AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 870 · 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 describes how a normal program works? (a) one set rule per case (b) makes a best guess (c) learns from examples (d) spots patterns in data
2. 2.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
3. 3.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) balance the data (d) ask different people
4. 4.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) music or sound (b) text (c) an image
5. 5.True or false: “it has a neat layout” is a real way to check an AI answer. (a) False (b) True
6. 6.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) an image (b) text (c) music or sound
7. 7.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) False (b) True
8. 8.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
9. 9.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
10. 10.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) only on weekends (c) yes, it gets sad (d) no, it finds patterns
11. 11.True or false: recognising a bird from its song needs AI that learns from examples. (a) True (b) False
12. 12.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) recorded spoken words (d) the trained program
13. 13.True or false: “recorded spoken words” is training data. (a) True (b) False
14. 14.📱 What is the AI doing here: an online shop showing “you may also like”? (a) recognising (b) generating (c) predicting (d) recommending
15. 15.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
16. 16.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can mix up numbers (c) confident means correct (d) AI learns from data
17. 17.True or false: “recorded spoken words” is a prediction. (a) False (b) True
18. 18.Which of these is a myth about AI? (a) AI is never wrong (b) AI can be wrong (c) AI learns from data (d) AI can mix up numbers
19. 19.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
20. 20.Which of these is bad for training a model? (a) new data for testing (b) examples of every type (c) photos in many lights (d) only one kind of example
21. 21.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
22. 22.Which of these is not AI? (a) a printed timetable (b) an AI chatbot (c) an app translating signs (d) an image generator
23. 23.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it has a screen (c) it is always right (d) it learns from examples
24. 24.🔍 Which is the odd one out? (a) clear, sharp examples (b) many varied examples (c) examples of every type (d) copies of one photo
25. 25.🎨 An image generator makes a picture from… (a) a phone number (b) the weather (c) your password (d) a text description
26. 26.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) writing a new poem (c) reading number plates (d) spotting spam
27. 27.🔍 Which is the odd one out? (a) a spam filter (b) a digital watch (c) a doorbell (d) a stopwatch
28. 28.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
29. 29.🔍 Which is the odd one out? (a) very few examples (b) examples of every type (c) new data for testing (d) correct labels
30. 30.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
31. 31.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
32. 32.Which of these is not AI? (a) face unlock on a phone (b) photos grouped by face (c) a doorbell (d) an image generator
33. 33.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) past weather records (d) tomorrow’s rain guess
34. 34.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) actual information (d) app installer
35. 35.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
36. 36.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) skip testing (d) check who is missing
37. 37.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
38. 38.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
39. 39.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
40. 40.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True

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