This $256,800 Project Grant awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) is funding the development of a holistic system for comprehensive student assessment. The goal is to leverage AI and natural language processing (NLP) tools to analyze diverse student learning data, including essays, written assignments, and reflections, to provide educators with real-time, detailed insights on student progress. This will...
This $274,576 federal Project Grant awarded by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) aims to develop a core universal Natural Language Processing (NLP) model designed for low-resourced languages. The primary objective is to create an NLP model capable of handling the unique linguistic features of low-resourced languages, leveraging limited data, and incorporating cultural and contextual nuances to reduce...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $286,418 supports the development and validation of an innovative AI-assisted mentoring platform. The platform integrates large language models with retrieval-augmented generation technology to enhance the effectiveness of peer mentoring programs in higher education. Key technical objectives include achieving 90% accuracy in contextually relevant responses and 85% user...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award in the amount of $303,226 supports the development of an innovative AI-driven platform to personalize language learning activities for young children with communication delays. The project aims to create an adaptive solution that combines phoneme recognition algorithms and adaptive learning models to track, assess, and respond to each child's language progress in real-time. The...
This $304,200 Project Grant awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports the development of a novel adaptive learning platform by Mixta RE, Inc., a small disadvantaged woman-owned business. The platform leverages artificial intelligence, extended reality, and generative AI to create personalized, competency-based learning experiences addressing the critical challenge of workforce displacement due to AI...
This $299,997 Project Grant award from the National Science Foundation's (NSF) STEM Education program (CFDA 47.076) supports the development of an AI-powered, app-based platform to deliver targeted instructional feedback and professional development for early childhood educators. The research team, led by the University of Notre Dame, is collaborating with early childhood teachers to co-design the platform, which will leverage natural language processing and machine learning to analyze teacher...
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...
The National Science Foundation (NSF) awarded a Project Grant titled "COLLABORATIVE RESEARCH: AI BY 8: A RESEARCH INVESTIGATION LED BY A RESEARCH-PRACTICE PARTNERSHIP ON UNPLUGGED AI LANGUAGE ARTS INSTRUCTION FOR YOUNG CHILDREN" under the STEM Education (CFDA 47.076) program. The $509,999 award was granted to the American Institutes for Research (AIR), a non-profit research organization, in partnership with North Carolina State University, Partner to Improve, and rural North Carolina...
This Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) for $271,000 aims to enhance the technical writing skills of Puerto Rican engineering students through an AI-driven feedback system. The project, titled "COLLABORATIVE RESEARCH: HSI PILOT PROJECT: PRACTICE - PERFORMANCE REFINEMENT THROUGH AI CORRECTION IN TECHNICAL WRITING FOR CHEMICAL AND ELECTRONICS ENGINEERING," will develop and implement an AI system that provides real-time...
This $550,000 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of generative artificial intelligence (AI)-powered products that enable humans to interact and converse with books and other documents. The key products being developed include: Technology to represent the informational content of books and document discussions as a knowledge graph, which will then be used to ground large...