AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 83 · 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 learned patterns” is the model. (a) True (b) False
2. 2.True or false: “a picture of a castle made of mangoes” asks for an image. (a) True (b) False
3. 3.Which of these is AI that sorts, spots or predicts (not generative)? (a) turning speech to text (b) writing a new poem (c) composing a new tune (d) writing quiz questions
4. 4.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
5. 5.Which of these is generative AI (it makes something new)? (a) drawing a new picture (b) spotting spam (c) unlocking with a face (d) spotting a sick leaf
6. 6.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
7. 7.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
8. 8.✨ What does generative AI do? (a) only stores files (b) only adds numbers (c) charges batteries (d) makes new content
9. 9.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) the right answer tag (d) a sticker on a laptop
10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
11. 11.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
12. 12.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
13. 13.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
14. 14.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
15. 15.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, it gets sad (c) yes, just like us (d) no, it finds patterns
16. 16.True or false: a music app suggesting a song you may like is AI recommending something. (a) True (b) False
17. 17.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can be wrong (c) AI answers need checking (d) AI always checks facts
18. 18.Which of these describes how AI works? (a) same steps every time (b) follows fixed rules (c) spots patterns in data (d) uses rules people wrote
19. 19.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
20. 20.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
21. 21.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) no, check it anyway (c) yes, always
22. 22.Which of these is good for training a model? (a) very few examples (b) blurry, unclear photos (c) many varied examples (d) testing on training data
23. 23.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) charge faster (d) clean screens
24. 24.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
25. 25.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
26. 26.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
27. 27.🏠 AI or not AI: a microwave timer? (a) uses AI (b) not AI
28. 28.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
29. 29.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
30. 30.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) flagging a new email (d) 500 labelled leaf photos
31. 31.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.Which of these describes how a normal program works? (a) handles unseen examples (b) learns from examples (c) spots patterns in data (d) does exactly as coded
33. 33.Which of these is good for training a model? (a) blurry, unclear photos (b) only one kind of example (c) wrong labels (d) photos in many lights
34. 34.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
35. 35.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) text (b) music or sound (c) an image
36. 36.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
37. 37.Which of these helps reduce bias? (a) balance the data (b) ignore complaints (c) copy old unfair choices (d) use one group only
38. 38.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
39. 39.True or false: “does exactly as coded” describes how a normal program works. (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) AI is never wrong (b) confident means correct (c) AI always checks facts (d) AI can make up facts

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