AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 926 · 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.True or false: a car camera reading a speed sign is AI generating something new. (a) False (b) True
2. 2.True or false: “a drum beat for a dance” asks for text. (a) True (b) False
3. 3.True or false: “a picture of a castle made of mangoes” asks for an image. (a) True (b) False
4. 4.True or false: “add varied examples” adds to bias. (a) False (b) True
5. 5.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it uses electricity (c) it learns from examples (d) it is always right
6. 6.Which of these is not AI? (a) a map predicting traffic (b) voice typing (c) an image generator (d) a light switch
7. 7.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
8. 8.Which of these is a fact about AI? (a) AI has real feelings (b) AI is never wrong (c) AI copies data patterns (d) AI knows everything
9. 9.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) the learned patterns (d) old emails marked spam
10. 10.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
12. 12.🛠️ Which does this job need: sorting names in A to Z order? (a) a simple rule is enough (b) needs AI (learning)
13. 13.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI knows everything (c) long answers are true (d) AI always checks facts
14. 14.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) a stopwatch (c) photos grouped by face (d) a light switch
15. 15.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) text (c) an image
16. 16.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
17. 17.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
18. 18.Which of these uses AI? (a) a stopwatch (b) a digital watch (c) face unlock on a phone (d) a light switch
19. 19.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
20. 20.Which of these describes how AI works? (a) improves with more data (b) does exactly as coded (c) never learns from data (d) uses rules people wrote
21. 21.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) sorting photos by face (c) drawing a new picture (d) spotting a sick leaf
22. 22.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
24. 24.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
25. 25.🔍 Which is the odd one out? (a) new data for testing (b) wrong labels (c) many varied examples (d) examples of every type
26. 26.Which of these describes how a normal program works? (a) learns from examples (b) handles unseen examples (c) improves with more data (d) follows fixed rules
27. 27.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
28. 28.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recommending (b) generating (c) recognising (d) predicting
29. 29.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
30. 30.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
31. 31.📱 What is the AI doing here: a car camera reading a speed sign? (a) recommending (b) predicting (c) recognising (d) generating
32. 32.🔍 Which is the odd one out? (a) spotting a sick leaf (b) predicting rain (c) drawing a new picture (d) unlocking with a face
33. 33.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
34. 34.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
35. 35.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) drawing (c) predicting (d) sleeping
36. 36.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
38. 38.🗣️ 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) few child voices in data (d) the phone was new
39. 39.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
40. 40.Which of these is a myth about AI? (a) long answers are true (b) AI can be wrong (c) AI can mix up numbers (d) AI learns from data

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