AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 439 · 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.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
2. 2.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
3. 3.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
4. 4.Which of these is not AI? (a) a map predicting traffic (b) an app translating signs (c) a fan regulator (d) an AI chatbot
5. 5.True or false: “AI has real feelings” is a fact about AI. (a) False (b) True
6. 6.True or false: “AI can be wrong” is a myth about AI. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) confident means correct (b) AI always checks facts (c) AI is never wrong (d) AI answers need checking
8. 8.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
9. 9.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
10. 10.✍️ How does an AI chatbot write its replies? (a) copies one website (b) asks a person (c) predicts likely words (d) uses magic
11. 11.True or false: “skip testing” helps reduce bias. (a) False (b) True
12. 12.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
13. 13.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
14. 14.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
15. 15.Which of these describes how a normal program works? (a) gives a likely answer (b) never learns from data (c) handles unseen examples (d) makes a best guess
16. 16.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
18. 18.Which of these is good for training a model? (a) testing on training data (b) only one kind of example (c) examples of every type (d) labels added at random
19. 19.True or false: “a cheerful tune for Sports Day” asks for text. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
21. 21.True or false: “AI can be wrong” is a fact about AI. (a) True (b) False
22. 22.Which of these helps reduce bias? (a) fix wrong labels (b) copy old unfair choices (c) skip testing (d) use one group only
23. 23.True or false: “write a poem about the monsoon” asks for music or sound. (a) True (b) False
24. 24.True or false: “labels added at random” is bad for training a model. (a) False (b) True
25. 25.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
26. 26.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) add more of the same (d) ask different people
27. 27.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
28. 28.🔍 Which is the odd one out? (a) a voice assistant (b) a doorbell (c) a map predicting traffic (d) photos grouped by face
29. 29.Which of these adds to bias? (a) test on many groups (b) copy old unfair choices (c) balance the data (d) add varied examples
30. 30.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) text (c) music or sound
31. 31.💬 What do we call the request you type to a generative AI? (a) a label (b) a password (c) a prompt (d) a battery
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
33. 33.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) fix wrong labels (d) skip testing
34. 34.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
35. 35.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) AI is never wrong (b) confident means correct (c) AI can be wrong (d) long answers are true
37. 37.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
38. 38.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
39. 39.Which of these is a fact about AI? (a) long answers are true (b) AI can make up facts (c) confident means correct (d) AI knows everything
40. 40.🧮 Which of these is NOT AI? (a) a basic calculator (b) voice typing (c) a spam filter (d) face unlock

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