AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 944 · 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.Which of these is the model? (a) typing a new spoken word (b) old emails marked spam (c) the trained program (d) recorded spoken words
2. 2.✨ What does generative AI do? (a) charges batteries (b) only adds numbers (c) makes new content (d) only stores files
3. 3.True or false: reading messy handwriting only needs a simple fixed rule. (a) False (b) True
4. 4.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
5. 5.True or false: “AI can be wrong” is a myth about AI. (a) False (b) True
6. 6.Which of these is the model? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) recorded spoken words (d) what training builds
7. 7.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
8. 8.🔍 Which is the odd one out? (a) turning speech to text (b) sorting photos by face (c) spotting spam (d) making up a story
9. 9.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
10. 10.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
11. 11.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
12. 12.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
13. 13.Which of these describes how a normal program works? (a) spots patterns in data (b) improves with more data (c) does exactly as coded (d) learns from examples
14. 14.🎨 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
15. 15.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
16. 16.True or false: “flagging a new email” is a prediction. (a) True (b) False
17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
18. 18.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
19. 19.Which of these uses AI? (a) a stopwatch (b) photos grouped by face (c) a light switch (d) a microwave timer
20. 20.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
21. 21.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
22. 22.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
24. 24.True or false: “one set rule per case” describes how AI works. (a) False (b) True
25. 25.Which of these is a fact about AI? (a) AI has real feelings (b) AI always checks facts (c) AI can be wrong (d) long answers are true
26. 26.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
27. 27.Which of these describes how AI works? (a) same steps every time (b) learns from examples (c) does exactly as coded (d) one set rule per case
28. 28.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
29. 29.🔍 Which is the odd one out? (a) many varied examples (b) clear, sharp examples (c) wrong labels (d) examples of every type
30. 30.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
32. 32.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
33. 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
34. 34.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) only at night (d) no, it follows rules
35. 35.True or false: “confident means correct” is a fact about AI. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
37. 37.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) labels added at random (b) many varied examples (c) blurry, unclear photos (d) testing on training data
39. 39.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
40. 40.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) False (b) True

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