AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 271 · 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.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) an image (c) text
2. 2.💬 What do we call the request you type to a generative AI? (a) a label (b) a password (c) a prompt (d) a battery
3. 3.🔍 Which is the odd one out? (a) drafting a letter (b) making up a story (c) spotting a sick leaf (d) inventing a recipe
4. 4.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) spotting spam (c) drafting a letter (d) inventing a recipe
5. 5.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) a song about dogs (d) many labelled photos
6. 6.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
7. 7.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) charging (c) cooking (d) printing
8. 8.Which of these is not AI? (a) an image generator (b) voice typing (c) a torch (d) face unlock on a phone
9. 9.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) copy old unfair choices (d) add varied examples
10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
11. 11.Which of these is the model? (a) typing a new spoken word (b) 500 labelled leaf photos (c) recorded spoken words (d) the learned patterns
12. 12.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
13. 13.True or false: a music app suggesting a song you may like is AI recognising something. (a) False (b) True
14. 14.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
15. 15.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
16. 16.Which of these uses AI? (a) a torch (b) a calculator (c) a fan regulator (d) photos grouped by face
17. 17.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
18. 18.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
19. 19.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
20. 20.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
21. 21.Which of these describes how AI works? (a) follows fixed rules (b) same steps every time (c) gives a likely answer (d) never learns from data
22. 22.True or false: a book app suggesting a story like your last one is AI predicting something. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
24. 24.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) copy old unfair choices (d) ask different people
25. 25.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
26. 26.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) False (b) True
27. 27.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
28. 28.True or false: “see if the book exists” is a real way to check an AI answer. (a) False (b) True
29. 29.True or false: “use one group only” adds to bias. (a) True (b) False
30. 30.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) ask it to hurry (c) copy it straight away (d) check it on paper
31. 31.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
32. 32.Which of these is a myth about AI? (a) AI answers need checking (b) AI can make up facts (c) AI learns from data (d) long answers are true
33. 33.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
34. 34.Which of these is training data? (a) past weather records (b) naming a new fruit photo (c) the trained program (d) naming a new leaf
35. 35.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
36. 36.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) the trained program (d) tomorrow’s rain guess
37. 37.True or false: converting metres into centimetres only needs a simple fixed rule. (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) AI has real feelings (b) AI is never wrong (c) AI can mix up numbers (d) long answers are true
39. 39.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
40. 40.True or false: counting the words in an essay needs AI that learns from examples. (a) True (b) False

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