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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 231 · 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.🔍 Which is the odd one out? (a) AI copies data patterns (b) confident means correct (c) AI learns from data (d) AI answers need checking
  2. 2.Which of these is a myth about AI? (a) AI can make up facts (b) AI can mix up numbers (c) AI learns from data (d) AI has real feelings
  3. 3.True or false: “checking labels twice” is good for training a model. (a) True (b) False
  4. 4.Which of these is a myth about AI? (a) AI answers need checking (b) AI copies data patterns (c) AI knows everything (d) AI can make up facts
  5. 5.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) yes, it can think (c) no, it follows rules (d) only at night
  6. 6.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  7. 7.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  8. 8.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
  9. 9.Which of these describes how AI works? (a) never learns from data (b) uses rules people wrote (c) improves with more data (d) one set rule per case
  10. 10.🔍 Which is the odd one out? (a) AI can make up facts (b) AI can be wrong (c) AI learns from data (d) AI knows everything
  11. 11.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) a sticker on a laptop (d) the right answer tag
  12. 12.🔍 Which is the odd one out? (a) AI learns from data (b) confident means correct (c) AI has real feelings (d) AI is never wrong
  13. 13.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
  14. 14.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
  15. 15.True or false: “examples of every type” is good for training a model. (a) True (b) False
  16. 16.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
  17. 17.True or false: “examples of every type” is bad for training a model. (a) True (b) False
  18. 18.Which of these is bad for training a model? (a) checking labels twice (b) photos in many lights (c) copies of one photo (d) clear, sharp examples
  19. 19.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
  20. 20.🔍 Which is the odd one out? (a) AI knows everything (b) confident means correct (c) AI answers need checking (d) AI is never wrong
  21. 21.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
  22. 22.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) people (d) the Moon
  23. 23.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  24. 24.True or false: “a story about a brave ant” asks for music or sound. (a) True (b) False
  25. 25.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  26. 26.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  27. 27.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) yes, always (c) only on Mondays
  28. 28.Which of these is not AI? (a) a torch (b) an app translating signs (c) face unlock on a phone (d) photos grouped by face
  29. 29.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  30. 30.Which of these is a myth about AI? (a) AI is never wrong (b) AI can be wrong (c) AI answers need checking (d) AI copies data patterns
  31. 31.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
  32. 32.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  33. 33.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  34. 34.Which of these is a prediction? (a) the trained program (b) naming a new leaf (c) recorded spoken words (d) 500 labelled leaf photos
  35. 35.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
  36. 36.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
  37. 37.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a label (c) a battery (d) a password
  38. 38.🔍 Which is the odd one out? (a) a torch (b) a stopwatch (c) an AI chatbot (d) a calculator
  39. 39.Which of these is not AI? (a) a doorbell (b) voice typing (c) photos grouped by face (d) video suggestions
  40. 40.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check

Answer key

  1. confident means correct
  2. AI has real feelings
  3. True
  4. AI knows everything
  5. no, it follows rules
  6. balanced data
  7. a normal program
  8. False
  9. improves with more data
  10. AI knows everything
  11. the right answer tag
  12. AI learns from data
  13. bad for training
  14. False
  15. True
  16. a myth
  17. False
  18. copies of one photo
  19. True
  20. AI answers need checking
  21. to see if it works
  22. people
  23. AI
  24. False
  25. training data
  26. True
  27. no, it can be wrong
  28. a torch
  29. True
  30. AI is never wrong
  31. a fact
  32. adds to bias
  33. past weather records
  34. naming a new leaf
  35. good for training
  36. True
  37. a prompt
  38. an AI chatbot
  39. a doorbell
  40. a real check

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