AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 943 · 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: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
2. 2.Which of these is a fact about AI? (a) AI has real feelings (b) AI can mix up numbers (c) AI always checks facts (d) confident means correct
3. 3.True or false: “AI always checks facts” is a myth about AI. (a) False (b) True
4. 4.True or false: “add varied examples” helps reduce bias. (a) True (b) False
5. 5.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) turning speech to text (c) composing a new tune (d) sorting photos by face
6. 6.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
7. 7.True or false: “test on many groups” helps reduce bias. (a) True (b) False
8. 8.Which of these is a myth about AI? (a) AI answers need checking (b) AI can be wrong (c) AI learns from data (d) long answers are true
9. 9.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a password (c) a battery (d) a label
10. 10.✨ What does generative AI do? (a) charges batteries (b) only stores files (c) only adds numbers (d) makes new content
11. 11.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) drawing (c) singing (d) predicting
12. 12.True or false: “AI can make up facts” is a fact about AI. (a) True (b) False
13. 13.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) making up a story (c) drawing a new picture (d) spotting a sick leaf
14. 14.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
15. 15.🔍 Which is the odd one out? (a) many varied examples (b) wrong labels (c) very few examples (d) labels added at random
16. 16.True or false: “many varied examples” is bad for training a model. (a) True (b) False
17. 17.Which of these is generative AI (it makes something new)? (a) spotting spam (b) predicting rain (c) drawing a new picture (d) turning speech to text
18. 18.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
19. 19.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
20. 20.🔍 Which is the odd one out? (a) composing a new tune (b) inventing a recipe (c) spotting spam (d) creating a cartoon
21. 21.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
22. 22.Which of these is AI that sorts, spots or predicts (not generative)? (a) turning speech to text (b) drafting a letter (c) inventing a recipe (d) composing a new tune
23. 23.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
24. 24.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
25. 25.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
26. 26.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it learns from examples (c) it is always right (d) it uses electricity
27. 27.True or false: “AI copies data patterns” is a myth about AI. (a) True (b) False
28. 28.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
29. 29.🤖 Who builds and trains AI systems? (a) the weather (b) people (c) nobody at all (d) the Moon
30. 30.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
31. 31.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
33. 33.Which of these describes how AI works? (a) one set rule per case (b) same steps every time (c) uses rules people wrote (d) handles unseen examples
34. 34.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
35. 35.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
36. 36.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
37. 37.🔍 Which is the odd one out? (a) unlocking with a face (b) predicting rain (c) suggesting a video (d) writing a new poem
38. 38.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
39. 39.True or false: an online shop showing “you may also like” is AI predicting something. (a) True (b) False
40. 40.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training

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