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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 189 · 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.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  2. 2.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
  3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
  4. 4.True or false: “AI can mix up numbers” is a fact about AI. (a) False (b) True
  5. 5.Which of these is good for training a model? (a) labels added at random (b) testing on training data (c) examples of every type (d) copies of one photo
  6. 6.True or false: “photos in many lights” is good for training a model. (a) False (b) True
  7. 7.Which of these describes how AI works? (a) never learns from data (b) does exactly as coded (c) follows fixed rules (d) handles unseen examples
  8. 8.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
  9. 9.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it may get it wrong (d) it will be perfect
  10. 10.🔍 Which is the odd one out? (a) checking labels twice (b) clear, sharp examples (c) labels added at random (d) new data for testing
  11. 11.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
  12. 12.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
  13. 13.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI always checks facts (c) AI can make up facts (d) AI copies data patterns
  14. 14.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen
  15. 15.🔍 Which is the odd one out? (a) balance the data (b) add more of the same (c) test on one group only (d) ignore complaints
  16. 16.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the right answer tag (d) the font size
  17. 17.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
  18. 18.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) fix wrong labels (d) use one group only
  19. 19.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) spotting a sick leaf (c) drafting a letter (d) turning speech to text
  20. 20.True or false: “AI knows everything” is a fact about AI. (a) False (b) True
  21. 21.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) False (b) True
  22. 22.True or false: a video app suggesting what to watch next is AI recommending something. (a) False (b) True
  23. 23.Which of these describes how a normal program works? (a) handles unseen examples (b) learns from examples (c) uses rules people wrote (d) spots patterns in data
  24. 24.🔍 Which is the odd one out? (a) confident means correct (b) AI learns from data (c) AI copies data patterns (d) AI answers need checking
  25. 25.🔍 Which is the odd one out? (a) long answers are true (b) AI can mix up numbers (c) AI knows everything (d) AI always checks facts
  26. 26.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
  27. 27.Which of these is not AI? (a) a map predicting traffic (b) a printed timetable (c) an AI chatbot (d) an image generator
  28. 28.True or false: reading messy handwriting needs AI that learns from examples. (a) True (b) False
  29. 29.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
  30. 30.Which of these is not AI? (a) an image generator (b) a map predicting traffic (c) a digital watch (d) an AI chatbot
  31. 31.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
  32. 32.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
  33. 33.True or false: “copies of one photo” is good for training a model. (a) True (b) False
  34. 34.🔍 Which is the odd one out? (a) a light switch (b) a kitchen weighing scale (c) voice typing (d) a calculator
  35. 35.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a list of rules only (d) a song about dogs
  36. 36.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) stop studying (c) trust the AI (d) share it online
  37. 37.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) predicting (c) sleeping (d) drawing
  38. 38.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
  39. 39.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  40. 40.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI

Answer key

  1. balanced data
  2. needs AI (learning)
  3. not spam
  4. True
  5. examples of every type
  6. True
  7. handles unseen examples
  8. data, model, prediction
  9. it may get it wrong
  10. labels added at random
  11. music or sound
  12. it learns patterns
  13. AI always checks facts
  14. bias from data
  15. balance the data
  16. the right answer tag
  17. True
  18. fix wrong labels
  19. drafting a letter
  20. False
  21. True
  22. True
  23. uses rules people wrote
  24. confident means correct
  25. AI can mix up numbers
  26. sorts or predicts
  27. a printed timetable
  28. True
  29. False
  30. a digital watch
  31. False
  32. more varied data
  33. False
  34. voice typing
  35. many labelled photos
  36. trust the textbook
  37. predicting
  38. no, check it anyway
  39. one-sided data
  40. not AI

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