AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 535 · 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.True or false: “follows fixed rules” describes how AI works. (a) False (b) True
2. 2.True or false: “testing on training data” is good for training a model. (a) True (b) False
3. 3.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
4. 4.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
5. 5.💬 What do we call the request you type to a generative AI? (a) a label (b) a prompt (c) a password (d) a battery
6. 6.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) check it on paper (c) never do maths (d) copy it straight away
7. 7.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
8. 8.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
9. 9.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
10. 10.Which of these uses AI? (a) a printed timetable (b) a map predicting traffic (c) a microwave timer (d) a calculator
11. 11.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
12. 12.📱 What is the AI doing here: a car camera reading a speed sign? (a) generating (b) recognising (c) predicting (d) recommending
13. 13.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) False (b) True
14. 14.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) the learned patterns (d) naming a new fruit photo
15. 15.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
16. 16.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
17. 17.🧮 Which of these is NOT AI? (a) a basic calculator (b) a spam filter (c) voice typing (d) face unlock
18. 18.Which of these is the model? (a) 500 labelled leaf photos (b) labelled fruit photos (c) old emails marked spam (d) the learned patterns
19. 19.Which of these is a fact about AI? (a) confident means correct (b) AI is never wrong (c) AI can mix up numbers (d) AI always checks facts
20. 20.Which of these is a fact about AI? (a) AI is never wrong (b) AI has real feelings (c) AI knows everything (d) AI learns from data
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.True or false: “a cartoon of a dancing elephant” asks for an image. (a) True (b) False
23. 23.Which of these is not AI? (a) an AI chatbot (b) an app translating signs (c) a doorbell (d) a voice assistant
24. 24.Which of these describes how a normal program works? (a) never learns from data (b) gives a likely answer (c) learns from examples (d) handles unseen examples
25. 25.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
26. 26.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) music or sound (b) text (c) an image
27. 27.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
28. 28.🔍 Which is the odd one out? (a) AI is never wrong (b) AI can mix up numbers (c) AI answers need checking (d) AI can make up facts
29. 29.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) only on weekends (d) no, it finds patterns
30. 30.True or false: converting metres into centimetres needs AI that learns from examples. (a) False (b) True
31. 31.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
32. 32.True or false: “it has a neat layout” is a real way to check an AI answer. (a) True (b) False
33. 33.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
34. 34.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
35. 35.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
36. 36.Which of these is the model? (a) naming a new leaf (b) labelled fruit photos (c) flagging a new email (d) the trained program
37. 37.🔍 Which is the odd one out? (a) video suggestions (b) a torch (c) an app translating signs (d) a map predicting traffic
38. 38.True or false: “a summary of chapter 3” asks for music or sound. (a) True (b) False
39. 39.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
40. 40.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) sleeping (c) singing (d) predicting

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