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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 686 · 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: adding up the marks on a report card needs AI that learns from examples. (a) False (b) True
  2. 2.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
  3. 3.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) use one group only (d) test on many groups
  4. 4.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) False (b) True
  5. 5.Which of these describes how AI works? (a) makes a best guess (b) follows fixed rules (c) does exactly as coded (d) uses rules people wrote
  6. 6.True or false: a car camera reading a speed sign is AI generating something new. (a) True (b) False
  7. 7.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  8. 8.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
  9. 9.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  10. 10.Which of these uses AI? (a) a torch (b) a calculator (c) an AI chatbot (d) a light switch
  11. 11.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it will turn yellow (d) it may get it wrong
  12. 12.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  13. 13.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
  14. 14.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
  15. 15.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) False (b) True
  16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
  17. 17.True or false: “AI knows everything” is a myth about AI. (a) False (b) True
  18. 18.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it learns from examples (c) it is always right (d) it has a screen
  19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
  20. 20.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  21. 21.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) False (b) True
  22. 22.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) only on weekends (c) no, it finds patterns (d) yes, just like us
  23. 23.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the price (d) the right answer tag
  24. 24.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
  25. 25.True or false: “wrong labels” is bad for training a model. (a) False (b) True
  26. 26.Which of these is a myth about AI? (a) AI copies data patterns (b) AI is never wrong (c) AI answers need checking (d) AI can make up facts
  27. 27.True or false: “ignore complaints” adds to bias. (a) True (b) False
  28. 28.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
  29. 29.True or false: “write a poem about the monsoon” asks for text. (a) False (b) True
  30. 30.True or false: “it has a neat layout” is a real way to check an AI answer. (a) False (b) True
  31. 31.True or false: “past weather records” is a prediction. (a) True (b) False
  32. 32.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) one single photo (d) many labelled photos
  33. 33.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) clean screens (d) charge faster
  34. 34.Which of these is a prediction? (a) naming a new leaf (b) old emails marked spam (c) 500 labelled leaf photos (d) recorded spoken words
  35. 35.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) singing (c) drawing (d) sleeping
  36. 36.True or false: “AI learns from data” is a fact about AI. (a) False (b) True
  37. 37.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
  38. 38.Which of these uses AI? (a) a light switch (b) a map predicting traffic (c) a doorbell (d) a digital watch
  39. 39.🔍 Which is the odd one out? (a) clear, sharp examples (b) wrong labels (c) labels added at random (d) very few examples
  40. 40.🏠 AI or not AI: a printed timetable? (a) not AI (b) uses AI

Answer key

  1. False
  2. AI
  3. test on many groups
  4. True
  5. makes a best guess
  6. False
  7. the learned patterns
  8. not spam
  9. balanced data
  10. an AI chatbot
  11. it may get it wrong
  12. adds to bias
  13. not AI
  14. a myth
  15. False
  16. a prediction
  17. True
  18. it learns from examples
  19. spam
  20. False
  21. True
  22. no, it finds patterns
  23. the right answer tag
  24. data, model, prediction
  25. True
  26. AI is never wrong
  27. True
  28. False
  29. True
  30. False
  31. False
  32. many labelled photos
  33. learn from data
  34. naming a new leaf
  35. predicting
  36. True
  37. AI
  38. a map predicting traffic
  39. clear, sharp examples
  40. not AI

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