AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 492 · 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: “learns from examples” describes how a normal program works. (a) True (b) False
2. 2.🔍 Which is the odd one out? (a) photos in many lights (b) new data for testing (c) examples of every type (d) copies of one photo
3. 3.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
4. 4.True or false: a music app suggesting a song you may like is AI recommending something. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
6. 6.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
7. 7.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
8. 8.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
9. 9.True or false: “skip testing” helps reduce bias. (a) True (b) False
10. 10.True or false: “a poster of a rainforest” asks for an image. (a) True (b) False
11. 11.🔍 Which is the odd one out? (a) face unlock on a phone (b) a voice assistant (c) an app translating signs (d) a torch
12. 12.🔍 Which is the odd one out? (a) only one kind of example (b) blurry, unclear photos (c) labels added at random (d) checking labels twice
13. 13.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
14. 14.✅ Is this a real check of an AI answer: asking the same AI again? (a) a real check (b) not a real check
15. 15.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) reading number plates (c) drafting a letter (d) spotting a sick leaf
16. 16.Which of these describes how a normal program works? (a) spots patterns in data (b) handles unseen examples (c) learns from examples (d) follows fixed rules
17. 17.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) add more of the same (d) check who is missing
18. 18.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
19. 19.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
20. 20.True or false: recognising a bird from its song only needs a simple fixed rule. (a) True (b) False
21. 21.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
22. 22.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) False (b) True
23. 23.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) recommending (b) generating (c) recognising (d) predicting
24. 24.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
25. 25.Which of these is not AI? (a) an AI chatbot (b) face unlock on a phone (c) an app translating signs (d) a light switch
26. 26.Which of these describes how AI works? (a) learns from examples (b) uses rules people wrote (c) same steps every time (d) one set rule per case
27. 27.True or false: sorting names in A to Z order only needs a simple fixed rule. (a) False (b) True
28. 28.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) text (c) an image
29. 29.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
30. 30.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it has a screen (c) it uses electricity (d) it learns from examples
31. 31.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) old emails marked spam (d) flagging a new email
32. 32.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
33. 33.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) the trained program (d) flagging a new email
34. 34.🔍 Which is the odd one out? (a) sorting photos by face (b) spotting spam (c) drafting a letter (d) unlocking with a face
35. 35.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, it gets sad (c) only on weekends (d) yes, just like us
36. 36.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 be wrong
37. 37.True or false: a phone unlocking when it sees your face is AI recognising something. (a) False (b) True
38. 38.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) guess (c) look in your textbook (d) pick a lucky number
39. 39.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recognising (b) predicting (c) generating (d) recommending
40. 40.True or false: “500 labelled leaf photos” is training data. (a) False (b) True

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