AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 125 · 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.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
2. 2.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
3. 3.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
5. 5.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) True (b) False
6. 6.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
7. 7.True or false: “check who is missing” helps reduce bias. (a) False (b) True
8. 8.🔍 Which is the odd one out? (a) a digital watch (b) a fan regulator (c) a spam filter (d) a doorbell
9. 9.Which of these is training data? (a) the trained program (b) what training builds (c) tomorrow’s rain guess (d) recorded spoken words
10. 10.True or false: “a summary of chapter 3” asks for an image. (a) False (b) True
11. 11.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) what training builds (d) 500 labelled leaf photos
12. 12.True or false: “learns from examples” describes how AI works. (a) False (b) True
13. 13.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
14. 14.Which of these is the model? (a) what training builds (b) naming a new leaf (c) old emails marked spam (d) flagging a new email
15. 15.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) fix wrong labels (d) copy old unfair choices
16. 16.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) True (b) False
17. 17.Which of these is generative AI (it makes something new)? (a) spotting spam (b) turning speech to text (c) reading number plates (d) writing quiz questions
18. 18.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) flagging a new email (d) what training builds
19. 19.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) copy old unfair choices (d) add more of the same
20. 20.True or false: a video app suggesting what to watch next is AI recommending something. (a) False (b) True
21. 21.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it may get it wrong (d) it will shut down
22. 22.True or false: “correct labels” is good for training a model. (a) False (b) True
23. 23.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
24. 24.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
25. 25.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) no, it finds patterns (d) only on weekends
26. 26.🏷️ 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
27. 27.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
28. 28.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) music or sound (c) text
29. 29.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) only at night (d) no, it follows rules
30. 30.True or false: “a picture of a castle made of mangoes” asks for text. (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) photos in many lights (b) blurry, unclear photos (c) clear, sharp examples (d) correct labels
32. 32.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
33. 33.🎨 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
34. 34.Which of these uses AI? (a) a fan regulator (b) a stopwatch (c) video suggestions (d) a printed timetable
35. 35.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
36. 36.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
37. 37.Which of these is good for training a model? (a) labels added at random (b) new data for testing (c) copies of one photo (d) wrong labels
38. 38.Which of these is bad for training a model? (a) correct labels (b) only one kind of example (c) examples of every type (d) many varied examples
39. 39.🔍 Which is the odd one out? (a) wrong labels (b) examples of every type (c) testing on training data (d) labels added at random
40. 40.True or false: “ask different people” adds to bias. (a) False (b) True

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