5
Policy Tracks
Build #1
Generate implementation-ready policy language, family communication, and AI usage rubrics that protect student thinking while supporting teacher momentum.
5
Policy Tracks
5
Priority Levers
4
Constraint Modes
Choose your implementation context, then tune priorities and constraints. The outputs update instantly.
01. Select Track
02. Priorities
03. Constraints
04. Implementation Window
Signature Move
Define where AI is required, optional, or prohibited in each unit.
Immediate adoption language for teachers
Transparent narrative you can send this week
Dear Families,
This term, our high school team is using AI in structured ways to strengthen thinking, not bypass it.
Our focus areas are protect student thinking and academic integrity. We explicitly teach students when AI can support planning, research, or revision and when original work must be produced independently.
Because we are navigating no paid ai tools, we are using consistent routines across classes so expectations stay clear and equitable.
You can expect transparent communication, visible student process logs, and assignments that require students to explain their reasoning in their own voice.
If you have questions, we welcome them. We want this work to be rigorous, ethical, and deeply human.
Assess reasoning quality instead of output polish
| Criterion | Emerging | Proficient | Advanced |
|---|---|---|---|
| Transparency of AI Use | AI support is hidden or vaguely referenced. | AI contributions are logged with prompts and revisions. | Student explains why specific AI outputs were accepted or rejected. |
| Quality of Reasoning | Claims are copied without independent explanation. | Claims are explained and linked to evidence. | Student anticipates counterarguments and defends decisions orally. |
| Evidence Verification | Sources are unverified or mismatched. | Sources are credible and properly attributed. | Student identifies source limitations and triangulates evidence. |
| Original Contribution | Final product mirrors AI-generated language. | Student voice and decisions are clearly visible. | Student synthesizes AI support into a distinct and defensible perspective. |
Time-boxed plan aligned to your rollout window.
Step 1
Month 1: Publish baseline guidance and train all pilot teachers on shared routines.
Step 2
Month 2: Collect assignment artifacts and host cross-team moderation protocols.
Step 3
Month 3: Analyze student reasoning quality and teacher workload data.
Step 4
Month 4: Expand to remaining teams and finalize family-facing communication.