Why it works
AI detectors are unreliable and produce false positives, sometimes flagging honest work, especially from multilingual students. The more durable response is to define, per task, what AI use is acceptable and what crosses into doing the thinking for the student, teach that explicitly, and design tasks where the thinking is visible.
The research: Research on AI-detector reliability and false positives; guidance on academic integrity.
The run-of-show
Choose your slot. The agenda, timings, and length update to match.
The core activity: set the AI line for one task
Teachers leave having set a clear AI line for one assignment and redesigned it for visible thinking.
- Pick an upcoming assignment.
- Decide what AI use is acceptable for it and what is not, specifically.
- Plan how you will teach and communicate that line to students.
- Redesign one element so the student's own thinking is visible: a draft, an in-class step, an explanation.
Facilitator notes
- Set expectations per task, not one blanket rule.
- Be explicit and teach the line openly.
- Design for visible thinking, and do not rely on detectors.
Adapt it
- <b>Elementary:</b> focus on honesty norms and simple expectations.
- <b>Secondary:</b> task-specific AI policies and visible-thinking design.
- <b>All settings:</b> teach the line openly rather than hiding it.
Participant handout
One page for every teacher. Print it, or save it as a PDF.
Student AI Use: draw the line, teach it
<b>Clear and task-specific:</b> what AI use helps, what crosses the line, and designing for visible thinking.
- The assignment:
- What AI use is acceptable and what is not:
- How I teach and communicate the line:
- How I make thinking visible:
- How I avoid relying on detectors:
Make it stick
Line per task, thinking visible:
- Set the AI line for each task.
- Design assignments so thinking is visible.
- Bring a task with a clear AI line to the next PLC.