 learners. Either immersive using VR headsets or on conventional displays, the tool will focus on foundational AI topics. Iterative...
This $748,680 federal Project Grant award from the National Science Foundation's (NSF) STEM Education (CFDA 47.076) program aims to develop an AI-driven software system that integrates educators' materials and rules to provide students with personalized virtual teaching assistants (VTAs) in large STEM classrooms. The goal is to create a scalable platform that offers responsive support for students while equipping educators with tools to deepen their insights into student learning. The key...
This Project Grant award from the National Science Foundation's (NSF) STEM Education program (CFDA 47.076) aims to empower middle school teachers to integrate computational thinking (CT) into their science classrooms. The $564,135 award to North Carolina State University will fund the co-design and testing of 28 new CT-integrated science activities, provide professional development on CT in science for 84 teachers, and iteratively co-design and test an AI-powered tool to support teachers in...