We study how AI is changing education — and share what works.

Sections

  1. Focus areas

    • Evidence-based curriculum design for ages 8–13

    • Learning outcomes for computational thinking and AI literacy

    • Ethics & agency: how kids understand bias, data, and model limits

    • Tools & pedagogy: block vs text-based pathways

  2. Ongoing projects / publications

    • Program evaluation: pre/post learning gains for the 10-week Builder cohort (summary)

    • Pilot: creative AI studio — outcomes and portfolio readiness

    • (Placeholder) whitepaper: “Teaching ML Concepts to Middle-Schoolers: A Practical Framework” — link to download

  3. Get involved

    • For researchers: collaboration invites, data access agreements (privacy first), and IRB/ethics statements.

    • For funders & partners: partnership models, pilot opportunities, and evaluation services.

  4. Data & ethics

    • Explain consent, anonymization, and no use of student data for model training without consent.

Call to action: Download reports / Propose a collaboration