AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 897 · 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: a book app suggesting a story like your last one is AI recommending something. (a) False (b) True
2. 2.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) no, it finds patterns (c) yes, it gets sad (d) only on weekends
3. 3.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
4. 4.Which of these helps reduce bias? (a) copy old unfair choices (b) balance the data (c) skip testing (d) use one group only
5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
6. 6.🔍 Which is the odd one out? (a) AI answers need checking (b) AI learns from data (c) AI has real feelings (d) AI can be wrong
7. 7.🔍 Which is the odd one out? (a) a printed timetable (b) a microwave timer (c) an AI chatbot (d) a torch
8. 8.True or false: finding 10% of a price only needs a simple fixed rule. (a) True (b) False
9. 9.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
10. 10.Which of these describes how AI works? (a) one set rule per case (b) never learns from data (c) same steps every time (d) makes a best guess
11. 11.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
12. 12.True or false: a phone unlocking when it sees your face is AI predicting something. (a) False (b) True
13. 13.True or false: “a logo idea for the eco club” asks for an image. (a) True (b) False
14. 14.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
15. 15.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
16. 16.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
17. 17.🔍 Which is the odd one out? (a) correct labels (b) copies of one photo (c) very few examples (d) testing on training data
18. 18.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
19. 19.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) composing a new tune (c) predicting rain (d) suggesting a video
20. 20.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) spots patterns in data (d) same steps every time
21. 21.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
22. 22.Which of these is good for training a model? (a) blurry, unclear photos (b) testing on training data (c) examples of every type (d) wrong labels
23. 23.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
24. 24.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
25. 25.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
26. 26.Which of these is a fact about AI? (a) AI copies data patterns (b) AI knows everything (c) AI always checks facts (d) long answers are true
27. 27.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
28. 28.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
29. 29.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
30. 30.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
31. 31.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) AI always checks facts (b) AI has real feelings (c) AI learns from data (d) AI knows everything
33. 33.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) generating (b) recommending (c) predicting (d) recognising
34. 34.🔍 Which is the odd one out? (a) new data for testing (b) very few examples (c) clear, sharp examples (d) examples of every type
35. 35.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) naming a new leaf (d) labelled fruit photos
36. 36.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
37. 37.True or false: “a picture of a castle made of mangoes” asks for text. (a) True (b) False
38. 38.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) fix wrong labels (d) test on one group only
39. 39.🎨 An image generator makes a picture from… (a) a phone number (b) the weather (c) a text description (d) your password
40. 40.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)

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