For Practitioners

AAB helps educators and program leaders document real AI education practice in a neutral, structured way—so others can learn from successes and failures.

Independent Non-profit Evidence-based
Practitioners

Who this page is for

  • K–12 teachers and instructional leaders
  • After-school center operators
  • Library and community program educators
  • Curriculum facilitators and coaches
Goal: Make real AI education practice visible, comparable, and learnable—without marketing pressure.

What you get from AAB

  • Practical examples of implementations in diverse contexts
  • Reusable documentation templates (case + pilot)
  • Access to lessons learned—including what didn’t work
  • Shared safety practices and “what to watch for” signals
  • A public record you can cite when sharing your work

What you can contribute

Case Registry (practice documentation)

  • Program context (age, setting, duration)
  • What you actually did (workflow, tools, facilitation)
  • Observed learner engagement and outcomes
  • Constraints (time, devices, staffing)
  • Lessons learned

Pilot Registry (experimentation documentation)

  • Pilot objective and what you were testing
  • How you checked impact (simple evaluation is fine)
  • Risk mitigation (privacy, safety, bias)
  • What changed after the pilot
  • Must be an AAB-authorized partner to submit a pilot registry
Important: Inclusion does not imply endorsement. AAB preserves structured documentation for public reference.

Privacy & student data

  • Do not submit student-identifiable information.
  • Use aggregated or anonymized outcomes.
  • Describe data handling practices at a high level (metadata only).

How to get started

  1. Browse similar cases in the registry.
  2. Pick a documentation template (case or pilot).
  3. Submit your entry (or contact AAB for assisted documentation).
  4. Optionally join a working group to help improve templates.

Suggested working groups (optional)

  • Documentation quality: improve clarity and comparability
  • Safety & privacy practices: shared checklists
  • Assessment signals: what counts as evidence in practice