AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 484 · 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.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
2. 2.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
3. 3.🔍 Which is the odd one out? (a) a voice assistant (b) a calculator (c) a light switch (d) a printed timetable
4. 4.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) yes, it can think (d) no, it follows rules
5. 5.Which of these is a fact about AI? (a) AI knows everything (b) AI has real feelings (c) AI is never wrong (d) AI can mix up numbers
6. 6.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) recognising (b) recommending (c) generating (d) predicting
7. 7.Which of these uses AI? (a) a stopwatch (b) photos grouped by face (c) a torch (d) a calculator
8. 8.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
9. 9.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
10. 10.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
11. 11.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
12. 12.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) guess (c) ask it to repeat (d) look in your textbook
13. 13.🏠 AI or not AI: a torch? (a) not AI (b) uses AI
14. 14.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
15. 15.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) music or sound (b) an image (c) text
16. 16.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
17. 17.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
19. 19.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
20. 20.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
21. 21.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it learns from examples (c) it is always right (d) it has a screen
22. 22.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
23. 23.Which of these is good for training a model? (a) labels added at random (b) new data for testing (c) wrong labels (d) testing on training data
24. 24.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
25. 25.Which of these describes how a normal program works? (a) makes a best guess (b) gives a likely answer (c) learns from examples (d) never learns from data
26. 26.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
27. 27.🔍 Which is the odd one out? (a) new data for testing (b) blurry, unclear photos (c) only one kind of example (d) testing on training data
28. 28.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
29. 29.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
30. 30.🏷️ 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
31. 31.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
32. 32.Which of these is bad for training a model? (a) many varied examples (b) blurry, unclear photos (c) clear, sharp examples (d) checking labels twice
33. 33.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
34. 34.True or false: a book app suggesting a story like your last one is AI generating something new. (a) False (b) True
35. 35.🔍 Which is the odd one out? (a) AI is never wrong (b) AI learns from data (c) AI answers need checking (d) AI copies data patterns
36. 36.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
37. 37.Which of these is a fact about AI? (a) AI copies data patterns (b) AI is never wrong (c) AI knows everything (d) AI always checks facts
38. 38.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) predicting (c) recommending (d) recognising
39. 39.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) many labelled photos (d) a song about dogs
40. 40.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) music or sound (b) text (c) an image

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