AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 392 · 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.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
2. 2.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) blurry, unclear photos (d) many varied examples
3. 3.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
4. 4.📱 What is the AI doing here: a video app suggesting what to watch next? (a) predicting (b) generating (c) recognising (d) recommending
5. 5.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
6. 6.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) copies of one photo (d) checking labels twice
7. 7.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it can think (c) only at night (d) yes, it is smart
8. 8.True or false: “test on many groups” adds to bias. (a) False (b) True
9. 9.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
10. 10.Which of these is training data? (a) 500 labelled leaf photos (b) the trained program (c) tomorrow’s rain guess (d) what training builds
11. 11.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
12. 12.🔍 Which is the odd one out? (a) a microwave timer (b) a kitchen weighing scale (c) a digital watch (d) a voice assistant
13. 13.True or false: a map app guessing how long a trip will take is AI generating something new. (a) False (b) True
14. 14.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
15. 15.Which of these uses AI? (a) an AI chatbot (b) a doorbell (c) a calculator (d) a fan regulator
16. 16.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
17. 17.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
18. 18.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
19. 19.True or false: “confident means correct” is a fact about AI. (a) False (b) True
20. 20.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
21. 21.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
22. 22.Which of these describes how a normal program works? (a) spots patterns in data (b) handles unseen examples (c) improves with more data (d) does exactly as coded
23. 23.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
24. 24.True or false: “what training builds” is a prediction. (a) True (b) False
25. 25.🔍 Which is the odd one out? (a) clear, sharp examples (b) labels added at random (c) examples of every type (d) photos in many lights
26. 26.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
27. 27.🧮 Which of these is NOT AI? (a) a spam filter (b) face unlock (c) a basic calculator (d) voice typing
28. 28.🔍 Which is the odd one out? (a) examples of every type (b) correct labels (c) testing on training data (d) clear, sharp examples
29. 29.True or false: “ask different people” helps reduce bias. (a) False (b) True
30. 30.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) change colour (d) slower to switch on
31. 31.True or false: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
32. 32.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
33. 33.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
34. 34.Which of these is a myth about AI? (a) AI can be wrong (b) AI can make up facts (c) confident means correct (d) AI can mix up numbers
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
36. 36.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) True (b) False
37. 37.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) writing quiz questions (c) spotting spam (d) inventing a recipe
38. 38.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
39. 39.True or false: “a cheerful tune for Sports Day” asks for music or sound. (a) False (b) True
40. 40.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True

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