Project Grant 2202345

Award Date 6/1/22
Completion Date 5/31/25
Dollars Obligated $170K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Pittsburgh, PA 15213, USA
Similar Awards
This National Science Foundation (NSF) Project Grant award for $175,000 supports research by Calvin University to develop interactive natural language technology to help writers structure and revise documents. The project, funded under NSF's Computer and Information Science and Engineering program (CFDA 47.070), aims to create features that can be integrated into word processing applications to assist writers in organizing their thoughts and structuring their writing. The research team will...
This Project Grant award from the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076) provides $300,000 to Rutgers, The State University to lay the groundwork for new paradigms of responsible design, development, and deployment of artificial intelligence (AI)-powered writing tools. The key products and services to be delivered include: Clear and accessible articulations of the research methods and challenges for design-oriented AI as it applies to writing...
This $849,799 Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) will support research to advance understanding of how to enhance student learning of argumentative writing through artificial intelligence and human-computer interaction. The key products to be delivered under this 3-year grant include: Development of a personalized argumentative writing tutoring system...
This three-year project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop novel natural language processing and artificial intelligence tools to augment scientific writing instruction. Funded at $199,955, the award will support Arizona State University in deploying automated fact-checking, feedback, knowledge tracing, and narrative story arc suggestion technologies within the StoriEdu collaborative story writing platform....
This three-year, $621,352 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop novel natural language processing and artificial intelligence tools to augment scientific writing instruction. Specifically, the University of Massachusetts at Amherst will build machine learning models for fact-checking student writing, knowledge tracing to measure concept mastery over time, and generating narrative progressions associated...
The National Science Foundation Division of Information and Intelligent Systems awarded a $500,000 Project Grant to Stanford University from October 1, 2021 to September 30, 2024 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research to develop new tools for studying structural and inductive bias in natural language processing models. The Computer and Information Science and Engineering program supports investigator-initiated research and...
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...
The National Science Foundation awarded a $149,570 project grant to the University of South Florida under the federal Computer and Information Science and Engineering grant program (CFDA 47.070) from May 1, 2023 to April 30, 2024. The grant funds research to develop new computational models and metrics for detecting semantic inferences between texts at a finer level of granularity than current natural language processing approaches. Specifically, the university will enrich representations of...
The National Science Foundation awarded a $400,000 Project Grant to Stanford University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research and education activities to develop conceptual and mathematical understanding of large language models. Specifically, the university will conduct research analyzing simplified generative text models and language models trained on such data to gain insights into their inner...
The National Science Foundation (NSF), through its Computer and Information Science and Engineering (CISE) Program (CFDA 47.070), awarded a $150,000 Project Grant to Iowa State University of Science and Technology (Iowa State University). This 3-year grant supports the development of an intelligent tutoring system called SourceWrite that will automatically track students' writing processes, infer their intentions, and provide real-time, individualized advice and assistance during source-based...

The National Science Foundation Division of Information and Intelligent Systems awarded a $170,000 Project Grant to The Rand Corporation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for the period of June 1, 2022 to May 31, 2025.

The grant will support the development of natural language processing techniques to improve students' revision of evidence use in argument writing. Specifically, the grantee will 1) develop and validate new measures of revision quality in response to feedback on evidence use, 2) automate the scoring of revisions using these measures through natural language processing, 3) provide formative feedback to students based on the automated revision scoring, and 4) evaluate the utility of this feedback in improving student writing and revision in classroom settings. The research aims to advance educational technologies for argumentative writing instruction and prepare students with important writing and revision skills for further education and career applications.

Generated 1/6/24, 11:33 PM