AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 793 · 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.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
2. 2.🧮 Which of these is NOT AI? (a) a basic calculator (b) a spam filter (c) voice typing (d) face unlock
3. 3.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
4. 4.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
5. 5.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
6. 6.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will turn yellow (c) it will be perfect (d) it will shut down
7. 7.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
8. 8.🔍 Which is the odd one out? (a) AI always checks facts (b) AI can mix up numbers (c) AI has real feelings (d) confident means correct
9. 9.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) stop studying (c) share it online (d) trust the textbook
10. 10.Which of these describes how a normal program works? (a) spots patterns in data (b) uses rules people wrote (c) improves with more data (d) learns from examples
11. 11.True or false: converting metres into centimetres needs AI that learns from examples. (a) True (b) False
12. 12.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
13. 13.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
14. 14.Which of these is not AI? (a) a spam filter (b) photos grouped by face (c) video suggestions (d) a torch
15. 15.🔍 Which is the odd one out? (a) drawing a new picture (b) writing a new poem (c) suggesting a video (d) drafting a letter
16. 16.🤖 Who builds and trains AI systems? (a) the weather (b) people (c) the Moon (d) nobody at all
17. 17.Which of these is generative AI (it makes something new)? (a) predicting rain (b) spotting a sick leaf (c) inventing a recipe (d) reading number plates
18. 18.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) flagging a new email (d) naming a new leaf
19. 19.True or false: “AI can make up facts” is a fact about AI. (a) False (b) True
20. 20.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
21. 21.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) copy it straight away (c) ask it to hurry (d) check it on paper
22. 22.Which of these is bad for training a model? (a) checking labels twice (b) clear, sharp examples (c) many varied examples (d) only one kind of example
23. 23.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
24. 24.Which of these is generative AI (it makes something new)? (a) composing a new tune (b) turning speech to text (c) unlocking with a face (d) sorting photos by face
25. 25.True or false: “AI copies data patterns” is a fact about AI. (a) True (b) False
26. 26.Which of these is training data? (a) the trained program (b) what training builds (c) tomorrow’s rain guess (d) 500 labelled leaf photos
27. 27.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) flagging a new email (d) recorded spoken words
28. 28.Which of these is AI that sorts, spots or predicts (not generative)? (a) predicting rain (b) writing quiz questions (c) composing a new tune (d) drawing a new picture
29. 29.True or false: counting the words in an essay needs AI that learns from examples. (a) True (b) False
30. 30.Which of these is bad for training a model? (a) clear, sharp examples (b) examples of every type (c) correct labels (d) labels added at random
31. 31.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
32. 32.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
33. 33.True or false: a video app suggesting what to watch next is AI recognising something. (a) False (b) True
34. 34.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
35. 35.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) an image (b) text (c) music or sound
36. 36.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
37. 37.🔍 Which is the odd one out? (a) clear, sharp examples (b) copies of one photo (c) many varied examples (d) photos in many lights
38. 38.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
39. 39.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
40. 40.Which of these describes how a normal program works? (a) gives a likely answer (b) handles unseen examples (c) improves with more data (d) follows fixed rules

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