AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 223 · 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.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) children speak too fast (d) the phone was new
2. 2.True or false: “naming a new fruit photo” is training data. (a) True (b) False
3. 3.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can be wrong (c) AI can mix up numbers (d) AI knows everything
4. 4.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
5. 5.True or false: “AI answers need checking” is a myth about AI. (a) True (b) False
6. 6.True or false: a map app guessing how long a trip will take is AI generating something new. (a) True (b) False
7. 7.🔍 Which is the odd one out? (a) drafting a letter (b) inventing a recipe (c) spotting spam (d) writing a new poem
8. 8.True or false: finding 10% of a price needs AI that learns from examples. (a) True (b) False
9. 9.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
10. 10.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
11. 11.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
12. 12.Which of these is good for training a model? (a) correct labels (b) wrong labels (c) labels added at random (d) only one kind of example
13. 13.🔍 Which is the odd one out? (a) testing on training data (b) correct labels (c) copies of one photo (d) wrong labels
14. 14.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
15. 15.Which of these is a myth about AI? (a) AI answers need checking (b) AI learns from data (c) AI copies data patterns (d) AI knows everything
16. 16.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
17. 17.True or false: turning your spoken words into typed text is AI predicting something. (a) False (b) True
18. 18.🔍 Which is the odd one out? (a) correct labels (b) checking labels twice (c) new data for testing (d) wrong labels
19. 19.🎨 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
20. 20.Which of these is good for training a model? (a) very few examples (b) new data for testing (c) blurry, unclear photos (d) testing on training data
21. 21.True or false: “examples of every type” is good for training a model. (a) False (b) True
22. 22.🧮 Which of these is NOT AI? (a) a spam filter (b) voice typing (c) face unlock (d) a basic calculator
23. 23.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
24. 24.True or false: “long answers are true” is a fact about AI. (a) False (b) True
25. 25.Which of these is a myth about AI? (a) AI can be wrong (b) AI can make up facts (c) AI answers need checking (d) confident means correct
26. 26.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
27. 27.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
28. 28.Which of these describes how a normal program works? (a) handles unseen examples (b) learns from examples (c) gives a likely answer (d) uses rules people wrote
29. 29.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) ask it to repeat (c) guess (d) pick a lucky number
30. 30.True or false: “makes a best guess” describes how AI works. (a) False (b) True
31. 31.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
32. 32.Which of these describes how AI works? (a) uses rules people wrote (b) does exactly as coded (c) makes a best guess (d) follows fixed rules
33. 33.Which of these describes how a normal program works? (a) handles unseen examples (b) improves with more data (c) one set rule per case (d) makes a best guess
34. 34.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
35. 35.Which of these is bad for training a model? (a) wrong labels (b) checking labels twice (c) new data for testing (d) clear, sharp examples
36. 36.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) predicting (b) recommending (c) recognising (d) generating
37. 37.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) skip testing (d) check who is missing
38. 38.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
39. 39.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
40. 40.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction

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