AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 221 · 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.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it uses electricity (c) it has a screen (d) it learns from examples
2. 2.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it may get it wrong (d) it will be perfect
3. 3.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
4. 4.Which of these is good for training a model? (a) testing on training data (b) only one kind of example (c) wrong labels (d) correct labels
5. 5.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
6. 6.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) balance the data (d) add varied examples
7. 7.🔍 Which is the odd one out? (a) making up a story (b) unlocking with a face (c) composing a new tune (d) inventing a recipe
8. 8.🔍 Which is the odd one out? (a) many varied examples (b) correct labels (c) wrong labels (d) new data for testing
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
10. 10.🔍 Which is the odd one out? (a) a map predicting traffic (b) a torch (c) a doorbell (d) a digital watch
11. 11.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) typing a new spoken word (d) naming a new fruit photo
12. 12.🔍 Which is the odd one out? (a) predicting rain (b) spotting a sick leaf (c) writing a new poem (d) turning speech to text
13. 13.Which of these helps reduce bias? (a) copy old unfair choices (b) add varied examples (c) add more of the same (d) ignore complaints
14. 14.True or false: “the trained program” is the model. (a) True (b) False
15. 15.True or false: an online shop showing “you may also like” is AI recommending something. (a) True (b) False
16. 16.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
18. 18.🔍 Which is the odd one out? (a) voice typing (b) a microwave timer (c) an AI chatbot (d) a map predicting traffic
19. 19.Which of these uses AI? (a) a fan regulator (b) a stopwatch (c) a kitchen weighing scale (d) an app translating signs
20. 20.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
21. 21.True or false: “match it to the textbook” is a real way to check an AI answer. (a) False (b) True
22. 22.True or false: “improves with more data” describes how AI works. (a) True (b) False
23. 23.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
24. 24.Which of these is a myth about AI? (a) AI can mix up numbers (b) confident means correct (c) AI copies data patterns (d) AI can be wrong
25. 25.True or false: “a soft lullaby melody” asks for an image. (a) True (b) False
26. 26.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
27. 27.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
28. 28.True or false: “naming a new leaf” is a prediction. (a) False (b) True
29. 29.Which of these is good for training a model? (a) blurry, unclear photos (b) very few examples (c) many varied examples (d) copies of one photo
30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
31. 31.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
32. 32.Which of these is not AI? (a) video suggestions (b) a map predicting traffic (c) a stopwatch (d) a voice assistant
33. 33.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
34. 34.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
35. 35.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) nobody at all (d) people
36. 36.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) spots patterns in data (d) never learns from data
37. 37.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) fix wrong labels (d) check who is missing
39. 39.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) fix wrong labels (d) copy old unfair choices
40. 40.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True

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