AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 871 · 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.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
2. 2.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI can make up facts (c) AI copies data patterns (d) confident means correct
3. 3.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) use one group only (d) add varied examples
4. 4.True or false: “testing on training data” is bad for training a model. (a) False (b) True
5. 5.🤖 What does AI stand for? (a) artificial intelligence (b) app installer (c) actual information (d) automatic internet
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
7. 7.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
8. 8.True or false: a car camera reading a speed sign is AI recommending something. (a) False (b) True
9. 9.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
10. 10.🔍 Which is the odd one out? (a) AI can make up facts (b) AI can be wrong (c) confident means correct (d) AI answers need checking
11. 11.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
13. 13.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
14. 14.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) False (b) True
15. 15.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) writing a new poem (c) unlocking with a face (d) writing quiz questions
16. 16.🔍 Which is the odd one out? (a) inventing a recipe (b) turning speech to text (c) spotting spam (d) predicting rain
17. 17.🎨 An image generator makes a picture from… (a) a phone number (b) the weather (c) your password (d) a text description
18. 18.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
19. 19.🏷️ 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
20. 20.Which of these is good for training a model? (a) examples of every type (b) only one kind of example (c) labels added at random (d) blurry, unclear photos
21. 21.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
22. 22.✨ Generative or not: spotting spam? (a) sorts or predicts (b) makes something new
23. 23.🔍 Which is the odd one out? (a) AI knows everything (b) AI has real feelings (c) AI answers need checking (d) AI always checks facts
24. 24.🔍 Which is the odd one out? (a) writing quiz questions (b) unlocking with a face (c) writing a new poem (d) drafting a letter
25. 25.True or false: “a cartoon of a dancing elephant” asks for text. (a) True (b) False
26. 26.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) skip testing (d) fix wrong labels
27. 27.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
28. 28.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
29. 29.Which of these describes how AI works? (a) improves with more data (b) follows fixed rules (c) never learns from data (d) uses rules people wrote
30. 30.True or false: “past weather records” is a prediction. (a) False (b) True
31. 31.True or false: “uses rules people wrote” describes how a normal program works. (a) False (b) True
32. 32.Which of these uses AI? (a) a voice assistant (b) a printed timetable (c) a microwave timer (d) a calculator
33. 33.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) False (b) True
34. 34.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) generating (b) recognising (c) recommending (d) predicting
35. 35.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, always (c) yes, if it is long
36. 36.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) check who is missing (d) ignore complaints
37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
38. 38.True or false: “labelled fruit photos” is the model. (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) fix wrong labels (d) check who is missing
40. 40.Which of these adds to bias? (a) skip testing (b) test on many groups (c) fix wrong labels (d) check who is missing

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