Practical guides
Learn with AI while keeping the effort
AI can structure practice and explain a difficulty, but copying a solution does not demonstrate learning. Use it to create opportunities to recall, attempt and correct, then test yourself without the model.
Method
1. Set a narrow goal
Choose a skill you can observe: explain a concept, solve a type of problem or recognise an error. Use identified course material and state your current level.
2. Attempt before viewing
Try a short exercise yourself. Ask for one hint instead of a complete solution. Compare your reasoning with the explanation and identify the first step where it diverges.
3. Test transfer
Solve a new example with different numbers or wording, without help. Explain why the method applies. If you fail again, revisit the underlying concept rather than memorising the original answer.
Example to adapt
From these course notes, ask me three questions one at a time. Wait for my attempt, then give a hint before showing a correction. Finish with a new problem using the same principle.
Checklist
Checks stay on this page; ticking a box does not automatically validate the result.
Deliverable
A practice session and a record of errors understood, not merely answers copied.
Limitations
Generated exercises and corrections can contain mistakes. Verify doubtful explanations with the course or another appropriate reference.
Sources for further reading and checking
These independent resources help you find a reference. Check the language and scope: a French resource may not describe rules in another country. These are not sources automatically consulted for generated answers.
- UNESCO — Guidance for generative AI in education and research
Guidance on generative AI in education and research.
Language: en · Scope: International
Link check: 2026-10-06 · These links are reading resources. The answer service does not consult them automatically. A checked link does not guarantee every document is current.