AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 662 · 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.Which of these describes how a normal program works? (a) makes a best guess (b) spots patterns in data (c) uses rules people wrote (d) improves with more data
2. 2.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI
3. 3.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
4. 4.True or false: turning your spoken words into typed text is AI recommending something. (a) True (b) False
5. 5.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI
6. 6.True or false: an image generator drawing a robot from a sentence is AI generating something new. (a) False (b) True
7. 7.True or false: a shop guessing how many umbrellas will sell is AI recognising something. (a) False (b) True
8. 8.🔍 Which is the odd one out? (a) AI knows everything (b) long answers are true (c) AI answers need checking (d) AI is never wrong
9. 9.Which of these is good for training a model? (a) blurry, unclear photos (b) photos in many lights (c) testing on training data (d) only one kind of example
10. 10.✍️ How does an AI chatbot write its replies? (a) uses magic (b) copies one website (c) asks a person (d) predicts likely words
11. 11.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
12. 12.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
13. 13.Which of these describes how AI works? (a) never learns from data (b) learns from examples (c) uses rules people wrote (d) does exactly as coded
14. 14.⏩ 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
15. 15.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) fix wrong labels (d) ask different people
16. 16.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) copies of one photo (b) wrong labels (c) correct labels (d) labels added at random
18. 18.True or false: “past weather records” is training data. (a) False (b) True
19. 19.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
20. 20.Which of these is generative AI (it makes something new)? (a) composing a new tune (b) turning speech to text (c) sorting photos by face (d) unlocking with a face
21. 21.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
22. 22.Which of these is the model? (a) recorded spoken words (b) old emails marked spam (c) the learned patterns (d) tomorrow’s rain guess
23. 23.True or false: “what training builds” is training data. (a) True (b) False
24. 24.True or false: “flagging a new email” is a prediction. (a) False (b) True
25. 25.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) a list of rules only (d) many labelled photos
26. 26.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
27. 27.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
28. 28.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
29. 29.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
30. 30.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
31. 31.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
32. 32.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
33. 33.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
34. 34.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
35. 35.Which of these is a myth about AI? (a) AI answers need checking (b) AI copies data patterns (c) AI has real feelings (d) AI learns from data
36. 36.🔍 Which is the odd one out? (a) writing quiz questions (b) sorting photos by face (c) unlocking with a face (d) turning speech to text
37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
38. 38.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will turn yellow (d) it will be perfect
39. 39.🔍 Which is the odd one out? (a) spotting a sick leaf (b) unlocking with a face (c) suggesting a video (d) writing a new poem
40. 40.Which of these is good for training a model? (a) new data for testing (b) copies of one photo (c) labels added at random (d) testing on training data

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