AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 143 · 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: write a poem about the monsoon. What kind of output is that? (a) an image (b) music or sound (c) text
2. 2.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
3. 3.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recommending (b) generating (c) predicting (d) recognising
4. 4.True or false: an AI chatbot writing a poem about rain is AI recommending something. (a) True (b) False
5. 5.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
6. 6.Which of these is a myth about AI? (a) AI can make up facts (b) AI copies data patterns (c) AI always checks facts (d) AI answers need checking
7. 7.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
8. 8.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
9. 9.🤖 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
10. 10.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
11. 11.✨ What does generative AI do? (a) only adds numbers (b) only stores files (c) charges batteries (d) makes new content
12. 12.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
13. 13.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) never do maths (c) check it on paper (d) ask it to hurry
14. 14.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) naming a new leaf (d) the learned patterns
15. 15.Which of these uses AI? (a) a torch (b) a kitchen weighing scale (c) a doorbell (d) video suggestions
16. 16.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
17. 17.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
18. 18.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
19. 19.🤖 What does AI stand for? (a) automatic internet (b) actual information (c) artificial intelligence (d) app installer
20. 20.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
21. 21.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
22. 22.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
23. 23.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) recommending (d) printing
24. 24.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
25. 25.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
26. 26.Which of these is a fact about AI? (a) AI has real feelings (b) AI always checks facts (c) AI knows everything (d) AI answers need checking
27. 27.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
28. 28.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) text (c) music or sound
29. 29.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
30. 30.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a summary (c) a hallucination (d) a password
31. 31.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) look in your textbook (c) guess (d) ask it to repeat
32. 32.🔍 Which is the odd one out? (a) many varied examples (b) only one kind of example (c) labels added at random (d) blurry, unclear photos
33. 33.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) spotting spam (c) inventing a recipe (d) writing a new poem
34. 34.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) suggesting a video (c) unlocking with a face (d) writing a new poem
35. 35.Which of these describes how a normal program works? (a) spots patterns in data (b) gives a likely answer (c) improves with more data (d) one set rule per case
36. 36.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
37. 37.True or false: “improves with more data” describes how AI works. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
39. 39.True or false: “correct labels” is bad for training a model. (a) True (b) False
40. 40.True or false: “learns from examples” describes how a normal program works. (a) True (b) False

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