Project Grant 2243044
- This $245,190 Project Grant awarded by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) aims to advance the integration of modern machine learning tools, such as deep learning and Bayesian additive regression trees, into statistical modeling frameworks. The research program has two key objectives: Developing a novel Bayesian inferential framework for "generative models" - statistical models where data is viewed as stochastic outputs of...
- 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...
- This $515,428 Project Grant award from the National Science Foundation's (NSF) STEM Education (CFDA 47.076) program supports the development of new statistical methods and research tools for conducting small-sample studies of teaching and learning in STEM fields. The research project, led by the University of Cincinnati, aims to derive new estimation procedures for cross-classified structural equation models that can generate robust findings from studies with smaller sample sizes, which is a...
- The National Science Foundation (NSF) awarded a 5-year, $1,014,803 Project Grant under its STEM Education program (CFDA 47.076) to The Research Foundation for the State University of New York (RF SUNY), doing business as SUNY at Binghamton. This project aims to advance the use of computer adaptive testing and assessment for measuring mathematical problem-solving abilities of students in grades 3-8. The project will develop and evaluate computer-adaptive problem-solving assessments aligned to the...
- This Project Grant award, valued at $249,999.00, was made by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The research project aims to enhance policy decisions by developing new statistical methods to address the challenges of misspecified structural equation models with latent variables. The key products of this 3-year project, running from August 2024 to July 2027, will be: New equation-by-equation maximum likelihood...
- This $841,392 Project Grant was awarded by the National Science Foundation's STEM Education program (CFDA 47.076) to the University of Georgia Research Foundation, Inc. The project aims to develop and evaluate a scalable, explainable, teacher-in-the-loop adaptive learning system built on large language models. Key components include an assessment module to assist instructors in generating aligned and explainable assessment tasks, a recommendation module to create personalized learning pathways...
- This $349,993 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will advance the methodology and practical implementation of adaptive experiments. The 3-year project, which begins on September 1, 2024, will develop new statistical methods for sample size calculations and optimal treatment assignment in adaptive settings, establish a comprehensive framework to guide applied researchers in designing adaptive...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports a research initiative titled "A General Framework for Automated Test Transfer." The $143,333 grant, awarded to the University of Georgia Research Foundation on July 1, 2025, aims to develop automated techniques for reusing software testing cases across similar applications. Key goals include enabling the transfer of user interface (UI) test...
- The University of Georgia Research Foundation, Inc. received a three-year, $180,487 Project Grant award from the National Science Foundation to support research titled "COLLABORATIVE RESEARCH: DASS: A SOCIO-TECHNICAL FRAMEWORK FOR HANDLING DIGITAL EVIDENCE WITH SECURITY AND PRIVACY ASSURANCES." The award, made on October 1, 2021 under the Computer and Information Science and Engineering program (CFDA 47.070), will fund the development of a socio-technical framework to securely and...
- This $119,952 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports the development of new and more accurate statistical methodologies for analyzing survival data. The research aims to overcome limitations of current semiparametric linear models used in vital areas like understanding time to disease onset, recovery after treatment, and mortality. Key project components include adopting the semiparametric accelerated failure...
The University of Georgia Research Foundation, Inc. received a $300,000 Project Grant award from the National Science Foundation Social, Behavioral, and Economic Sciences program (CFDA 47.075) to develop new statistical methods and software for item response theory model calibration applicable to computerized adaptive testing in small-scale assessments. Key products to be delivered under the three-year award period include dimension reduction methods for item response theory models based on homogeneity structure learning, an online inference approach using stochastic gradient descent, and validation of the approaches through simulation studies and analysis of real educational assessment data sets. The grant will support advancement of efficient statistical methods needed to address challenges with limited sample sizes, sparse response data, and online estimation in low-stakes assessment settings. Outcomes aim to directly benefit educators and applied researchers through publicly available software and by advancing the fields of education and psychology.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 5/1/23 |