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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 124 · 40 questions
TalentJR

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.

NameDateTime takenScore ___ / 40
  1. 1.True or false: “makes a best guess” describes how AI works. (a) False (b) True
  2. 2.Which of these is the model? (a) flagging a new email (b) labelled fruit photos (c) past weather records (d) what training builds
  3. 3.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) pick a lucky number (c) guess (d) look in your textbook
  4. 4.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
  5. 5.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
  6. 6.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) generating (b) recommending (c) predicting (d) recognising
  7. 7.🏠 AI or not AI: an app translating signs? (a) not AI (b) uses AI
  8. 8.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) add varied examples (d) test on one group only
  9. 9.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
  10. 10.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
  11. 11.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
  12. 12.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
  13. 13.True or false: “uses rules people wrote” describes how AI works. (a) True (b) False
  14. 14.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, it gets sad (c) yes, just like us (d) only on weekends
  15. 15.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) the trained program (d) 500 labelled leaf photos
  16. 16.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
  17. 17.True or false: “check who is missing” adds to bias. (a) True (b) False
  18. 18.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
  19. 19.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
  20. 20.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
  21. 21.True or false: “balance the data” helps reduce bias. (a) True (b) False
  22. 22.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI answers need checking (c) AI copies data patterns (d) confident means correct
  23. 23.🧮 Which of these is NOT AI? (a) a spam filter (b) voice typing (c) a basic calculator (d) face unlock
  24. 24.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  25. 25.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
  26. 26.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  27. 27.Which of these uses AI? (a) a light switch (b) a calculator (c) a microwave timer (d) a voice assistant
  28. 28.Which of these is good for training a model? (a) blurry, unclear photos (b) copies of one photo (c) checking labels twice (d) very few examples
  29. 29.🔍 Which is the odd one out? (a) AI can be wrong (b) AI answers need checking (c) AI learns from data (d) AI knows everything
  30. 30.💬 What do we call the request you type to a generative AI? (a) a label (b) a prompt (c) a password (d) a battery
  31. 31.Which of these uses AI? (a) an app translating signs (b) a microwave timer (c) a digital watch (d) a kitchen weighing scale
  32. 32.🤖 Who builds and trains AI systems? (a) the Moon (b) people (c) the weather (d) nobody at all
  33. 33.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
  34. 34.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
  35. 35.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  36. 36.Which of these is good for training a model? (a) copies of one photo (b) examples of every type (c) testing on training data (d) labels added at random
  37. 37.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
  38. 38.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  39. 39.Which of these is not AI? (a) voice typing (b) a stopwatch (c) face unlock on a phone (d) photos grouped by face
  40. 40.True or false: “labels added at random” is good for training a model. (a) True (b) False

Answer key

  1. True
  2. what training builds
  3. look in your textbook
  4. False
  5. AI
  6. generating
  7. uses AI
  8. add varied examples
  9. False
  10. good for training
  11. True
  12. True
  13. False
  14. no, it finds patterns
  15. the trained program
  16. data, model, prediction
  17. False
  18. a normal program
  19. a simple rule is enough
  20. good for training
  21. True
  22. confident means correct
  23. a basic calculator
  24. one-sided data
  25. False
  26. the model
  27. a voice assistant
  28. checking labels twice
  29. AI knows everything
  30. a prompt
  31. an app translating signs
  32. people
  33. it learns patterns
  34. a prediction
  35. True
  36. examples of every type
  37. a normal program
  38. balanced data
  39. a stopwatch
  40. False

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