AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 179 · 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 message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
2. 2.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
3. 3.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
4. 4.🔍 Which is the odd one out? (a) inventing a recipe (b) drawing a new picture (c) creating a cartoon (d) reading number plates
5. 5.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
6. 6.🔍 Which is the odd one out? (a) a stopwatch (b) an image generator (c) a voice assistant (d) face unlock on a phone
7. 7.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) yes, just like us (c) only on weekends (d) no, it finds patterns
8. 8.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
9. 9.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
10. 10.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
11. 11.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) composing a new tune (c) drafting a letter (d) turning speech to text
12. 12.True or false: “naming a new leaf” is a prediction. (a) False (b) True
13. 13.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) balance the data (d) copy old unfair choices
14. 14.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
15. 15.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) share it online (c) stop studying (d) trust the textbook
16. 16.Which of these is good for training a model? (a) blurry, unclear photos (b) very few examples (c) new data for testing (d) wrong labels
17. 17.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
18. 18.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
19. 19.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) add varied examples (d) copy old unfair choices
20. 20.🔍 Which is the odd one out? (a) examples of every type (b) checking labels twice (c) copies of one photo (d) clear, sharp examples
21. 21.🔍 Which is the odd one out? (a) confident means correct (b) AI can mix up numbers (c) AI copies data patterns (d) AI answers need checking
22. 22.Which of these is a fact about AI? (a) long answers are true (b) AI can make up facts (c) AI is never wrong (d) confident means correct
23. 23.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
24. 24.Which of these is a fact about AI? (a) AI knows everything (b) confident means correct (c) AI has real feelings (d) AI can mix up numbers
25. 25.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) recognising (b) generating (c) recommending (d) predicting
26. 26.🔍 Which is the odd one out? (a) a map predicting traffic (b) an AI chatbot (c) an app translating signs (d) a torch
27. 27.🔍 Which is the odd one out? (a) very few examples (b) wrong labels (c) many varied examples (d) testing on training data
28. 28.True or false: “the learned patterns” is a prediction. (a) True (b) False
29. 29.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
30. 30.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
31. 31.Which of these is good for training a model? (a) copies of one photo (b) checking labels twice (c) labels added at random (d) blurry, unclear photos
32. 32.True or false: “a summary of chapter 3” asks for text. (a) True (b) False
33. 33.Which of these uses AI? (a) a stopwatch (b) a calculator (c) a microwave timer (d) voice typing
34. 34.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) photos in many lights (d) very few examples
35. 35.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
36. 36.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
37. 37.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
38. 38.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) flagging a new email (d) old emails marked spam
39. 39.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
40. 40.Which of these is bad for training a model? (a) checking labels twice (b) photos in many lights (c) wrong labels (d) clear, sharp examples

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