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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 440 · 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.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) printing (c) charging (d) cooking
  2. 2.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
  3. 3.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
  4. 4.Which of these is bad for training a model? (a) examples of every type (b) checking labels twice (c) many varied examples (d) labels added at random
  5. 5.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  6. 6.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
  7. 7.True or false: “check who is missing” adds to bias. (a) True (b) False
  8. 8.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a backup (c) a password (d) a summary
  9. 9.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
  10. 10.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) naming a new leaf (d) recorded spoken words
  11. 11.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
  12. 12.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
  13. 13.True or false: suggesting the next word as you type needs AI that learns from examples. (a) False (b) True
  14. 14.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) check who is missing (d) balance the data
  15. 15.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
  16. 16.🎨 An image generator makes a picture from… (a) the weather (b) your password (c) a phone number (d) a text description
  17. 17.Which of these is good for training a model? (a) only one kind of example (b) labels added at random (c) photos in many lights (d) wrong labels
  18. 18.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
  19. 19.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) False (b) True
  20. 20.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  21. 21.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
  22. 22.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
  23. 23.🤖 What does AI stand for? (a) artificial intelligence (b) automatic internet (c) actual information (d) app installer
  24. 24.Which of these uses AI? (a) a microwave timer (b) a calculator (c) a kitchen weighing scale (d) a map predicting traffic
  25. 25.🔍 Which is the odd one out? (a) AI knows everything (b) long answers are true (c) AI learns from data (d) AI is never wrong
  26. 26.True or false: “gives a likely answer” describes how AI works. (a) True (b) False
  27. 27.🔍 Which is the odd one out? (a) new data for testing (b) examples of every type (c) photos in many lights (d) very few examples
  28. 28.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
  29. 29.Which of these uses AI? (a) a kitchen weighing scale (b) a fan regulator (c) voice typing (d) a stopwatch
  30. 30.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) False (b) True
  31. 31.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
  32. 32.True or false: “ask different people” helps reduce bias. (a) False (b) True
  33. 33.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  34. 34.Which of these describes how AI works? (a) does exactly as coded (b) never learns from data (c) one set rule per case (d) spots patterns in data
  35. 35.⏩ 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
  36. 36.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
  37. 37.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  38. 38.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  39. 39.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) test on many groups (d) test on one group only
  40. 40.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns

Answer key

  1. recommending
  2. a normal program
  3. True
  4. labels added at random
  5. False
  6. makes something new
  7. False
  8. a hallucination
  9. needs AI (learning)
  10. naming a new leaf
  11. a myth
  12. needs AI (learning)
  13. True
  14. test on one group only
  15. bad for training
  16. a text description
  17. photos in many lights
  18. a simple rule is enough
  19. True
  20. balanced data
  21. good for training
  22. True
  23. artificial intelligence
  24. a map predicting traffic
  25. AI learns from data
  26. True
  27. very few examples
  28. False
  29. voice typing
  30. True
  31. a fact
  32. True
  33. one-sided data
  34. spots patterns in data
  35. the learned patterns
  36. makes something new
  37. False
  38. adds to bias
  39. test on many groups
  40. it learns patterns

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