AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 863 · 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 does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
2. 2.Which of these is a myth about AI? (a) AI answers need checking (b) AI can be wrong (c) AI can mix up numbers (d) confident means correct
3. 3.True or false: “naming a new leaf” is the model. (a) False (b) True
4. 4.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
5. 5.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI answers need checking (c) AI knows everything (d) AI can make up facts
6. 6.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
7. 7.🔍 Which is the odd one out? (a) wrong labels (b) blurry, unclear photos (c) correct labels (d) only one kind of example
8. 8.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
9. 9.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
11. 11.True or false: “new data for testing” is good for training a model. (a) False (b) True
12. 12.🤖 Who builds and trains AI systems? (a) the Moon (b) nobody at all (c) the weather (d) people
13. 13.🔍 Which is the odd one out? (a) writing a new poem (b) turning speech to text (c) inventing a recipe (d) making up a story
14. 14.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) music or sound (c) an image
15. 15.Which of these is good for training a model? (a) testing on training data (b) only one kind of example (c) labels added at random (d) correct labels
16. 16.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) predicting rain (c) creating a cartoon (d) composing a new tune
17. 17.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
18. 18.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
19. 19.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
20. 20.True or false: “test on one group only” adds to bias. (a) True (b) False
21. 21.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
22. 22.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
23. 23.🔍 Which is the odd one out? (a) a voice assistant (b) a calculator (c) voice typing (d) face unlock on a phone
24. 24.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) add varied examples (d) skip testing
25. 25.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
26. 26.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
27. 27.True or false: “learns from examples” describes how a normal program works. (a) False (b) True
28. 28.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
29. 29.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
30. 30.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) slower to switch on (d) better at its task
31. 31.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
32. 32.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
33. 33.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
34. 34.🔍 Which is the odd one out? (a) AI can make up facts (b) AI has real feelings (c) AI can be wrong (d) AI can mix up numbers
35. 35.Which of these is the model? (a) what training builds (b) typing a new spoken word (c) flagging a new email (d) tomorrow’s rain guess
36. 36.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
37. 37.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
38. 38.🔍 Which is the odd one out? (a) a digital watch (b) a map predicting traffic (c) a microwave timer (d) a printed timetable
39. 39.🤖 What does AI stand for? (a) app installer (b) automatic internet (c) actual information (d) artificial intelligence
40. 40.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias

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