AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 97 · 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: “it is long and detailed” is a real way to check an AI answer. (a) False (b) True
2. 2.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
3. 3.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) printing (c) charging (d) recommending
4. 4.Which of these is a prediction? (a) typing a new spoken word (b) old emails marked spam (c) the learned patterns (d) recorded spoken words
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
6. 6.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it is always right (c) it uses electricity (d) it learns from examples
7. 7.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
8. 8.True or false: a map app guessing how long a trip will take is AI recommending something. (a) False (b) True
9. 9.Which of these is bad for training a model? (a) new data for testing (b) clear, sharp examples (c) copies of one photo (d) photos in many lights
10. 10.True or false: “AI copies data patterns” is a myth about AI. (a) True (b) False
11. 11.True or false: an AI chatbot writing a story about a lost kite is AI recommending something. (a) False (b) True
12. 12.True or false: an AI tool making a brand-new tune is AI recognising something. (a) True (b) False
13. 13.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
14. 14.Which of these uses AI? (a) a microwave timer (b) a stopwatch (c) a fan regulator (d) a voice assistant
15. 15.🤖 What does AI stand for? (a) automatic internet (b) actual information (c) app installer (d) artificial intelligence
16. 16.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
17. 17.True or false: “add varied examples” adds to bias. (a) False (b) True
18. 18.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
19. 19.🔍 Which is the odd one out? (a) confident means correct (b) AI can mix up numbers (c) AI can make up facts (d) AI learns from data
20. 20.True or false: “testing on training data” is good for training a model. (a) True (b) False
21. 21.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
22. 22.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) AI has real feelings (b) AI can mix up numbers (c) AI can make up facts (d) AI can be wrong
24. 24.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
25. 25.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
26. 26.Which of these is a fact about AI? (a) AI copies data patterns (b) AI always checks facts (c) AI has real feelings (d) confident means correct
27. 27.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
28. 28.Which of these is a myth about AI? (a) AI learns from data (b) AI can be wrong (c) AI knows everything (d) AI can mix up numbers
29. 29.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) False (b) True
30. 30.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) a calculator (b) a fan regulator (c) photos grouped by face (d) a microwave timer
32. 32.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) stop studying (c) trust the AI (d) share it online
33. 33.Which of these is AI that sorts, spots or predicts (not generative)? (a) sorting photos by face (b) composing a new tune (c) writing a new poem (d) drafting a letter
34. 34.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
35. 35.🔍 Which is the odd one out? (a) AI has real feelings (b) AI can mix up numbers (c) AI always checks facts (d) AI is never wrong
36. 36.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) writing a new poem (c) drafting a letter (d) spotting spam
37. 37.True or false: “a summary of chapter 3” asks for music or sound. (a) False (b) True
38. 38.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
39. 39.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
40. 40.🧮 Is a basic calculator an AI system? (a) only at night (b) no, it follows rules (c) yes, it is smart (d) yes, it can think

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