ANNOUNCEMENT

NOBEL PRIZE 2026

This year's laureates, their fields, and the discoveries that earned them the prize.Live nowSee the winners
Moonbase
← Back to Awards
NSFDirectorate for Technology, Innovation, and Partnerships

NSF FF: Planning: The Home-to-School AI Bridge: Democratizing AI Literacy through Physical Computing

Completed
Institution
Boston College, MA
Principal investigator
George M Barnett
Funding
$49K
Duration
2026
Open portfolio

Moonbase score

Still being scored

Abstract

This FINDERS Foundry award improves high school students' interaction with AI in the physical world beyond screens. While many students use AI online, rarely are they able to see how it can sense, act, and learn through real devices. This project creates a hands‑on toolkit with low‑cost sensors, microcontrollers, and simple parts that let students build and test physical AI systems. Students will explore community‑based problems, such as local safety, energy use, or environmental monitoring, to identify opportunities for AI to help meaningfully assist in solving real-world challenges. Through the co-designed hands-on toolkit, families, teachers, and students shape activities which are meaningful, age‑appropriate, and safe. By giving students the chance to design physical AI projects, the project increases learners' creativity, responsibility, and a deeper understanding of how AI works in everyday environments. This FINDERS Foundry award collaboratively develops early prototypes of a Physical AI Kit, design complementary curricular activities, and use participatory design research to identify community opportunities suitable for physical‑AI solutions. Specific device‑inventory specifications, curriculum mapping and the creation of low‑fidelity prototype wireframes are identified through co‑design workshops with students, educators, and families. Technical feasibility data on hardware and sensing components, validated user‑needs documentation, and a development‑phase plan for scalable integration into STEM courses are predicated on the iterative technical work. Through sensors, microcontrollers, and a variety of additional physical interactions, students deepen conceptual understanding of AI while applying locally relevant STEM applications in a responsible and accessible way. 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.

Research team

  • George M BarnettPI
  • Helen ZhangCo-PI
  • Avneet HiraCo-PI

LOADING MOONBASE SCORE

Directorate for Technology, Innovation, and Partnerships4082PYXXDB NSF TRUST FUNDPartnership Donorsworldcomplementaryresponsibleactivitieslocallycoursesdeepenunderstandingimpactswhich

Questions for Boston College

Answered by the team behind this research.

Same researchers, same institution, same topic, scored first.