Professional development · Assessment & Academic Integrity in the Age of LLMs
Teaching Modern AI — grades 9-12
5.0 contact hours · 5 modules · Asynchronous, self-paced, online
This syllabus is public. Course content requires an active site license.
Learning objectives
What a participant can do afterwards
- Explain how generative AI changes the reliability of product-only assessment.
- Audit one assignment for AI vulnerability.
- Produce a band-appropriate academic integrity policy with assignment matrix.
Module agenda
300 contact minutes, itemised
| Module | Title | Components | Minutes |
|---|---|---|---|
| 1 | What this curriculum actually claims | Overview, Walkthrough, Practice | 60 |
| 2 | Teaching Units 1 through 4 without assuming ML fluency | Overview, Walkthrough, Practice | 60 |
| 3 | The hard conversations | Overview, Walkthrough, Practice | 60 |
| 4 | Assessment in this band | Overview, Walkthrough, Practice, Check | 60 |
| 5 | Your first two weeks | Overview, Walkthrough, Artifact, Reflection | 60 |
| Total | 300 minutes (5.0 contact hours) | ||
Required artifact
Module 5 — Your first two weeks
Participants produce a dated pacing plan for their own class: a day-by-day table across the first two weeks with real dates, the materials and evidence for each period, the adaptations their roster needs, and a written AI-use rule. It is specific enough that a covering colleague could teach from it.
Format and provider
- Provider
- Schoolhouse
- Format
- Asynchronous, self-paced, online
- Version
- v1.0 · as of 2026-08
- Contact hours
- 5.0