Project Grant 2119938
- This $900,000 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will support the development and evaluation of an AI-based learning support system to provide personalized educational content for large-scale university courses in sustainability science. The key components of the project include: Designing and evaluating a system to interview students about their backgrounds and transform this data into a knowledge graph representation to inform...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant award (CFDA 47.070) of $224,669 to North Carolina State University supports the development and evaluation of novel AI-based methods for student modeling to trace students' competencies in computer science education. The project aims to tailor large language models (LLMs) to generate personalized learning scaffolds - such as feedback, worked examples, and suggested next problems - that...
- This $1.7 million project grant from the National Science Foundation's STEM Education program (CFDA 47.076) will fund the development of a novel AI-powered student support system to improve metacognitive calibration skills at the University of Illinois from August 2022 to July 2025. The project aims to research methods for enhancing students' ability to accurately estimate their own level of knowledge using short, personalized training exercises delivered through a decentralized AI framework....
- This three-year, $260,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), will fund research towards designing optimal statistical learning procedures through precise medium-dimensional asymptotic analysis. The grantee, Columbia University, will develop a novel analytical framework to quantitatively characterize the performance of diverse learning algorithms and provide guidance on...
- This three-year project grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program totals $198,744 to fund research on student data in the post-pandemic university setting. The grantee, Columbia University, will conduct a qualitative study exploring how students understand and react to institutional data collection practices and how social differences may impact student experiences with educational technology and data surveillance. Through surveys and...
- This $499,867 National Science Foundation Project Grant awarded on October 1, 2023 under the STEM Education (CFDA 47.076) program will support the creation of sophisticated assessments and data collection efforts to enhance STEM instruction and research across K-16 education. The project, led by Iowa State University, will establish eight working groups to address critical topics for ethical, large-scale data collection and diverse research collaborations. This will enable the expansion of the...
- This Project Grant from the National Science Foundation's STEM Education program (CFDA 47.076) totaling $149,999 will fund the development and assessment of a two-stage exam process to improve teaching and learning outcomes in introductory computer science courses. The George Washington University will receive the funding to implement multiple choice exams requiring answer justifications from students. Those demonstrating knowledge gaps will participate in structured post-exam interviews to...
- This $162,814 project grant from the National Science Foundation's STEM Education program (CFDA 47.076) supports the development of conceptual models to improve student learning outcomes in computer science theory courses at the University of Rochester from July 2022 through June 2025. The award aims to study the impact of teaching students to create their own conceptual models of theoretical computing concepts. Researchers will analyze qualitative and quantitative data from student surveys,...
- This $149,992 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports the development of adaptable, game-based, interactive learning environments for STEM education. The primary goals are to: 1) Automate the customization and adaptation of 3D simulated game-based learning environments to improve engagement; 2) Assess the effectiveness of these learning environments for diverse learner groups in online and in-person...
- This $385,799 National Science Foundation project grant will fund research and educational activities through August 2024 under the STEM Education program (CFDA 47.076). The University of Delaware will leverage educational data mining to understand how undergraduate computer science students regulate learning and draw on motivational resources. Initial findings aim to inform a just-in-time learning intervention to improve study patterns. The project also seeks to increase participation 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 from tests. They will also work to improve assessment quality and incorporate process data into personalized, adaptive online learning. Specific products will include methods for process-data-based assessments, reinforcement learning models for adaptation, and open-source software. By leveraging recent advances in modeling, natural language processing, and optimization, the researchers aim to advance modern computer-based assessment and online education.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $375.0k | 1/24/22 |