AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 162 · 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 is the odd one out? (a) a spam filter (b) a stopwatch (c) an AI chatbot (d) a map predicting traffic
2. 2.Which of these is the model? (a) tomorrow’s rain guess (b) the trained program (c) old emails marked spam (d) recorded spoken words
3. 3.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
4. 4.🔍 Which is the odd one out? (a) copies of one photo (b) only one kind of example (c) blurry, unclear photos (d) correct labels
5. 5.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) only at night (c) no, it follows rules (d) yes, it is smart
6. 6.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
7. 7.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) True (b) False
8. 8.🤖 What does AI stand for? (a) actual information (b) app installer (c) automatic internet (d) artificial intelligence
9. 9.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) False (b) True
10. 10.✨ What does generative AI do? (a) makes new content (b) only adds numbers (c) only stores files (d) charges batteries
11. 11.Which of these describes how a normal program works? (a) improves with more data (b) learns from examples (c) makes a best guess (d) does exactly as coded
12. 12.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) one group only (d) ignoring mistakes
13. 13.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
14. 14.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
15. 15.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
16. 16.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) recognising (b) recommending (c) predicting (d) generating
17. 17.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) cooking (c) recommending (d) printing
18. 18.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
19. 19.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
20. 20.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
21. 21.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
22. 22.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
23. 23.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) nobody at all (d) people
24. 24.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
25. 25.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) what training builds (d) typing a new spoken word
26. 26.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
27. 27.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
28. 28.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
29. 29.Which of these is a myth about AI? (a) AI answers need checking (b) AI can make up facts (c) AI learns from data (d) AI is never wrong
30. 30.🏷️ 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
31. 31.True or false: “use one group only” adds to bias. (a) True (b) False
32. 32.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
33. 33.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
34. 34.True or false: “testing on training data” is good for training a model. (a) True (b) False
35. 35.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
36. 36.Which of these is training data? (a) labelled fruit photos (b) typing a new spoken word (c) tomorrow’s rain guess (d) the learned patterns
37. 37.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
38. 38.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
39. 39.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
40. 40.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough

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