AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 593 · 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: “the trained program” is a prediction. (a) True (b) False
2. 2.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
3. 3.Which of these is bad for training a model? (a) wrong labels (b) new data for testing (c) clear, sharp examples (d) many varied examples
4. 4.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
6. 6.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
7. 7.Which of these uses AI? (a) a calculator (b) a printed timetable (c) a kitchen weighing scale (d) face unlock on a phone
8. 8.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) predicting (b) recommending (c) generating (d) recognising
9. 9.True or false: “examples of every type” is bad for training a model. (a) False (b) True
10. 10.True or false: “it answered quickly” is a real way to check an AI answer. (a) True (b) False
11. 11.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
12. 12.Which of these is a myth about AI? (a) AI knows everything (b) AI answers need checking (c) AI can mix up numbers (d) AI learns from data
13. 13.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
14. 14.Which of these is the model? (a) recorded spoken words (b) the trained program (c) old emails marked spam (d) flagging a new email
15. 15.True or false: a phone unlocking when it sees your face is AI predicting something. (a) True (b) False
16. 16.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) guess (c) look in your textbook (d) ask it to repeat
17. 17.Which of these is a myth about AI? (a) AI has real feelings (b) AI answers need checking (c) AI can make up facts (d) AI copies data patterns
18. 18.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) only at night (c) yes, it can think (d) yes, it is smart
19. 19.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) text (b) music or sound (c) an image
20. 20.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
21. 21.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) what training builds (d) 500 labelled leaf photos
22. 22.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
23. 23.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) many labelled photos (d) a list of rules only
24. 24.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) generating (c) recognising (d) recommending
25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
26. 26.🔍 Which is the odd one out? (a) a fan regulator (b) a printed timetable (c) an app translating signs (d) a stopwatch
27. 27.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) False (b) True
28. 28.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) share it online (c) trust the AI (d) stop studying
29. 29.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) False (b) True
30. 30.Which of these is generative AI (it makes something new)? (a) predicting rain (b) spotting spam (c) suggesting a video (d) composing a new tune
31. 31.Which of these helps reduce bias? (a) use one group only (b) check who is missing (c) test on one group only (d) skip testing
32. 32.True or false: “what training builds” is the model. (a) True (b) False
33. 33.True or false: “AI copies data patterns” is a fact about AI. (a) False (b) True
34. 34.True or false: an image generator drawing a robot from a sentence is AI recommending something. (a) False (b) True
35. 35.Which of these is a fact about AI? (a) long answers are true (b) AI copies data patterns (c) AI knows everything (d) AI always checks facts
36. 36.🔍 Which is the odd one out? (a) new data for testing (b) very few examples (c) examples of every type (d) photos in many lights
37. 37.Which of these describes how AI works? (a) same steps every time (b) uses rules people wrote (c) follows fixed rules (d) handles unseen examples
38. 38.🏷️ 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
39. 39.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it is always right (c) it uses electricity (d) it has a screen
40. 40.🔍 Which is the odd one out? (a) spotting spam (b) spotting a sick leaf (c) inventing a recipe (d) predicting rain

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