What learning is this assignment actually assessing?
For faculty
Teach the process—not just the prohibition.
RAFT gives students concrete actions while preserving faculty judgment about what each discipline, course, and assignment needs.
Start with the learning
Assignment clarity is more useful than a universal AI rule.
Students need to know which thinking or performance must remain theirs, where AI may support the process, and what evidence will demonstrate learning.
Which steps must remain fully human to preserve that learning?
Where could AI provide useful practice, feedback, or extension?
Which uses need permission, disclosure, or prohibition?
What light-touch process evidence would make learning visible?
How will students verify and briefly defend the final work?
Copy-ready structure
Make AI expectations visible at the assignment level.
This assignment is designed to help you practice or demonstrate [name the learning].
You may use AI to [specific uses].
Before using AI to [specific uses], ask me and/or document the use by [method].
Do not use AI to [specific uses], because those steps are the learning this task is designed to assess.
Submit or retain [notes, drafts, source checks, version history, process log, or oral explanation].
Visible process, appropriate burden
Choose the lightest evidence that fits the goal.
Process evidence should support learning and transparency—not become surveillance or busywork.
Ready-to-run faculty development
A 60-minute session that ends with a real course change.
Participants learn the framework, work a case, audit one assignment, and leave with draft student-facing language.
View the session plan- 05 min Decision scenario
- 07 min Augment versus replace
- 10 min RAFT walkthrough
- 13 min Worked case
- 13 min Assignment audit
- 12 min Draft, share, commit