AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 273 · 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 is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) drawing a new picture (c) making up a story (d) writing a new poem
2. 2.True or false: “ask your teacher” is a real way to check an AI answer. (a) True (b) False
3. 3.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
4. 4.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
5. 5.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) wrong labels (d) clear, sharp examples
6. 6.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
7. 7.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
8. 8.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
9. 9.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
10. 10.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
11. 11.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recommending (b) recognising (c) predicting (d) generating
12. 12.True or false: “naming a new fruit photo” is training data. (a) False (b) True
13. 13.Which of these is good for training a model? (a) only one kind of example (b) wrong labels (c) labels added at random (d) examples of every type
14. 14.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
15. 15.True or false: “it sounds very sure” is a real way to check an AI answer. (a) True (b) False
16. 16.True or false: counting the words in an essay needs AI that learns from examples. (a) True (b) False
17. 17.Which of these is generative AI (it makes something new)? (a) reading number plates (b) suggesting a video (c) making up a story (d) spotting spam
18. 18.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) writing a new poem (b) making up a story (c) predicting rain (d) creating a cartoon
20. 20.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) text (b) an image (c) music or sound
21. 21.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) naming a new leaf (d) past weather records
22. 22.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) testing on training data (d) new data for testing
23. 23.Which of these describes how AI works? (a) does exactly as coded (b) follows fixed rules (c) uses rules people wrote (d) spots patterns in data
24. 24.True or false: an online shop showing “you may also like” is AI recommending something. (a) True (b) False
25. 25.Which of these adds to bias? (a) ignore complaints (b) fix wrong labels (c) check who is missing (d) add varied examples
26. 26.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) True (b) False
27. 27.Which of these is a fact about AI? (a) AI always checks facts (b) AI has real feelings (c) long answers are true (d) AI learns from data
28. 28.Which of these is good for training a model? (a) labels added at random (b) only one kind of example (c) blurry, unclear photos (d) photos in many lights
29. 29.True or false: “checking labels twice” is good for training a model. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) copies of one photo (b) checking labels twice (c) very few examples (d) wrong labels
31. 31.Which of these describes how a normal program works? (a) spots patterns in data (b) makes a best guess (c) improves with more data (d) one set rule per case
32. 32.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the font size (c) the price (d) a sticker on a laptop
33. 33.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) no, it finds patterns (d) only on weekends
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
35. 35.🤖 Who builds and trains AI systems? (a) nobody at all (b) people (c) the Moon (d) the weather
36. 36.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) text (b) music or sound (c) an image
37. 37.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
38. 38.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) balance the data (b) use one group only (c) fix wrong labels (d) ask different people
40. 40.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth

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