AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 319 · 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.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
2. 2.✨ What does generative AI do? (a) only stores files (b) charges batteries (c) only adds numbers (d) makes new content
3. 3.True or false: “flagging a new email” is a prediction. (a) True (b) False
4. 4.Which of these describes how a normal program works? (a) makes a best guess (b) never learns from data (c) learns from examples (d) improves with more data
5. 5.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
6. 6.True or false: “AI always checks facts” is a myth about AI. (a) True (b) False
7. 7.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) True (b) False
8. 8.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will be perfect (c) it will turn yellow (d) it will shut down
9. 9.True or false: “a thank-you note to the bus driver” asks for text. (a) True (b) False
10. 10.True or false: “checking labels twice” is good for training a model. (a) False (b) True
11. 11.🤖 Who builds and trains AI systems? (a) the weather (b) the Moon (c) nobody at all (d) people
12. 12.🔍 Which is the odd one out? (a) AI can make up facts (b) AI has real feelings (c) AI answers need checking (d) AI can mix up numbers
13. 13.Which of these is a fact about AI? (a) AI is never wrong (b) AI can be wrong (c) AI always checks facts (d) long answers are true
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
15. 15.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) sleeping (c) predicting (d) drawing
16. 16.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
17. 17.True or false: “examples of every type” is good for training a model. (a) True (b) False
18. 18.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) an image (c) text
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
20. 20.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
21. 21.True or false: showing the time on a clock only needs a simple fixed rule. (a) True (b) False
22. 22.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) writing a new poem (c) writing quiz questions (d) spotting a sick leaf
23. 23.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) naming a new leaf (d) labelled fruit photos
24. 24.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
25. 25.🔍 Which is the odd one out? (a) add varied examples (b) test on one group only (c) check who is missing (d) fix wrong labels
26. 26.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
27. 27.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
28. 28.True or false: a book app suggesting a story like your last one is AI recommending something. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) blurry, unclear photos (b) copies of one photo (c) clear, sharp examples (d) only one kind of example
30. 30.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
31. 31.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) check it on paper (c) copy it straight away (d) never do maths
32. 32.True or false: “AI is never wrong” is a myth about AI. (a) False (b) True
33. 33.Which of these is the model? (a) 500 labelled leaf photos (b) what training builds (c) naming a new fruit photo (d) past weather records
34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
35. 35.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, it gets sad (c) no, it finds patterns (d) yes, just like us
36. 36.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
37. 37.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
38. 38.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) creating a cartoon (c) predicting rain (d) spotting spam
39. 39.True or false: “AI can be wrong” is a fact about AI. (a) False (b) True
40. 40.True or false: turning your spoken words into typed text is AI predicting something. (a) True (b) False

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