AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 236 · 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.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
2. 2.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) check who is missing (d) test on many groups
3. 3.Which of these describes how a normal program works? (a) gives a likely answer (b) improves with more data (c) follows fixed rules (d) makes a best guess
4. 4.True or false: “asking the same AI again” is a real way to check an AI answer. (a) True (b) False
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
6. 6.Which of these is not AI? (a) a spam filter (b) video suggestions (c) a digital watch (d) a map predicting traffic
7. 7.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
8. 8.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
9. 9.🔍 Which is the odd one out? (a) writing quiz questions (b) making up a story (c) writing a new poem (d) suggesting a video
10. 10.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) check who is missing (d) skip testing
11. 11.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
12. 12.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
13. 13.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recognising (b) recommending (c) generating (d) predicting
14. 14.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
15. 15.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
16. 16.✨ What does generative AI do? (a) charges batteries (b) only stores files (c) makes new content (d) only adds numbers
17. 17.Which of these is a fact about AI? (a) AI is never wrong (b) AI always checks facts (c) AI knows everything (d) AI can mix up numbers
18. 18.Which of these is not AI? (a) an AI chatbot (b) video suggestions (c) face unlock on a phone (d) a calculator
19. 19.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
20. 20.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) sleeping (c) singing (d) drawing
21. 21.Which of these is good for training a model? (a) correct labels (b) blurry, unclear photos (c) wrong labels (d) testing on training data
22. 22.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) ask different people (d) use one group only
23. 23.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
24. 24.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
25. 25.Which of these describes how AI works? (a) handles unseen examples (b) never learns from data (c) uses rules people wrote (d) same steps every time
26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
27. 27.True or false: “what training builds” is a prediction. (a) True (b) False
28. 28.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
29. 29.True or false: “wrong labels” is bad for training a model. (a) True (b) False
30. 30.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
31. 31.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
32. 32.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
33. 33.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
34. 34.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it learns from examples (c) it is always right (d) it has a screen
35. 35.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
36. 36.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
37. 37.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) ask different people (d) skip testing
38. 38.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
39. 39.Which of these is the model? (a) tomorrow’s rain guess (b) labelled fruit photos (c) past weather records (d) the trained program
40. 40.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) music or sound (c) an image

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