AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 101 · 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.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
2. 2.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
3. 3.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
4. 4.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
6. 6.True or false: an online shop showing “you may also like” is AI recognising something. (a) False (b) True
7. 7.Which of these describes how AI works? (a) follows fixed rules (b) handles unseen examples (c) uses rules people wrote (d) same steps every time
8. 8.True or false: “examples of every type” is bad for training a model. (a) True (b) False
9. 9.🔍 Which is the odd one out? (a) writing a new poem (b) drawing a new picture (c) suggesting a video (d) inventing a recipe
10. 10.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
11. 11.Which of these is a fact about AI? (a) AI can make up facts (b) AI always checks facts (c) long answers are true (d) AI has real feelings
12. 12.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) yes, just like us (c) only on weekends (d) no, it finds patterns
13. 13.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
14. 14.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
15. 15.True or false: “many varied examples” is bad for training a model. (a) False (b) True
16. 16.Which of these is a fact about AI? (a) AI always checks facts (b) confident means correct (c) AI copies data patterns (d) AI knows everything
17. 17.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recommending (b) generating (c) predicting (d) recognising
18. 18.Which of these is good for training a model? (a) blurry, unclear photos (b) testing on training data (c) labels added at random (d) new data for testing
19. 19.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
21. 21.Which of these describes how a normal program works? (a) uses rules people wrote (b) handles unseen examples (c) gives a likely answer (d) makes a best guess
22. 22.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
23. 23.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) fix wrong labels (d) ignore complaints
24. 24.True or false: “flagging a new email” is training data. (a) False (b) True
25. 25.Which of these is training data? (a) what training builds (b) the trained program (c) typing a new spoken word (d) labelled fruit photos
26. 26.True or false: a map app guessing how long a trip will take is AI predicting something. (a) False (b) True
27. 27.True or false: recognising a bird from its song needs AI that learns from examples. (a) True (b) False
28. 28.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
29. 29.🔍 Which is the odd one out? (a) sorting photos by face (b) making up a story (c) creating a cartoon (d) composing a new tune
30. 30.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
31. 31.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) drawing a new picture (c) making up a story (d) spotting spam
32. 32.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
33. 33.True or false: “correct labels” is bad for training a model. (a) True (b) False
34. 34.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
35. 35.True or false: “learns from examples” describes how AI works. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
37. 37.Which of these is generative AI (it makes something new)? (a) reading number plates (b) drawing a new picture (c) spotting spam (d) unlocking with a face
38. 38.Which of these describes how AI works? (a) follows fixed rules (b) never learns from data (c) makes a best guess (d) same steps every time
39. 39.Which of these is a myth about AI? (a) AI can make up facts (b) AI learns from data (c) AI answers need checking (d) long answers are true
40. 40.True or false: “AI always checks facts” is a fact about AI. (a) False (b) True

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