AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 195 · 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.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
2. 2.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
3. 3.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
4. 4.Which of these is not AI? (a) voice typing (b) an app translating signs (c) face unlock on a phone (d) a printed timetable
5. 5.Which of these uses AI? (a) a spam filter (b) a doorbell (c) a calculator (d) a fan regulator
6. 6.Which of these describes how AI works? (a) never learns from data (b) same steps every time (c) does exactly as coded (d) improves with more data
7. 7.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recognising (b) generating (c) recommending (d) predicting
8. 8.🤖 What does AI stand for? (a) automatic internet (b) app installer (c) actual information (d) artificial intelligence
9. 9.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
10. 10.True or false: showing the time on a clock only needs a simple fixed rule. (a) True (b) False
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
12. 12.🏷️ 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
13. 13.🔍 Which is the odd one out? (a) suggesting a video (b) unlocking with a face (c) writing a new poem (d) turning speech to text
14. 14.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
15. 15.🔍 Which is the odd one out? (a) writing a new poem (b) suggesting a video (c) making up a story (d) writing quiz questions
16. 16.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) an image (b) music or sound (c) text
17. 17.True or false: “it has a neat layout” is a real way to check an AI answer. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
19. 19.🏷️ 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
20. 20.True or false: a video app suggesting what to watch next is AI generating something new. (a) True (b) False
21. 21.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) copies of one photo (b) examples of every type (c) very few examples (d) testing on training data
23. 23.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) slower to switch on (d) better at its task
24. 24.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) music or sound (c) an image
25. 25.✨ What does generative AI do? (a) only stores files (b) only adds numbers (c) charges batteries (d) makes new content
26. 26.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
27. 27.✨ Generative or not: predicting rain? (a) sorts or predicts (b) makes something new
28. 28.Which of these is bad for training a model? (a) new data for testing (b) correct labels (c) copies of one photo (d) many varied examples
29. 29.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a summary (c) a password (d) a hallucination
30. 30.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
31. 31.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) generating (b) recommending (c) predicting (d) recognising
32. 32.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the font size (d) the right answer tag
33. 33.🔍 Which is the odd one out? (a) reading number plates (b) drawing a new picture (c) spotting spam (d) suggesting a video
34. 34.True or false: “does exactly as coded” describes how AI works. (a) False (b) True
35. 35.True or false: “add varied examples” adds to bias. (a) False (b) True
36. 36.🏷️ 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
37. 37.🤔 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
38. 38.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) True (b) False
39. 39.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
40. 40.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True

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