AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 431 · 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.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
2. 2.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
3. 3.Which of these is not AI? (a) a printed timetable (b) an image generator (c) an AI chatbot (d) photos grouped by face
4. 4.Which of these is generative AI (it makes something new)? (a) drawing a new picture (b) spotting spam (c) unlocking with a face (d) turning speech to text
5. 5.Which of these is a prediction? (a) naming a new fruit photo (b) the trained program (c) recorded spoken words (d) the learned patterns
6. 6.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
7. 7.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
8. 8.True or false: “test on one group only” helps reduce bias. (a) False (b) True
9. 9.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
10. 10.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) test on one group only (d) balance the data
11. 11.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
12. 12.Which of these is good for training a model? (a) photos in many lights (b) labels added at random (c) wrong labels (d) testing on training data
13. 13.🔍 Which is the odd one out? (a) unlocking with a face (b) suggesting a video (c) writing quiz questions (d) turning speech to text
14. 14.🔍 Which is the odd one out? (a) AI is never wrong (b) AI always checks facts (c) AI has real feelings (d) AI answers need checking
15. 15.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
16. 16.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) False (b) True
17. 17.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
18. 18.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a label (d) a prompt
19. 19.🔍 Which is the odd one out? (a) unlocking with a face (b) spotting a sick leaf (c) creating a cartoon (d) sorting photos by face
20. 20.Which of these describes how AI works? (a) never learns from data (b) improves with more data (c) same steps every time (d) one set rule per case
21. 21.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
23. 23.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
24. 24.True or false: “one set rule per case” describes how AI works. (a) True (b) False
25. 25.Which of these is a prediction? (a) tomorrow’s rain guess (b) past weather records (c) the trained program (d) the learned patterns
26. 26.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
27. 27.Which of these is a fact about AI? (a) AI is never wrong (b) AI can be wrong (c) AI always checks facts (d) AI knows everything
28. 28.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
29. 29.Which of these is bad for training a model? (a) examples of every type (b) new data for testing (c) testing on training data (d) many varied examples
30. 30.🔍 Which is the odd one out? (a) AI knows everything (b) AI can be wrong (c) AI is never wrong (d) AI has real feelings
31. 31.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
32. 32.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
33. 33.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
34. 34.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a backup (c) a hallucination (d) a password
36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
37. 37.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
38. 38.Which of these is a myth about AI? (a) AI can make up facts (b) AI can be wrong (c) AI copies data patterns (d) AI is never wrong
39. 39.True or false: “rain sound effects for a play” asks for music or sound. (a) True (b) False
40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam

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