AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 881 · 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.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
2. 2.True or false: “recorded spoken words” is training data. (a) False (b) True
3. 3.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
4. 4.True or false: turning your spoken words into typed text is AI recognising something. (a) False (b) True
5. 5.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
6. 6.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
7. 7.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
8. 8.🔍 Which is the odd one out? (a) inventing a recipe (b) predicting rain (c) drawing a new picture (d) creating a cartoon
9. 9.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
10. 10.Which of these is bad for training a model? (a) labels added at random (b) examples of every type (c) checking labels twice (d) clear, sharp examples
11. 11.True or false: converting metres into centimetres only needs a simple fixed rule. (a) False (b) True
12. 12.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
13. 13.Which of these is good for training a model? (a) blurry, unclear photos (b) photos in many lights (c) only one kind of example (d) testing on training data
14. 14.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
15. 15.🔍 Which is the odd one out? (a) AI copies data patterns (b) confident means correct (c) AI learns from data (d) AI can mix up numbers
16. 16.True or false: sorting names in A to Z order needs AI that learns from examples. (a) True (b) False
17. 17.True or false: “many varied examples” is good for training a model. (a) False (b) True
18. 18.Which of these uses AI? (a) a kitchen weighing scale (b) a torch (c) an AI chatbot (d) a microwave timer
19. 19.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it is always right (c) it has a screen (d) it learns from examples
20. 20.True or false: “a summary of chapter 3” asks for an image. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
22. 22.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
23. 23.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) blurry, unclear photos (d) clear, sharp examples
24. 24.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
25. 25.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
26. 26.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
27. 27.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
28. 28.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
29. 29.Which of these describes how a normal program works? (a) handles unseen examples (b) learns from examples (c) one set rule per case (d) makes a best guess
30. 30.🔍 Which is the odd one out? (a) AI knows everything (b) confident means correct (c) AI can be wrong (d) AI always checks facts
31. 31.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) the trained program (d) flagging a new email
32. 32.✍️ How does an AI chatbot write its replies? (a) asks a person (b) copies one website (c) uses magic (d) predicts likely words
33. 33.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) False (b) True
34. 34.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
35. 35.Which of these is a myth about AI? (a) AI is never wrong (b) AI answers need checking (c) AI copies data patterns (d) AI can be wrong
36. 36.🔍 Which is the odd one out? (a) photos in many lights (b) copies of one photo (c) clear, sharp examples (d) new data for testing
37. 37.Which of these is a myth about AI? (a) AI learns from data (b) AI can make up facts (c) AI has real feelings (d) AI copies data patterns
38. 38.True or false: “add varied examples” helps reduce bias. (a) False (b) True
39. 39.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) a song about dogs (d) one single photo
40. 40.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI

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