AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 998 · 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: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
2. 2.Which of these describes how a normal program works? (a) handles unseen examples (b) learns from examples (c) uses rules people wrote (d) spots patterns in data
3. 3.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
4. 4.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
5. 5.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
7. 7.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
8. 8.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
9. 9.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
10. 10.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
11. 11.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) no, it finds patterns (c) yes, just like us (d) only on weekends
12. 12.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) drawing a new picture (c) turning speech to text (d) drafting a letter
13. 13.Which of these is good for training a model? (a) testing on training data (b) labels added at random (c) very few examples (d) correct labels
14. 14.🔍 Which is the odd one out? (a) AI has real feelings (b) AI knows everything (c) long answers are true (d) AI can mix up numbers
15. 15.Which of these is the model? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the learned patterns (d) old emails marked spam
16. 16.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
17. 17.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
18. 18.🔍 Which is the odd one out? (a) video suggestions (b) face unlock on a phone (c) an app translating signs (d) a printed timetable
19. 19.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) check who is missing (d) ignore complaints
20. 20.True or false: “wrong labels” is good for training a model. (a) False (b) True
21. 21.🤖 Who builds and trains AI systems? (a) the weather (b) nobody at all (c) people (d) the Moon
22. 22.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
23. 23.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
24. 24.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) balance the data (d) ignore complaints
25. 25.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) False (b) True
26. 26.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) share it online (c) trust the AI (d) trust the textbook
27. 27.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
28. 28.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
29. 29.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) follows fixed rules (d) gives a likely answer
30. 30.Which of these is generative AI (it makes something new)? (a) writing a new poem (b) predicting rain (c) spotting spam (d) turning speech to text
31. 31.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
32. 32.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it uses electricity (c) it is always right (d) it learns from examples
33. 33.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
34. 34.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
35. 35.True or false: “a poster of a rainforest” asks for an image. (a) True (b) False
36. 36.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
37. 37.Which of these is bad for training a model? (a) clear, sharp examples (b) new data for testing (c) photos in many lights (d) testing on training data
38. 38.🔍 Which is the odd one out? (a) video suggestions (b) an app translating signs (c) a microwave timer (d) an AI chatbot
39. 39.🔍 Which is the odd one out? (a) spotting spam (b) sorting photos by face (c) turning speech to text (d) writing a new poem
40. 40.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) False (b) True

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