AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 504 · 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 of these is a myth about AI? (a) AI copies data patterns (b) AI can mix up numbers (c) AI can make up facts (d) AI has real feelings
2. 2.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
3. 3.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) recommending (c) charging (d) cooking
4. 4.True or false: finding 10% of a price only needs a simple fixed rule. (a) True (b) False
5. 5.🔍 Which is the odd one out? (a) AI learns from data (b) AI knows everything (c) AI can mix up numbers (d) AI can be wrong
6. 6.Which of these describes how AI works? (a) does exactly as coded (b) follows fixed rules (c) same steps every time (d) spots patterns in data
7. 7.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recommending (b) recognising (c) predicting (d) generating
8. 8.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) generating (b) predicting (c) recommending (d) recognising
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
10. 10.True or false: “skip testing” adds to bias. (a) True (b) False
11. 11.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
12. 12.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) an image (b) music or sound (c) text
13. 13.True or false: “wrong labels” is good for training a model. (a) True (b) False
14. 14.Which of these is good for training a model? (a) labels added at random (b) very few examples (c) only one kind of example (d) correct labels
15. 15.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) slower to switch on (d) better at its task
16. 16.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
17. 17.🤖 Who builds and trains AI systems? (a) nobody at all (b) people (c) the weather (d) the Moon
18. 18.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
19. 19.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
20. 20.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
21. 21.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
22. 22.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
23. 23.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
24. 24.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
25. 25.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) add varied examples (d) add more of the same
27. 27.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
28. 28.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
29. 29.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
30. 30.🔍 Which is the odd one out? (a) AI knows everything (b) AI has real feelings (c) AI can be wrong (d) AI always checks facts
31. 31.🔍 Which is the odd one out? (a) reading number plates (b) inventing a recipe (c) creating a cartoon (d) making up a story
32. 32.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) clean screens (d) print pages
33. 33.True or false: reading messy handwriting only needs a simple fixed rule. (a) True (b) False
34. 34.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) add more of the same (d) copy old unfair choices
35. 35.Which of these is bad for training a model? (a) very few examples (b) examples of every type (c) new data for testing (d) checking labels twice
36. 36.Which of these is good for training a model? (a) checking labels twice (b) copies of one photo (c) labels added at random (d) wrong labels
37. 37.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
38. 38.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
39. 39.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
40. 40.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)

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