Project Grant 2627575
- The Institute for Advancing Computing Education received a $192,790 Project Grant from the National Science Foundation's Division of Research on Learning in Formal and Informal Settings under the STEM Education program (CFDA 47.076), effective October 1, 2025, through September 30, 2028. The primary product is a set of curriculum-agnostic instructional materials designed to support high school computer science (CS) education through artificial intelligence pair programming (AIPP)—a pedagogical...
- This Project Grant award of $200,000 from the National Science Foundation's STEM Education (47.076) program aims to promote AI readiness and democratize AI technologies for a broad spectrum of advanced cyberinfrastructure users and researchers. The key products and services provided under this 4-year award, which began on September 1, 2023, include: Developing a comprehensive suite of experiential learning modules, including flexible micro-modules and immersive extended reality experiences, to...
- This Project Grant award from the National Science Foundation (NSF) under the STEM Education (formerly Education and Human Resources) program (CFDA 47.076) provides $156,000 to Northwestern University to rapidly develop and research a set of "unplugged" hands-on learning activities for teaching middle-school students about artificial intelligence (AI). The project aims to create an open-source repository of up to 15 hands-on, low-cost AI literacy activities that can be led by educators...
- 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 $349,999 Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) will support a research project at the University of North Carolina at Chapel Hill (UNC-CH) to investigate how to design and integrate artificial intelligence (AI) to support equitable K-12 science education. The project plans to explore the use of multimodal AI to provide automated feedback for formative science assessments, with the goal of generating design principles to develop...
- The National Science Foundation's Division of Research on Learning in Formal and Informal Settings awarded $114,371 to The Research Foundation For The State University Of New York on September 15, 2025, under the STEM Education program (CFDA 47.076) to develop artificial intelligence (AI) literacy resources and professional learning support for middle school educators. Over the two-year project period through August 31, 2027, university researchers will collaborate with school districts in Texas...
- This is a $200,000 Project Grant awarded by the National Science Foundation's (NSF) STEM Education (CFDA 47.076) program. The grant will fund a collaborative research project titled "The AI Voyage: Integrating AI Literacy into Computer Science Curricula with Accessible Hands-On Learning Activities" at Georgia State University Research Foundation Inc. The project aims to develop a series of accessible, hands-on learning activities featuring artificial intelligence (AI) to be...
- This Project Grant awarded by the National Science Foundation (NSF) under the STEM Education (formerly Education and Human Resources, CFDA 47.076) program provides $1,487,350 to the University of Florida to engage approximately 500 high school students and 25 teachers from under-resourced communities in integrated computer science and engineering education focused on microelectronics and artificial intelligence (AI) technologies. The project aims to broaden access to these emerging STEM fields...
- This Project Grant award of $286,418 from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development and validation of an innovative integration of large language models with retrieval-augmented generation technology to enhance the effectiveness of peer mentoring programs in higher education. The project aims to create an artificial intelligence (AI)-assisted mentoring platform that provides data-informed,...
- The National Science Foundation (NSF) awarded a $199,994 Project Grant through the STEM Education (CFDA 47.076) program to The Leland Stanford Junior University to explore how high school youth, particularly those from historically marginalized communities, interact with and learn about generative AI and machine learning tools. Over a one-year period, the researchers will pilot classroom and extracurricular activities, collect quantitative and qualitative data, and analyze findings to develop...
NSF FF: PLANNING: AN AI-AUGMENTED RESEARCH CASE SIMULATION PLATFORM FOR HIGH SCHOOL RESEARCH EXPERIENCES -THIS FINDERS FOUNDRY AWARD INCREASES ACCESS TO COMPUTATIONAL LIFE SCIENCES RESEARCH PROJECTS FOR HIGH SCHOOL LEARNERS. INTRODUCING HIGH SCHOOL LEARNERS TO THE FULL RESEARCH LIFECYCLE SUPPORTS PREPARATION FOR POSTSECONDARY COURSEWORK AND FOR STEM CAREER PATHWAYS INCREASINGLY CHARACTERIZED BY COMPUTATIONAL AND METHODOLOGICAL DEMANDS. THE PROJECT CREATES A OPEN SOURCE PLATFORM FOR STUDENTS TO EXPLORE RESEARCH CASES. THE DELIVERY MODEL REMOVES HARDWARE, LICENSING, AND LABORATORY-INFRASTRUCTURE REQUIREMENTS, EXPANDING THE CONDITIONS UNDER WHICH AUTHENTIC RESEARCH EXPERIENCES CAN BE OFFERED AND REDUCES DEPENDENCE ON SPECIALIZED TEACHER TRAINING AND DEDICATED RESEARCH MENTORS. THE PLATFORM IS DESIGNED TO SUPPORT FUTURE ADAPTATION ACROSS STEM DISCIPLINES. THIS FINDERS FOUNDRY AWARD CREATES AN OPEN-ACCESS PLATFORM OF BRANCHING RESEARCH CASE SIMULATIONS THAT GUIDES HIGH SCHOOL LEARNERS THROUGH END-TO-END COMPUTATIONAL RESEARCH PROJECTS. THIS PROJECT GENERATES THE CASE SCHEMA, BRANCHING LOGIC, AI-PERSONA SCAFFOLDING SPECIFICATION, AND END-TO-END WORKED CASE REQUIRED TO SUPPORT THAT TRANSLATION. SIMULATIONS RANGE FROM 30-MINUTE MINI-CASES TO MULTI-WEEK ARCS TO ACCOUNT FOR EDUCATOR NEEDS AND TIME CONSTRAINTS. EMBEDDED AI AGENTS ACT AS GUIDES, ASKING PROBING QUESTIONS AT DECISION POINTS TO SCAFFOLD LEARNING AND SURFACE THE LEARNER'S REASONING. REAL OR REALISTICALLY SIMULATED DATASETS ALLOW LEARNERS TO MANIPULATE VARIABLES AND REPLICATE PUBLISHED ANALYSES. THE DESIGN IS ANCHORED IN ESTABLISHED FRAMEWORKS WHICH INFORM CASE STRUCTURE AND AI-PERSONA BEHAVIOR. THE CASE SCHEMA IS DESIGNED TO SUPPORT FUTURE ADAPTATION ACROSS A WIDE RANGE OF STEM DISCIPLINES. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $50.0k | 7/15/26 |