AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 534 · 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 is the odd one out? (a) AI copies data patterns (b) AI can make up facts (c) AI answers need checking (d) long answers are true
2. 2.Which of these is not AI? (a) a voice assistant (b) an image generator (c) video suggestions (d) a fan regulator
3. 3.Which of these is a myth about AI? (a) AI can make up facts (b) AI can be wrong (c) long answers are true (d) AI learns from data
4. 4.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) music or sound (c) an image
5. 5.🔍 Which is the odd one out? (a) writing a new poem (b) sorting photos by face (c) composing a new tune (d) creating a cartoon
6. 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
7. 7.Which of these is training data? (a) recorded spoken words (b) naming a new leaf (c) typing a new spoken word (d) flagging a new email
8. 8.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
9. 9.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
10. 10.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) use one group only (d) balance the data
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
12. 12.🔍 Which is the odd one out? (a) a doorbell (b) a fan regulator (c) an AI chatbot (d) a printed timetable
13. 13.Which of these is bad for training a model? (a) checking labels twice (b) photos in many lights (c) blurry, unclear photos (d) many varied examples
14. 14.Which of these helps reduce bias? (a) check who is missing (b) use one group only (c) skip testing (d) copy old unfair choices
15. 15.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
16. 16.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) music or sound (c) text
17. 17.Which of these uses AI? (a) face unlock on a phone (b) a kitchen weighing scale (c) a doorbell (d) a printed timetable
18. 18.🔍 Which is the odd one out? (a) new data for testing (b) wrong labels (c) many varied examples (d) examples of every type
19. 19.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
20. 20.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
21. 21.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
22. 22.Which of these is AI that sorts, spots or predicts (not generative)? (a) reading number plates (b) writing quiz questions (c) drafting a letter (d) making up a story
23. 23.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) people (d) the weather
24. 24.🔍 Which is the odd one out? (a) a light switch (b) a spam filter (c) a kitchen weighing scale (d) a digital watch
25. 25.True or false: “AI learns from data” is a myth about AI. (a) False (b) True
26. 26.True or false: “labelled fruit photos” is training data. (a) True (b) False
27. 27.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
28. 28.🏷️ 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
29. 29.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) very few examples (d) clear, sharp examples
30. 30.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) the trained program (d) 500 labelled leaf photos
31. 31.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
32. 32.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) copies one website (c) uses magic (d) asks a person
33. 33.Which of these is not AI? (a) face unlock on a phone (b) an AI chatbot (c) a torch (d) an app translating signs
34. 34.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) better at its task (d) slower to switch on
35. 35.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
36. 36.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) add varied examples (d) skip testing
37. 37.Which of these describes how a normal program works? (a) improves with more data (b) gives a likely answer (c) follows fixed rules (d) handles unseen examples
38. 38.🤖 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
39. 39.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) music or sound (c) an image
40. 40.Which of these describes how a normal program works? (a) spots patterns in data (b) one set rule per case (c) learns from examples (d) makes a best guess

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