AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 892 · 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 is a myth about AI? (a) long answers are true (b) AI can be wrong (c) AI learns from data (d) AI answers need checking
2. 2.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) stop studying (c) trust the textbook (d) share it online
3. 3.True or false: “flagging a new email” is a prediction. (a) True (b) False
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
5. 5.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
6. 6.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) an image (b) music or sound (c) text
7. 7.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
8. 8.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
9. 9.🧮 Which of these is NOT AI? (a) face unlock (b) a spam filter (c) a basic calculator (d) voice typing
10. 10.Which of these describes how a normal program works? (a) handles unseen examples (b) learns from examples (c) follows fixed rules (d) gives a likely answer
11. 11.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
12. 12.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
13. 13.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
14. 14.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) drawing (c) singing (d) sleeping
15. 15.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a strong battery (d) a broken screen
16. 16.True or false: “same steps every time” describes how AI works. (a) True (b) False
17. 17.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
19. 19.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
20. 20.Which of these is not AI? (a) voice typing (b) an app translating signs (c) a light switch (d) video suggestions
21. 21.🔍 Which is the odd one out? (a) spotting a sick leaf (b) writing quiz questions (c) predicting rain (d) sorting photos by face
22. 22.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) change colour (d) slower to switch on
23. 23.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
24. 24.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) False (b) True
25. 25.True or false: “a picture of a castle made of mangoes” asks for music or sound. (a) True (b) False
26. 26.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
27. 27.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
28. 28.🤖 Who builds and trains AI systems? (a) people (b) the Moon (c) nobody at all (d) the weather
29. 29.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
30. 30.📱 What is the AI doing here: an online shop showing “you may also like”? (a) recognising (b) recommending (c) predicting (d) generating
31. 31.Which of these adds to bias? (a) add varied examples (b) use one group only (c) fix wrong labels (d) test on many groups
32. 32.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) check who is missing (d) add more of the same
33. 33.Which of these is a fact about AI? (a) AI is never wrong (b) confident means correct (c) AI copies data patterns (d) AI always checks facts
34. 34.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
35. 35.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) what training builds (d) flagging a new email
36. 36.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
37. 37.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) copy old unfair choices (d) add varied examples
38. 38.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
39. 39.Which of these uses AI? (a) a calculator (b) a spam filter (c) a printed timetable (d) a kitchen weighing scale
40. 40.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) typing a new spoken word (d) labelled fruit photos

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