AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 331 · 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.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) people (d) the weather
2. 2.Which of these is a myth about AI? (a) AI can mix up numbers (b) long answers are true (c) AI copies data patterns (d) AI can make up facts
3. 3.True or false: “wrong labels” is bad for training a model. (a) False (b) True
4. 4.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
5. 5.Which of these is generative AI (it makes something new)? (a) reading number plates (b) writing a new poem (c) turning speech to text (d) unlocking with a face
6. 6.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
7. 7.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
8. 8.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
9. 9.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
10. 10.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will turn yellow (c) it will shut down (d) it will be perfect
11. 11.Which of these uses AI? (a) an AI chatbot (b) a light switch (c) a calculator (d) a torch
12. 12.True or false: “a logo idea for the eco club” asks for an image. (a) False (b) True
13. 13.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
14. 14.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
15. 15.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
16. 16.Which of these adds to bias? (a) balance the data (b) test on many groups (c) test on one group only (d) add varied examples
17. 17.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) sorting photos by face (c) drafting a letter (d) writing a new poem
18. 18.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recognising (b) predicting (c) recommending (d) generating
19. 19.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
20. 20.True or false: “a picture of a castle made of mangoes” asks for music or sound. (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.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) music or sound (c) an image
23. 23.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) ask it to hurry (c) check it on paper (d) copy it straight away
24. 24.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) many labelled photos (d) one single photo
25. 25.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
26. 26.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
27. 27.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) balance the data (d) skip testing
28. 28.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
29. 29.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
30. 30.True or false: “AI has real feelings” is a myth about AI. (a) False (b) True
31. 31.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
32. 32.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
33. 33.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
34. 34.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) only on weekends (c) yes, just like us (d) yes, it gets sad
35. 35.Which of these is a prediction? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) past weather records (d) the learned patterns
36. 36.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
37. 37.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) no, check it anyway (c) yes, if it is long
38. 38.True or false: “test on one group only” adds to bias. (a) False (b) True
39. 39.Which of these describes how AI works? (a) does exactly as coded (b) improves with more data (c) never learns from data (d) follows fixed rules
40. 40.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True

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