Privacy-safe examples

Case Studies of Parent-Guided AI Literacy in Use

Case studies should show how a family, library, educator, or community group used a specific AI Education for Kids resource, what changed, and what evidence supports the result. Child identities must remain private unless written permission explicitly allows a specific disclosure.

By the AI Education for Kids Editorial Team · Materially reviewed August 3, 2026

Evidence standard: This page organizes public-benefit work and verification artifacts. It does not state or imply that any immigration category has been approved or guaranteed. Independent records, dated source files, and third-party confirmation are stronger than self-published claims.

Starter set

First three case studies to publish

Family four-week pathway

Problem: parent wants a safe start. Method: Learning Path Finder plus SAFE-BUILD-EXPLAIN. Measure: plan completion, confidence change, and one anonymized portfolio artifact.

Library safety workshop

Problem: community needs AI safety basics. Method: AI Safety Checklist and Family AI Agreement. Measure: attendance, downloads, parent questions, and partner confirmation.

Project-based learning group

Problem: students need hands-on learning. Method: AI Projects with build-test-explain notes. Measure: project completions, failures documented, and reflection quality.

Required case-study structure

Problem

State the learning or safety need.

Method

Name the exact tool, resource, lesson, or framework used.

Evidence

Include date, source, metric, artifact, quote permission, and limitation.

Result

Report measurable outcome and what should be improved next.