AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 987 · 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: photos in many lights? (a) bad for training (b) good for training
2. 2.True or false: “write a poem about the monsoon” asks for music or sound. (a) False (b) True
3. 3.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) many labelled photos (d) a song about dogs
4. 4.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) music or sound (b) text (c) an image
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
6. 6.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) suggesting a video (c) drafting a letter (d) composing a new tune
7. 7.Which of these is a myth about AI? (a) AI can make up facts (b) AI learns from data (c) AI always checks facts (d) AI can mix up numbers
8. 8.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
9. 9.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
10. 10.🔍 Which is the odd one out? (a) long answers are true (b) AI copies data patterns (c) confident means correct (d) AI has real feelings
11. 11.True or false: “labels added at random” is good for training a model. (a) False (b) True
12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
13. 13.True or false: “a drawing of a cat on the Moon” asks for an image. (a) False (b) True
14. 14.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
15. 15.🤖 What does AI stand for? (a) actual information (b) app installer (c) automatic internet (d) artificial intelligence
16. 16.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
17. 17.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
18. 18.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
19. 19.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) use one group only (d) test on many groups
20. 20.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
21. 21.🔍 Which is the odd one out? (a) AI answers need checking (b) confident means correct (c) AI copies data patterns (d) AI can be wrong
22. 22.True or false: “recorded spoken words” is training data. (a) True (b) False
23. 23.Which of these is a myth about AI? (a) AI learns from data (b) AI is never wrong (c) AI can mix up numbers (d) AI can make up facts
24. 24.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) a text description (d) the weather
25. 25.🔍 Which is the odd one out? (a) unlocking with a face (b) predicting rain (c) drawing a new picture (d) spotting spam
26. 26.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) text (b) an image (c) music or sound
27. 27.Which of these is training data? (a) the trained program (b) recorded spoken words (c) naming a new fruit photo (d) flagging a new email
28. 28.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) music or sound (b) an image (c) text
29. 29.🔍 Which is the odd one out? (a) very few examples (b) new data for testing (c) only one kind of example (d) testing on training data
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
31. 31.Which of these is good for training a model? (a) labels added at random (b) copies of one photo (c) wrong labels (d) new data for testing
32. 32.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
33. 33.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
34. 34.Which of these describes how AI works? (a) uses rules people wrote (b) same steps every time (c) gives a likely answer (d) follows fixed rules
35. 35.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) voice typing (d) a spam filter
36. 36.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
38. 38.Which of these is bad for training a model? (a) clear, sharp examples (b) copies of one photo (c) new data for testing (d) examples of every type
39. 39.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) printing (c) recommending (d) cooking
40. 40.Which of these adds to bias? (a) add more of the same (b) ask different people (c) test on many groups (d) balance the data

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