AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 170 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
2. 2.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) add more of the same (d) copy old unfair choices
3. 3.🔍 Which is the odd one out? (a) unlocking with a face (b) creating a cartoon (c) drafting a letter (d) writing quiz questions
4. 4.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
6. 6.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) generating (c) recommending (d) predicting
7. 7.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
8. 8.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
9. 9.🔍 Which is the odd one out? (a) a spam filter (b) photos grouped by face (c) a calculator (d) a voice assistant
10. 10.🔍 Which is the odd one out? (a) blurry, unclear photos (b) checking labels twice (c) only one kind of example (d) very few examples
11. 11.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
12. 12.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
13. 13.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
14. 14.🔍 Which is the odd one out? (a) labels added at random (b) new data for testing (c) correct labels (d) checking labels twice
15. 15.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
16. 16.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
17. 17.Which of these adds to bias? (a) check who is missing (b) copy old unfair choices (c) ask different people (d) fix wrong labels
18. 18.Which of these is not AI? (a) face unlock on a phone (b) a microwave timer (c) a spam filter (d) video suggestions
19. 19.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
20. 20.True or false: “AI can mix up numbers” is a myth about AI. (a) True (b) False
21. 21.Which of these is training data? (a) flagging a new email (b) old emails marked spam (c) naming a new leaf (d) the learned patterns
22. 22.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) actual information (d) app installer
23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
24. 24.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) checking labels twice (d) wrong labels
25. 25.True or false: a video app suggesting what to watch next is AI predicting something. (a) False (b) True
26. 26.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) predicting (c) singing (d) sleeping
27. 27.🔍 Which is the odd one out? (a) photos in many lights (b) very few examples (c) clear, sharp examples (d) correct labels
28. 28.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) test on many groups (d) add varied examples
29. 29.True or false: “check who is missing” helps reduce bias. (a) False (b) True
30. 30.Which of these is a fact about AI? (a) AI knows everything (b) AI copies data patterns (c) AI is never wrong (d) AI has real feelings
31. 31.🔍 Which is the odd one out? (a) drawing a new picture (b) creating a cartoon (c) spotting spam (d) writing quiz questions
32. 32.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
33. 33.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
34. 34.Which of these is not AI? (a) photos grouped by face (b) voice typing (c) a doorbell (d) an app translating signs
35. 35.Which of these describes how AI works? (a) does exactly as coded (b) never learns from data (c) learns from examples (d) one set rule per case
36. 36.🔍 Which is the odd one out? (a) spotting a sick leaf (b) inventing a recipe (c) writing a new poem (d) writing quiz questions
37. 37.True or false: “a picture of a castle made of mangoes” asks for an image. (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) use one group only (d) test on one group only
39. 39.🤖 Who builds and trains AI systems? (a) the weather (b) people (c) nobody at all (d) the Moon
40. 40.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) change colour (d) slower to switch on

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