AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 245 · 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) ask different people (b) test on one group only (c) copy old unfair choices (d) skip testing
2. 2.True or false: “long answers are true” is a fact about AI. (a) False (b) True
3. 3.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
4. 4.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
5. 5.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
6. 6.🔍 Which is the odd one out? (a) a stopwatch (b) a torch (c) photos grouped by face (d) a printed timetable
7. 7.True or false: “try the sum on paper” is NOT a real way to check an AI answer. (a) True (b) False
8. 8.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
10. 10.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
12. 12.Which of these is a fact about AI? (a) long answers are true (b) AI is never wrong (c) AI always checks facts (d) AI can mix up numbers
13. 13.Which of these is a myth about AI? (a) long answers are true (b) AI can be wrong (c) AI can mix up numbers (d) AI answers need checking
14. 14.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
15. 15.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
16. 16.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) a song about dogs (d) many labelled photos
17. 17.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) naming a new leaf (d) past weather records
18. 18.True or false: an AI tool making a brand-new tune is AI recognising something. (a) True (b) False
19. 19.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) recognising (b) generating (c) predicting (d) recommending
20. 20.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
21. 21.Which of these is good for training a model? (a) only one kind of example (b) clear, sharp examples (c) labels added at random (d) testing on training data
22. 22.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) ask different people (d) skip testing
23. 23.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
24. 24.✍️ How does an AI chatbot write its replies? (a) asks a person (b) copies one website (c) uses magic (d) predicts likely words
25. 25.🔍 Which is the odd one out? (a) writing a new poem (b) composing a new tune (c) spotting a sick leaf (d) making up a story
26. 26.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) False (b) True
27. 27.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recognising (b) recommending (c) predicting (d) generating
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
29. 29.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
30. 30.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) check it on paper (c) ask it to hurry (d) copy it straight away
31. 31.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
32. 32.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
34. 34.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
35. 35.🏠 AI or not AI: video suggestions? (a) not AI (b) uses AI
36. 36.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
37. 37.🔍 Which is the odd one out? (a) making up a story (b) unlocking with a face (c) predicting rain (d) spotting a sick leaf
38. 38.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
39. 39.Which of these describes how a normal program works? (a) gives a likely answer (b) spots patterns in data (c) handles unseen examples (d) does exactly as coded
40. 40.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) True (b) False

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