AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 843 · 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.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
4. 4.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a label (d) a prompt
5. 5.Which of these describes how AI works? (a) follows fixed rules (b) never learns from data (c) same steps every time (d) gives a likely answer
6. 6.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
7. 7.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
8. 8.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
9. 9.True or false: a keyboard guessing your next word is AI predicting something. (a) True (b) False
10. 10.True or false: “a cartoon of a dancing elephant” asks for music or sound. (a) True (b) False
11. 11.🔍 Which is the odd one out? (a) AI answers need checking (b) AI can make up facts (c) AI learns from data (d) long answers are true
12. 12.🔍 Which is the odd one out? (a) AI knows everything (b) AI answers need checking (c) AI is never wrong (d) confident means correct
13. 13.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) spotting spam (c) writing quiz questions (d) inventing a recipe
14. 14.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
15. 15.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
16. 16.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
17. 17.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
18. 18.📱 What is the AI doing here: a car camera reading a speed sign? (a) predicting (b) recognising (c) generating (d) recommending
19. 19.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
20. 20.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
21. 21.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
22. 22.Which of these is a myth about AI? (a) AI can be wrong (b) AI can make up facts (c) AI has real feelings (d) AI copies data patterns
23. 23.🏷️ 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
24. 24.Which of these is good for training a model? (a) wrong labels (b) photos in many lights (c) blurry, unclear photos (d) labels added at random
25. 25.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
26. 26.Which of these is the model? (a) past weather records (b) naming a new leaf (c) the learned patterns (d) flagging a new email
27. 27.🔍 Which is the odd one out? (a) a spam filter (b) a torch (c) a digital watch (d) a printed timetable
28. 28.✨ Generative or not: spotting spam? (a) sorts or predicts (b) makes something new
29. 29.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) test on many groups (d) use one group only
31. 31.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
32. 32.Which of these is bad for training a model? (a) checking labels twice (b) only one kind of example (c) many varied examples (d) clear, sharp examples
33. 33.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) ignore complaints (d) check who is missing
34. 34.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
35. 35.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it has a screen (c) it is always right (d) it learns from examples
36. 36.Which of these is a prediction? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) past weather records (d) what training builds
37. 37.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) drawing (c) predicting (d) singing
38. 38.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
39. 39.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
40. 40.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False

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