AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 394 · 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.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
2. 2.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
3. 3.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
4. 4.True or false: “AI has real feelings” is a fact about AI. (a) False (b) True
5. 5.Which of these is bad for training a model? (a) clear, sharp examples (b) only one kind of example (c) many varied examples (d) photos in many lights
6. 6.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
7. 7.🔍 Which is the odd one out? (a) many varied examples (b) clear, sharp examples (c) new data for testing (d) labels added at random
8. 8.🏷️ 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
9. 9.🔍 Which is the odd one out? (a) AI can be wrong (b) AI copies data patterns (c) AI learns from data (d) AI always checks facts
10. 10.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
11. 11.Which of these is a fact about AI? (a) AI can make up facts (b) AI is never wrong (c) confident means correct (d) AI has real feelings
12. 12.True or false: “the learned patterns” is a prediction. (a) True (b) False
13. 13.Which of these uses AI? (a) a printed timetable (b) a map predicting traffic (c) a digital watch (d) a stopwatch
14. 14.🔍 Which is the odd one out? (a) AI always checks facts (b) long answers are true (c) confident means correct (d) AI copies data patterns
15. 15.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
16. 16.Which of these uses AI? (a) a doorbell (b) a printed timetable (c) a light switch (d) an app translating signs
17. 17.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) an image (b) music or sound (c) text
18. 18.Which of these is good for training a model? (a) checking labels twice (b) blurry, unclear photos (c) wrong labels (d) testing on training data
19. 19.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
20. 20.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
21. 21.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
22. 22.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
23. 23.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
24. 24.🔍 Which is the odd one out? (a) turning speech to text (b) writing a new poem (c) suggesting a video (d) spotting spam
25. 25.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
26. 26.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) a song about dogs (d) many labelled photos
27. 27.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) singing (c) sleeping (d) predicting
28. 28.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
29. 29.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
30. 30.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the right answer tag (d) the font size
31. 31.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
32. 32.🗣️ 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
33. 33.True or false: “labels added at random” is bad for training a model. (a) False (b) True
34. 34.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) recommending (c) recognising (d) generating
35. 35.True or false: “a cheerful tune for Sports Day” asks for text. (a) True (b) False
36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
37. 37.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
38. 38.True or false: converting metres into centimetres only needs a simple fixed rule. (a) True (b) False
39. 39.🖼️ 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
40. 40.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a backup (c) a summary (d) a password

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