AI for practice questions
Definition and example
AI for practice questions is the focus of this lesson. Generate 20 MCQs, then check every answer key by hand. Models love a wrong key. The task asks you to apply that idea in a small example: What must you check on generated questions. Before you run the code, predict what should happen. Then Inspect the result produced by the exercise and compare it with your prediction. If the result differs, change one relevant line and run it again. Testing one change at a time makes the cause of a result easier to understand.
What must you check on generated questions?
Pick an answer to check
Pick the right option in the middle column. A wrong answer keeps the next task locked.
Why this works
One question, one correct answer. The explanation appears as soon as you are right, and the next task unlocks with it.
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Incorrect attempts before answer: 0 / 3
Track progress
0 passed of 56 tasks
Pass every check or use one of your available skips to open the next task.
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Need a hand?
Worked answer
You have made three incorrect attempts. Review this example, close the window, and continue practising.