AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 430 · 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: a music app suggesting a song you may like is AI recommending something. (a) False (b) True
2. 2.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
3. 3.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
4. 4.Which of these is not AI? (a) a voice assistant (b) an AI chatbot (c) a kitchen weighing scale (d) an image generator
5. 5.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) a map predicting traffic (c) an image generator (d) face unlock on a phone
6. 6.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) only one kind of example (d) examples of every type
7. 7.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
8. 8.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
9. 9.Which of these is training data? (a) old emails marked spam (b) what training builds (c) naming a new leaf (d) flagging a new email
10. 10.Which of these is AI that sorts, spots or predicts (not generative)? (a) unlocking with a face (b) composing a new tune (c) writing quiz questions (d) writing a new poem
11. 11.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
12. 12.True or false: converting metres into centimetres only needs a simple fixed rule. (a) True (b) False
13. 13.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
14. 14.Which of these is a prediction? (a) recorded spoken words (b) naming a new leaf (c) 500 labelled leaf photos (d) what training builds
15. 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
16. 16.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) check who is missing (d) skip testing
17. 17.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
18. 18.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
19. 19.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) labelled fruit photos (d) typing a new spoken word
20. 20.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) printing (c) recommending (d) charging
21. 21.🔍 Which is the odd one out? (a) spotting spam (b) unlocking with a face (c) drafting a letter (d) spotting a sick leaf
22. 22.🔍 Which is the odd one out? (a) long answers are true (b) AI always checks facts (c) AI knows everything (d) AI can make up facts
23. 23.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) only at night (c) yes, it is smart (d) no, it follows rules
24. 24.🔍 Which is the odd one out? (a) wrong labels (b) very few examples (c) labels added at random (d) photos in many lights
25. 25.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
26. 26.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) predicting (c) drawing (d) sleeping
27. 27.🔍 Which is the odd one out? (a) AI can be wrong (b) AI can make up facts (c) AI copies data patterns (d) AI always checks facts
28. 28.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
29. 29.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
30. 30.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) True (b) False
31. 31.Which of these describes how AI works? (a) never learns from data (b) same steps every time (c) gives a likely answer (d) follows fixed rules
32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
33. 33.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
34. 34.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) creating a cartoon (c) turning speech to text (d) reading number plates
35. 35.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
36. 36.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
37. 37.🔍 Which is the odd one out? (a) testing on training data (b) correct labels (c) labels added at random (d) very few examples
38. 38.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) add varied examples (d) add more of the same
39. 39.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it uses electricity (c) it is always right (d) it learns from examples
40. 40.Which of these is not AI? (a) a calculator (b) a spam filter (c) photos grouped by face (d) a voice assistant

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