AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 70 · 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.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
2. 2.🔍 Which is the odd one out? (a) AI has real feelings (b) AI knows everything (c) AI is never wrong (d) AI answers need checking
3. 3.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
4. 4.Which of these is not AI? (a) a spam filter (b) a voice assistant (c) a printed timetable (d) a map predicting traffic
5. 5.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
6. 6.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) True (b) False
7. 7.🔍 Which is the odd one out? (a) a spam filter (b) a stopwatch (c) a printed timetable (d) a doorbell
8. 8.True or false: an image generator drawing a robot from a sentence is AI predicting something. (a) False (b) True
9. 9.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) recommending (c) cooking (d) charging
10. 10.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) the font size (d) a sticker on a laptop
11. 11.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
12. 12.True or false: “AI can make up facts” is a myth about AI. (a) True (b) False
13. 13.True or false: “gives a likely answer” describes how AI works. (a) False (b) True
14. 14.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
15. 15.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) copy old unfair choices (d) ask different people
16. 16.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
17. 17.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
18. 18.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) only on weekends (c) yes, just like us (d) yes, it gets sad
19. 19.True or false: “a picture of a castle made of mangoes” asks for text. (a) False (b) True
20. 20.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) balance the data (d) skip testing
21. 21.📱 What is the AI doing here: a keyboard guessing your next word? (a) generating (b) recognising (c) recommending (d) predicting
22. 22.Which of these is a fact about AI? (a) AI knows everything (b) long answers are true (c) AI can make up facts (d) AI always checks facts
23. 23.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
24. 24.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
25. 25.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) ignore complaints (d) use one group only
26. 26.Which of these describes how a normal program works? (a) learns from examples (b) makes a best guess (c) never learns from data (d) handles unseen examples
27. 27.True or false: “only one kind of example” is good for training a model. (a) False (b) True
28. 28.🔍 Which is the odd one out? (a) a printed timetable (b) a calculator (c) a doorbell (d) an app translating signs
29. 29.Which of these is generative AI (it makes something new)? (a) reading number plates (b) drawing a new picture (c) predicting rain (d) spotting a sick leaf
30. 30.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) no, check it anyway (c) yes, always
31. 31.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
32. 32.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
33. 33.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
34. 34.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can mix up numbers (c) AI knows everything (d) AI answers need checking
35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
36. 36.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
37. 37.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) slower to switch on (d) forget everything
38. 38.🏷️ 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
39. 39.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
40. 40.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data

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