AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 515 · 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: “ask different people” helps reduce bias. (a) False (b) True
2. 2.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
3. 3.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) add varied examples (d) test on many groups
4. 4.Which of these is good for training a model? (a) many varied examples (b) very few examples (c) labels added at random (d) testing on training data
5. 5.Which of these is a fact about AI? (a) AI has real feelings (b) AI learns from data (c) AI always checks facts (d) long answers are true
6. 6.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) generating (c) recognising (d) recommending
7. 7.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
8. 8.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
9. 9.True or false: “balance the data” helps reduce bias. (a) True (b) False
10. 10.🔍 Which is the odd one out? (a) blurry, unclear photos (b) examples of every type (c) correct labels (d) many varied examples
11. 11.Which of these is not AI? (a) an AI chatbot (b) an app translating signs (c) a microwave timer (d) a map predicting traffic
12. 12.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
13. 13.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
14. 14.Which of these is good for training a model? (a) blurry, unclear photos (b) correct labels (c) testing on training data (d) wrong labels
15. 15.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) bias from data (d) a broken screen
16. 16.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
17. 17.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
18. 18.True or false: “a summary of chapter 3” asks for text. (a) True (b) False
19. 19.Which of these describes how AI works? (a) one set rule per case (b) does exactly as coded (c) handles unseen examples (d) never learns from data
20. 20.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) tomorrow’s rain guess (d) the trained program
21. 21.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
22. 22.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
23. 23.Which of these is generative AI (it makes something new)? (a) spotting spam (b) suggesting a video (c) writing a new poem (d) reading number plates
24. 24.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) nobody at all (d) people
25. 25.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) an image (c) music or sound
26. 26.🔍 Which is the odd one out? (a) copies of one photo (b) blurry, unclear photos (c) very few examples (d) photos in many lights
27. 27.Which of these describes how a normal program works? (a) gives a likely answer (b) learns from examples (c) improves with more data (d) follows fixed rules
28. 28.🔍 Which is the odd one out? (a) spotting spam (b) drafting a letter (c) inventing a recipe (d) writing a new poem
29. 29.True or false: “testing on training data” is good for training a model. (a) True (b) False
30. 30.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) predicting rain (c) drawing a new picture (d) reading number plates
31. 31.True or false: “follows fixed rules” describes how AI works. (a) False (b) True
32. 32.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) add varied examples (d) add more of the same
33. 33.🔍 Which is the odd one out? (a) skip testing (b) check who is missing (c) add varied examples (d) balance the data
34. 34.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) print pages (d) learn from data
35. 35.True or false: “very few examples” is bad for training a model. (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) a fan regulator (b) a kitchen weighing scale (c) video suggestions (d) a printed timetable
37. 37.True or false: an online shop showing “you may also like” is AI recommending something. (a) True (b) False
38. 38.True or false: “it is long and detailed” is a real way to check an AI answer. (a) False (b) True
39. 39.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
40. 40.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough

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