Project Grant N629091117019

This Project Grant award from the National Science Foundation's Integrative Activities (CFDA 47.083) program provides $239,431 to Auburn University to explore how events are structured in multimodal data and how they can be leveraged to design better, embodied AI agents that can construct and utilize compositional event representations to function in complex, real-world environments. The research aims to: 1) Learn the partonomy (hierarchical structure) of common events using Bayesian rose...

This three-year, $375,000 project grant from the National Science Foundation's National Center for Science and Engineering Statistics, operating under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), will develop tools to analyze process data from computer-based educational assessments and adaptive designs for testing and learning. The Columbia University researchers will focus on statistical learning methods to understand students' cognitive processes using log file data...

Directed Analytics Inc. received a $276,000 National Science Foundation Project Grant under the NSF Technology, Innovation, and Partnerships program to develop an automated employability skills framework. The one-year project will create a scalable software platform integrating data from school districts and higher education programs on transition methods and employment outcomes for individuals with autism spectrum disorder or other developmental disabilities. Using machine learning, the...

This Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) aims to enhance student learning and engagement in large lecture STEM courses. The $103,426 award to the University of Pittsburgh supports the development and optimization of a digital learning environment called CourseMirror that uses natural language processing (NLP) techniques to prompt and scaffold...

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...

This $900,000 Project Grant was awarded by the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences Program (CFDA 47.075) with a period of performance from September 15, 2023 to August 31, 2026. The award supports the development of an AI platform to analyze a student's violin playing during individual practice sessions. The platform will provide feedback on posture, bow movements, sound quality, and curricular...

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 two-year, $299,647 Project Grant from the National Science Foundation's Engineering Education and Centers division will fund the development of human-in-the-loop natural language processing systems to analyze engineering education program feedback and assessment data. The awardee, Virginia Polytechnic Institute and State University, will build models in phases to cluster similar texts from multiple datasets on themes like students' systems thinking and open-ended course surveys. Researchers...

This $400,000 Project Grant award from the National Science Foundation (NSF) STEM Education (CFDA 47.076) program supports the development of automated methods to reward students for following a good programming process when writing computer programs. The project at the Regents of the University of California at Riverside aims to create Python scripts that can automatically award points to students based on their demonstrated behaviors, such as starting early, spending sufficient time, writing...

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...