AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 507 · 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.Which of these describes how a normal program works? (a) learns from examples (b) one set rule per case (c) spots patterns in data (d) handles unseen examples
2. 2.Which of these is a myth about AI? (a) AI learns from data (b) AI answers need checking (c) AI can be wrong (d) AI knows everything
3. 3.🏠 AI or not AI: a doorbell? (a) not AI (b) uses AI
4. 4.Which of these is a myth about AI? (a) AI can be wrong (b) AI learns from data (c) AI answers need checking (d) AI has real feelings
5. 5.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
6. 6.🔍 Which is the odd one out? (a) AI can make up facts (b) long answers are true (c) AI can be wrong (d) AI answers need checking
7. 7.True or false: sorting names in A to Z order needs AI that learns from examples. (a) True (b) False
8. 8.Which of these describes how AI works? (a) same steps every time (b) follows fixed rules (c) handles unseen examples (d) never learns from data
9. 9.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) reading number plates (c) drafting a letter (d) suggesting a video
10. 10.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
11. 11.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) voice typing (d) a spam filter
12. 12.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
13. 13.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) never do maths (c) copy it straight away (d) ask it to hurry
14. 14.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, it gets sad (c) no, it finds patterns (d) yes, just like us
15. 15.Which of these is good for training a model? (a) copies of one photo (b) testing on training data (c) clear, sharp examples (d) labels added at random
16. 16.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) generating (c) recognising (d) recommending
17. 17.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
18. 18.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) one single photo (c) many labelled photos (d) a list of rules only
19. 19.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) recommending (c) charging (d) cooking
20. 20.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
21. 21.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
22. 22.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) inventing a recipe (c) suggesting a video (d) creating a cartoon
23. 23.Which of these describes how a normal program works? (a) spots patterns in data (b) improves with more data (c) makes a best guess (d) same steps every time
24. 24.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
25. 25.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) add more of the same (d) ask different people
26. 26.🔍 Which is the odd one out? (a) drawing a new picture (b) spotting a sick leaf (c) making up a story (d) drafting a letter
27. 27.Which of these is training data? (a) typing a new spoken word (b) labelled fruit photos (c) tomorrow’s rain guess (d) naming a new leaf
28. 28.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
29. 29.True or false: showing the time on a clock only needs a simple fixed rule. (a) True (b) False
30. 30.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
31. 31.Which of these is a fact about AI? (a) AI knows everything (b) AI can make up facts (c) AI is never wrong (d) AI has real feelings
32. 32.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
33. 33.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
34. 34.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
35. 35.True or false: an online shop showing “you may also like” is AI recommending something. (a) True (b) False
36. 36.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
37. 37.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
38. 38.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) True (b) False
39. 39.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
40. 40.True or false: “five quiz questions on fractions” asks for text. (a) True (b) False

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