They're all using it
Let's be honest. Your students use ChatGPT. For essays, case studies, summaries. And detection tools? They're bypassed in thirty seconds.
The question isn't how to prevent cheating. The question is: why does the current assessment make cheating so easy?
The problem is passive reproduction
When we ask students to summarize, synthesize, or analyze a standard case, we're asking them to do exactly what AI does best. We're evaluating their ability to rephrase — not to think.
The fix: assess the process, not the product
What if, instead of grading a final deliverable, we assessed the journey to get there?
That's the principle behind inquiry-based learning:
- Students must ask the right questions to people who won't volunteer everything
- They must cross-reference contradictory information
- They must justify their choices in a deliverable that reflects their investigation
ChatGPT can't do that. Because the inquiry process is unique to each team.
How MEτiS makes it real
MEτiS turns any lesson into an immersive simulation. Students interrogate AI characters who each have their own personality, knowledge — and silences. The final deliverable only has value because it reflects an investigation conducted by the team.
Two teams facing the same problem never reach the same conclusion — because they didn't run the same investigation.
AI is no longer a shortcut. It's part of the world the student explores.