Project Grant 2627436
- EAGER: Supporting and Sustaining Evidence-Based Computer Science Education Oregon State University received $200k in funding from the National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) awarded April 15, 2026, with completion targeted for March 31, 2028. The project expands Computer Science for Oregon, an established statewide partnership, to support teachers and school leaders in integrating...
- 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 National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 will support the development of an AI-enhanced platform to empower K-12 teachers with high-quality and inclusive math instruction. The project aims to tackle challenges in K-12 math education by integrating new AI models to assist teachers in generating personalized lesson materials, providing formative assessment, auto-scoring, and generating diagnostic reports...
- This Project Grant award from the National Science Foundation's (NSF) Innovative Technology Experiences for Students and Teachers (ITEST) program provides $200,000 to support a time-sensitive project that aims to empower teachers to harness the capabilities of large language models (LLMs) to create interactive, personalized STEM learning resources. The project team, led by the Regents of the University of Michigan, will partner with WGBH Educational Foundation to develop a teacher-AI...
- This National Science Foundation (NSF) Project Grant under CFDA 47.076 STEM Education (formerly Education and Human Resources) provides $489,803 to North Carolina State University (NC State) to establish and nurture a research-practice partnership called "AI by 8" focused on integrating artificial intelligence (AI) concepts into K-2 English Language Arts (ELA) instruction for rural North Carolina students. The project aims to directly impact 30 teachers and approximately 600 students...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) award provides $400,000 over 3 years to Northeastern University to develop and implement a professional development program for high school STEM teachers focused on incorporating generative AI into their classroom instruction. The program will recruit 10 teachers per year, prioritizing those serving underrepresented students, and provide intensive summer training supplemented by monthly collaborative meetings and ongoing content...
- This $400,000 Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) to the University of California, San Diego (UCSD) aims to redesign an introductory computer science (CS1) course to teach programming with the aid of large language model (LLM) AI assistants. The key goals are to: 1) Redesign the CS1 course to emphasize skills like code reading, testing, and problem decomposition rather than just syntax and writing code from scratch; 2) Study how...
- 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 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides USD 427,056 to The Regents of the University of Colorado, doing business as the University of Colorado Office of Contracts and Grants Division, to conduct research on enhancing the future of teacher practice through AI-enabled formative feedback for job-embedded learning. The primary goals are to: 1) Work with teachers to design and refine automated feedback systems, 2) Enhance the...
- 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...
NSF FF: PLANNING: READING-EMBEDDED ACTIVITY DESIGN FOR EDUCATORS -THIS FINDERS FOUNDRY AWARD SUPPORTS THE CO-DESIGN OF A TEACHER-FACING, AI-POWERED WEB APPLICATION THAT GENERATES LESSON PLANS THAT INTEGRATE COMPUTER SCIENCE (CS) ACTIVITIES INTO REQUIRED ENGLISH LANGUAGE ARTS TEXTS. THIS APP DOES NOT REQUIRE TEACHERS TO BE CS EXPERTS WHICH MAKES INTEGRATION ACROSS CLASSROOM CONTEXTS ACHIEVABLE. CO-DESIGNING WITH EDUCATORS ENSURES THAT LESSONS ARE DEPLOYABLE WITHIN EXISTING INSTRUCTIONAL TIME AND THROUGH DISTRICT-ADOPTED LEARNING MANAGEMENT SYSTEMS. THE PLATFORM'S ARCHITECTURE IS TRANSFERABLE TO OTHER CONTENT AREAS SUCH AS SCIENCE, SOCIAL STUDIES, MATH, WITHOUT PROPORTIONAL INCREASES IN TEACHER TRAINING, REPRESENTING A SCALABLE INFRASTRUCTURE FOR CS INTEGRATION ACROSS THE K-12 CURRICULUM. THIS FINDERS FOUNDRY AWARD ADVANCES KNOWLEDGE AT THE INTERSECTION OF GENERATIVE AI, COMPUTER SCIENCE AND COMPUTATIONAL THINKING (CS/CT) INTEGRATION PEDAGOGY, AND ENGLISH LANGUAGE ARTS INSTRUCTION BY DEVELOPING AND EMPIRICALLY VALIDATING A THEORETICALLY GROUNDED FOUR-STAGE INSTRUCTIONAL DESIGN MODEL THAT DOES NOT REQUIRE CS EXPERTISE FROM THE CLASSROOM TEACHER. UNLIKE EXISTING GENERAL-PURPOSE GENERATIVE AI TOOLS, THIS PROJECT EMBEDS CURRICULUM CONTEXT, STANDARDS ALIGNMENT, AND CS SKILLS TRACKING DIRECTLY INTO THE GENERATION ARCHITECTURE, ENABLING SUSTAINED INTEGRATION DOSAGE ACROSS A FULL ACADEMIC YEAR WHICH IS A FUNCTION THAT EXISTING TOOLS FAIL TO PROVIDE. STUDENT VOICE IS STRUCTURALLY EMBEDDED INTO THE GENERATION MODEL THROUGH POST-ACTIVITY FEEDBACK PRODUCING A CONTINUOUS IMPROVEMENT MECHANISM GROUNDED IN REAL CLASSROOM OUTCOMES. THE PLATFORM'S INITIAL TARGET POPULATION IS ELEMENTARY AND HIGH SCHOOL ENLISH LANGUAGE ARTS CLASSROOMS WITH ANTICIPATED OUTCOMES INCLUDING INCREASED FREQUENCY AND DOSAGE OF CS/CT INTEGRATION, MEASURABLE CT SKILL DEVELOPMENT TRACKED AGAINST STANDARDS, AND MEANINGFULLY REDUCED DEPLOYMENT BURDEN FOR CLASSROOM EDUCATORS. 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 |