Cooperative Agreement 2546660
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $274,981 to PrairieLearning, Inc., a for-profit organization, aims to develop an online learning and assessment platform for sophisticated and secure exams. The key products and services to be delivered include: The platform will provide a robust and sophisticated assessment tool for STEM (science, technology, engineering and mathematics) educators to improve student learning,...
- Federal Cooperative Agreement Summary One Spot Learning, Inc. (doing business as Gotlearning) received a $1.25M Cooperative Agreement award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) on July 15, 2025, for a project completion date of June 30, 2027. This Small Business Innovation Research (SBIR) Phase II award supports the development of a holistic student assessment system that applies artificial intelligence (AI) and...
- The National Science Foundation awarded $304,991 to Graded Gaming, LLC on July 1, 2026, under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) for an SBIR Phase I project to validate an artificial intelligence model delivering adaptive instructional support in career and technical education. The project, titled "Introducing Riley: A Co-Designed AI Teacher Powered by Natural Language Processing for CTE Success," develops a layered AI architecture for real-time,...
- The National Science Foundation Division of Research on Learning in Formal and Informal Settings awarded $231,152 to the Institute For Advancing Computing Education on October 1, 2025, under the STEM Education program (CFDA 47.076) to develop curricular materials supporting artificial intelligence pair programming (AIPP) in high school computer science courses. The project creates curriculum-agnostic instructional materials that overlay existing high school CS curricula to guide students in...
- 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 Sown To Grow, Inc. a $1.25 million cooperative agreement on August 1, 2026, under the NSF Technology, Innovation, and Partnerships SBIR Phase II program to develop artificial intelligence-powered tools for measuring and supporting student-teacher relationships in K-12 educational settings. The recipient is developing a software-as-a-service platform that uses natural language processing and machine learning to make the quality of student-teacher...
- The National Science Foundation awarded Hensun Innovation LLC a $1.25 million Cooperative Agreement on August 1, 2026, under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop and validate specialized artificial intelligence models that support K-12 STEM instruction through the Colleague AI platform. The project builds domain-specific AI agents designed to scaffold whole-class discussion, deliver individualized tutoring, support formative assessment and feedback,...
- The National Science Foundation Division of Computing and Communication Foundations awarded the Institute For Advancing Computing Education $238,506 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop and validate measurement scales assessing artificial intelligence literacy among middle school teachers. The project develops high-quality instruments measuring three dimensions of teacher AI literacy — knowledge, skills, and attitudes —...
- The National Science Foundation Division of Research on Learning in Formal and Informal Settings awarded the University of Illinois $414,556 on August 1, 2026, under the STEM Education program (CFDA 47.076) to co-design, implement, and research artificial intelligence learning experiences with high school computing teachers. The project will conduct two iterative two-year qualitative studies to understand AI literacy development across teacher professional development sessions, co-design...
- 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....
The National Science Foundation awarded a $1.211 million cooperative agreement to PrairieLearn, Inc. on August 15, 2026, to develop an AI-powered online platform for sophisticated and secure educational assessments under the Small Business Innovation Research (SBIR) Phase II program. The platform enables instructors to create automatically graded, individualized test questions and delivers improved student learning through repeated practice with immediate feedback and strengthened exam security via question randomization and restricted access to outside resources. The Phase II research addresses the reliability challenge of using large language models for high-stakes testing by employing a two-stage approach: an AI model converts instructor descriptions into validated computer code that encodes both question generation and grading logic, then this verified code produces unique, randomized question instances for each student. This architecture eliminates reliability concerns by generating reusable code rather than directly grading student work, with code undergoing rigorous automated and human validation before use. Phase II research objectives include expanding the AI engine to generate varied question types (graphical, programming, and data-analysis formats); enabling question creation from uploaded course materials; implementing an automated validation step in which a second AI model solves generated questions to verify correctness; developing a visual editing interface for non-technical users; and conducting iterative user studies measuring usability and pedagogical effectiveness. The project builds on a successful Phase I proof of concept. Work is performed in Champaign, Illinois, with a period of performance through July 31, 2028. The award is issued under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084).
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.2m | 8/5/26 |