AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 957 · 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.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
2. 2.True or false: “never learns from data” describes how AI works. (a) True (b) False
3. 3.🔍 Which is the odd one out? (a) writing quiz questions (b) predicting rain (c) sorting photos by face (d) reading number plates
4. 4.Which of these describes how a normal program works? (a) spots patterns in data (b) gives a likely answer (c) uses rules people wrote (d) improves with more data
5. 5.Which of these uses AI? (a) an AI chatbot (b) a printed timetable (c) a kitchen weighing scale (d) a digital watch
6. 6.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) True (b) False
7. 7.Which of these is generative AI (it makes something new)? (a) writing quiz questions (b) spotting spam (c) unlocking with a face (d) spotting a sick leaf
8. 8.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
9. 9.🔍 Which is the odd one out? (a) turning speech to text (b) suggesting a video (c) spotting spam (d) inventing a recipe
10. 10.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) an image (b) text (c) music or sound
11. 11.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
12. 12.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
13. 13.Which of these is generative AI (it makes something new)? (a) spotting spam (b) reading number plates (c) creating a cartoon (d) sorting photos by face
14. 14.🔍 Which is the odd one out? (a) new data for testing (b) correct labels (c) many varied examples (d) wrong labels
15. 15.True or false: “add more of the same” helps reduce bias. (a) False (b) True
16. 16.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
17. 17.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) cooking (c) printing (d) charging
18. 18.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
19. 19.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
20. 20.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
21. 21.Which of these is bad for training a model? (a) new data for testing (b) many varied examples (c) labels added at random (d) clear, sharp examples
22. 22.🔍 Which is the odd one out? (a) photos grouped by face (b) a printed timetable (c) a digital watch (d) a torch
23. 23.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) labels added at random (d) examples of every type
24. 24.True or false: a keyboard guessing your next word is AI recommending something. (a) False (b) True
25. 25.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) recorded spoken words (d) naming a new leaf
26. 26.True or false: “what training builds” is a prediction. (a) True (b) False
27. 27.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) balance the data (d) test on many groups
28. 28.True or false: “makes a best guess” describes how AI works. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) copies of one photo (b) photos in many lights (c) labels added at random (d) very few examples
30. 30.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
31. 31.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) new data for testing (d) copies of one photo
32. 32.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
33. 33.Which of these is a myth about AI? (a) AI is never wrong (b) AI can be wrong (c) AI can mix up numbers (d) AI learns from data
34. 34.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
35. 35.Which of these is a fact about AI? (a) AI always checks facts (b) confident means correct (c) AI is never wrong (d) AI can be wrong
36. 36.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) flagging a new email (d) labelled fruit photos
37. 37.🔍 Which is the odd one out? (a) AI always checks facts (b) AI is never wrong (c) AI can mix up numbers (d) long answers are true
38. 38.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
39. 39.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
40. 40.Which of these is the model? (a) recorded spoken words (b) past weather records (c) old emails marked spam (d) the trained program

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