AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 514 · 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: converting metres into centimetres needs AI that learns from examples. (a) False (b) True
2. 2.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) flagging a new email (d) labelled fruit photos
3. 3.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
4. 4.Which of these helps reduce bias? (a) ask different people (b) skip testing (c) use one group only (d) add more of the same
5. 5.True or false: “AI has real feelings” is a fact about AI. (a) True (b) False
6. 6.True or false: a shop guessing how many umbrellas will sell is AI recognising something. (a) True (b) False
7. 7.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
8. 8.Which of these is good for training a model? (a) testing on training data (b) labels added at random (c) photos in many lights (d) only one kind of example
9. 9.Which of these is not AI? (a) a kitchen weighing scale (b) a spam filter (c) photos grouped by face (d) an app translating signs
10. 10.✨ What does generative AI do? (a) makes new content (b) only stores files (c) charges batteries (d) only adds numbers
11. 11.Which of these describes how a normal program works? (a) learns from examples (b) spots patterns in data (c) uses rules people wrote (d) improves with more data
12. 12.Which of these describes how a normal program works? (a) gives a likely answer (b) does exactly as coded (c) improves with more data (d) learns from examples
13. 13.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
14. 14.Which of these is a fact about AI? (a) AI has real feelings (b) AI knows everything (c) AI can be wrong (d) confident means correct
15. 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
16. 16.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
17. 17.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
18. 18.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) predicting (b) recommending (c) generating (d) recognising
19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
20. 20.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
21. 21.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) stop studying (c) trust the AI (d) share it online
22. 22.🏷️ 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
23. 23.🧮 Which of these is NOT AI? (a) a basic calculator (b) a spam filter (c) voice typing (d) face unlock
24. 24.🔍 Which is the odd one out? (a) unlocking with a face (b) making up a story (c) spotting spam (d) suggesting a video
25. 25.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) recommending (c) recognising (d) predicting
26. 26.📱 What is the AI doing here: a keyboard guessing your next word? (a) predicting (b) recommending (c) recognising (d) generating
27. 27.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
28. 28.True or false: an image generator drawing a robot from a sentence is AI generating something new. (a) False (b) True
29. 29.Which of these uses AI? (a) a doorbell (b) a fan regulator (c) a stopwatch (d) a map predicting traffic
30. 30.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
31. 31.Which of these adds to bias? (a) balance the data (b) add more of the same (c) fix wrong labels (d) test on many groups
32. 32.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
33. 33.🔍 Which is the odd one out? (a) unlocking with a face (b) composing a new tune (c) creating a cartoon (d) drafting a letter
34. 34.🔍 Which is the odd one out? (a) checking labels twice (b) only one kind of example (c) copies of one photo (d) testing on training data
35. 35.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) yes, just like us (c) no, it finds patterns (d) only on weekends
36. 36.True or false: “learns from examples” describes how a normal program works. (a) False (b) True
37. 37.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
38. 38.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) recorded spoken words (d) typing a new spoken word
39. 39.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
40. 40.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI

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