AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 629 · 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: a poster of a rainforest. What kind of output is that? (a) text (b) an image (c) music or sound
2. 2.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) naming a new fruit photo (d) labelled fruit photos
3. 3.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
4. 4.Which of these is not AI? (a) a voice assistant (b) video suggestions (c) an app translating signs (d) a doorbell
5. 5.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
6. 6.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
7. 7.🔍 Which is the odd one out? (a) a voice assistant (b) an AI chatbot (c) an image generator (d) a torch
8. 8.True or false: “what training builds” is a prediction. (a) False (b) True
9. 9.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) an image (c) text
10. 10.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) add varied examples (d) use one group only
11. 11.✨ What does generative AI do? (a) charges batteries (b) only adds numbers (c) only stores files (d) makes new content
12. 12.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
13. 13.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
14. 14.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
15. 15.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
16. 16.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) drawing (c) sleeping (d) predicting
17. 17.True or false: “wrong labels” is bad for training a model. (a) False (b) True
18. 18.📱 What is the AI doing here: a car camera reading a speed sign? (a) recommending (b) predicting (c) generating (d) recognising
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
20. 20.True or false: a book app suggesting a story like your last one is AI generating something new. (a) False (b) True
21. 21.Which of these describes how a normal program works? (a) handles unseen examples (b) gives a likely answer (c) follows fixed rules (d) learns from examples
22. 22.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) trust the AI (c) stop studying (d) share it online
23. 23.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
24. 24.True or false: “a drum beat for a dance” asks for music or sound. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
26. 26.True or false: a shop guessing how many umbrellas will sell is AI recommending something. (a) True (b) False
27. 27.🏠 AI or not AI: a printed timetable? (a) not AI (b) uses AI
28. 28.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
29. 29.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) writing a new poem (c) predicting rain (d) composing a new tune
30. 30.Which of these describes how AI works? (a) uses rules people wrote (b) learns from examples (c) never learns from data (d) follows fixed rules
31. 31.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
32. 32.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
33. 33.🎨 An image generator makes a picture from… (a) your password (b) a phone number (c) a text description (d) the weather
34. 34.Which of these is a prediction? (a) 500 labelled leaf photos (b) typing a new spoken word (c) past weather records (d) recorded spoken words
35. 35.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
36. 36.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) False (b) True
37. 37.🧮 Which of these is NOT AI? (a) voice typing (b) a spam filter (c) a basic calculator (d) face unlock
38. 38.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
39. 39.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
40. 40.💬 What do we call the request you type to a generative AI? (a) a battery (b) a prompt (c) a password (d) a label

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