Twelve classroom activities that use AI well

The weakness of most AI lesson ideas is that they use AI to do faster what students should be doing slowly. These are activities where the tool contributes something a teacher could not easily provide alone — and where, in several cases, the model being wrong is the entire point.

Activities that teach scepticism

1. Find the error

Generate an explanation in your subject containing a plausible mistake. Students work in pairs to find it against a real source. Nothing teaches the limits of fluent output like catching it out, and they remember the lesson because they did the catching.

2. Verify the citations

Ask for five sources on a topic, then have students try to find each one. Some will not exist. The discovery that a perfectly formatted reference is invented lands harder than any warning, and it stays with them.

3. Same question, three ways

Students ask the same factual question with different framings and compare answers. Where the answers diverge, they have found the edge of what the model reliably knows — which is a much more useful lesson than a rule about when to trust it.

Activities that build subject skill

4. Beat the model

Students write their answer first, then compare with the model's, then produce a better third version arguing why. This puts them in the position of critic, which is a higher-order task than either writing or copying.

5. Interrogate a source

Give students a primary source and have them use AI only to ask clarifying questions about vocabulary and context — never for interpretation. The analysis stays theirs; the barrier to entry drops.

6. Generate the counter-argument

Students write their position, then ask for the strongest objection to it, then respond. Building the steelman is the part students skip, and having one supplied means the response has to be real.

7. Explain it to a ten-year-old

The student writes the simple explanation; the model critiques whether it would actually land. Simplifying accurately requires understanding thoroughly, and this makes that visible.

Activities for practice and feedback

8. Endless practice items

Students generate more questions of a type they are struggling with, and mark their own against a worked example. This is the most straightforward use and one of the most effective.

9. Rubric self-check

Give students the rubric and have them ask what their own draft is missing before submitting. Most improvements are ones they could have made unaided and did not, because nobody prompted them at the right moment.

10. Vocabulary in context

Rather than a definitions list, students ask for the same term used in five different sentences and work out the meaning from use. Closer to how vocabulary is actually acquired.

Activities about AI itself

11. Write the class policy

Students draft their own rules for AI use in your subject and argue for them. They arrive at stricter rules than most teachers would impose, and having argued for them they follow them.

12. Where should this not be used?

Students identify tasks in their week where AI would be inappropriate, and say why. This produces better thinking about integrity than being told, and it surfaces uses staff had not considered.

Two things that make these work

Say what the activity is for at the start. "We are doing this to see where it fails" changes how students engage entirely.

And do them on a tool the school has filtered. An activity that sends thirty students to an unfiltered assistant to see what it gets wrong is a different lesson than the one you planned.