AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 654 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.🔍 Which is the odd one out? (a) AI has real feelings (b) AI can be wrong (c) AI answers need checking (d) AI learns from data
2. 2.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
3. 3.🔍 Which is the odd one out? (a) checking labels twice (b) many varied examples (c) blurry, unclear photos (d) clear, sharp examples
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
5. 5.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI is never wrong (c) AI has real feelings (d) confident means correct
6. 6.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
7. 7.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
8. 8.🤖 What does AI stand for? (a) actual information (b) app installer (c) artificial intelligence (d) automatic internet
9. 9.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
10. 10.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
11. 11.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
12. 12.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
13. 13.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
15. 15.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) balance the data (d) test on one group only
16. 16.True or false: recognising a bird from its song needs AI that learns from examples. (a) False (b) True
17. 17.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
18. 18.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
19. 19.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
20. 20.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
21. 21.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) writing a new poem (c) suggesting a video (d) creating a cartoon
22. 22.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
23. 23.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
24. 24.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) tomorrow’s rain guess (d) past weather records
25. 25.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
26. 26.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
27. 27.✨ Generative or not: unlocking with a face? (a) sorts or predicts (b) makes something new
28. 28.True or false: an AI tool making a brand-new tune is AI generating something new. (a) False (b) True
29. 29.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
30. 30.True or false: a car camera reading a speed sign is AI predicting something. (a) False (b) True
31. 31.True or false: “confident means correct” is a fact about AI. (a) False (b) True
32. 32.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
33. 33.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a list of rules only (d) a song about dogs
34. 34.Which of these is the model? (a) what training builds (b) naming a new leaf (c) 500 labelled leaf photos (d) old emails marked spam
35. 35.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
37. 37.True or false: “many varied examples” is bad for training a model. (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) creating a cartoon (b) drawing a new picture (c) writing quiz questions (d) predicting rain
39. 39.Which of these describes how AI works? (a) one set rule per case (b) same steps every time (c) never learns from data (d) makes a best guess
40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam

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