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AI Scholars Program: Scaling AI Literacy Through K-12 Outreach

  • Xiaoyi Tian
  • , Yasitha Rajapaksha
  • , Ally Limke
  • , Clara Dimarco
  • , Emily Bryans Dobar
  • , Marnie Hill
  • , Jamie Payton
  • , Tiffany Barnes

Research output: Contribution to journalConference articlepeer-review

Abstract

As artificial intelligence (AI) becomes increasingly integrated into daily life, there is a critical need for developing AI literacy across all educational levels. However, current AI education remains largely confined to college-level computer science classrooms with limited access for K-12 learners. We present the AI Scholars Program, a novel approach that addresses the AI education gap by preparing college computing students to serve as AI education ambassadors in their communities and empowering K-12 teachers to adopt AI education practices in their classrooms. This experience report presents the curriculum and its outcomes after one round of refinement. The program offers structured AI learning through bi-weekly webinars, resources, and collaborative opportunities to form teams and conduct community outreach projects. Our program invited 63 scholars from 30 institutions across the U.S., including 51 college students and 12 K-12 teachers. Their outreach impacted over 230 K-12 learners. We examine program outcomes for participants and projects through pre/post surveys measuring computing attitudes and self-efficacy for teaching AI, scholar interviews, and outreach project reports. We share lessons learned and challenges for designing similar programs, highlighting the importance of involving educators for effective community-engaged AI education. The program creates a sustainable pipeline for college students to develop technical skills and leadership while addressing K-12 AI education shortages. We contribute insights for scaling AI literacy and broadening participation in computing.

Original languageEnglish (US)
Pages (from-to)40704-40712
Number of pages9
JournalProceedings of the AAAI Conference on Artificial Intelligence
Volume40
Issue number47
DOIs
StatePublished - 2026
Event40th AAAI Conference on Artificial Intelligence, AAAI 2026 - Singapore, Singapore
Duration: Jan 20 2026Jan 27 2026

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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