AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 131 · 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.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) printing (d) recommending
2. 2.Which of these describes how a normal program works? (a) follows fixed rules (b) improves with more data (c) gives a likely answer (d) learns from examples
3. 3.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
4. 4.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) a sticker on a laptop (d) the right answer tag
5. 5.True or false: “a soft lullaby melody” asks for music or sound. (a) False (b) True
6. 6.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
7. 7.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) the trained program (d) labelled fruit photos
8. 8.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
9. 9.📅 An AI gives a date for a history event. How can you check? (a) guess (b) ask it to repeat (c) look in your textbook (d) pick a lucky number
10. 10.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
11. 11.Which of these is good for training a model? (a) only one kind of example (b) copies of one photo (c) checking labels twice (d) blurry, unclear photos
12. 12.True or false: converting metres into centimetres needs AI that learns from examples. (a) False (b) True
13. 13.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
14. 14.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
15. 15.True or false: “never learns from data” describes how AI works. (a) False (b) True
16. 16.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
17. 17.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) an image (c) music or sound
18. 18.Which of these uses AI? (a) an AI chatbot (b) a digital watch (c) a light switch (d) a doorbell
19. 19.Which of these describes how a normal program works? (a) gives a likely answer (b) handles unseen examples (c) improves with more data (d) one set rule per case
20. 20.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) ignore complaints (d) check who is missing
21. 21.True or false: an online shop showing “you may also like” is AI generating something new. (a) False (b) True
22. 22.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
23. 23.True or false: “learns from examples” describes how AI works. (a) False (b) True
24. 24.🔍 Which is the odd one out? (a) correct labels (b) very few examples (c) new data for testing (d) many varied examples
25. 25.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
26. 26.True or false: “naming a new leaf” is a prediction. (a) True (b) False
27. 27.True or false: “fix wrong labels” adds to bias. (a) False (b) True
28. 28.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
29. 29.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.Which of these is bad for training a model? (a) testing on training data (b) correct labels (c) examples of every type (d) checking labels twice
31. 31.Which of these is a myth about AI? (a) AI knows everything (b) AI can be wrong (c) AI can mix up numbers (d) AI can make up facts
32. 32.True or false: finding 10% of a price only needs a simple fixed rule. (a) False (b) True
33. 33.🎨 An image generator makes a picture from… (a) a text description (b) the weather (c) your password (d) a phone number
34. 34.True or false: “learns from examples” describes how a normal program works. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
36. 36.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
37. 37.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
38. 38.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) False (b) True
39. 39.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
40. 40.Which of these is bad for training a model? (a) examples of every type (b) correct labels (c) very few examples (d) new data for testing

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