AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 235 · 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 good for training a model? (a) labels added at random (b) wrong labels (c) only one kind of example (d) new data for testing
2. 2.Which of these describes how a normal program works? (a) improves with more data (b) handles unseen examples (c) does exactly as coded (d) makes a best guess
3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
4. 4.🔍 Which is the odd one out? (a) drawing a new picture (b) creating a cartoon (c) drafting a letter (d) spotting spam
5. 5.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
6. 6.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
7. 7.True or false: “AI can mix up numbers” is a fact about AI. (a) False (b) True
8. 8.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
9. 9.True or false: “AI answers need checking” is a myth about AI. (a) True (b) False
10. 10.True or false: “testing on training data” is bad for training a model. (a) True (b) False
11. 11.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it is always right (c) it learns from examples (d) it uses electricity
12. 12.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
13. 13.🎨 An image generator makes a picture from… (a) the weather (b) your password (c) a text description (d) a phone number
14. 14.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) music or sound (b) text (c) an image
15. 15.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) charging (c) recommending (d) cooking
16. 16.🏷️ 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
17. 17.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
18. 18.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) fix wrong labels (d) add varied examples
19. 19.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
20. 20.True or false: “skip testing” adds to bias. (a) True (b) False
21. 21.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
22. 22.Which of these is bad for training a model? (a) only one kind of example (b) checking labels twice (c) new data for testing (d) many varied examples
23. 23.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) predicting (c) singing (d) drawing
24. 24.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
25. 25.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) copy old unfair choices
26. 26.🔍 Which is the odd one out? (a) creating a cartoon (b) drawing a new picture (c) making up a story (d) unlocking with a face
27. 27.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) text (b) music or sound (c) an image
28. 28.True or false: “labels added at random” is good for training a model. (a) False (b) True
29. 29.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
30. 30.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) creating a cartoon (c) drawing a new picture (d) suggesting a video
31. 31.🔍 Which is the odd one out? (a) examples of every type (b) very few examples (c) photos in many lights (d) many varied examples
32. 32.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
33. 33.True or false: a music app suggesting a song you may like is AI recommending something. (a) True (b) False
34. 34.Which of these is a fact about AI? (a) AI learns from data (b) AI has real feelings (c) long answers are true (d) confident means correct
35. 35.Which of these is not AI? (a) photos grouped by face (b) an AI chatbot (c) an image generator (d) a light switch
36. 36.True or false: “AI learns from data” is a fact about AI. (a) True (b) False
37. 37.True or false: “the learned patterns” is the model. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
40. 40.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data

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