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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 478 · 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.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
  2. 2.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) many varied examples (d) copies of one photo
  3. 3.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) yes, it can think (c) only at night (d) no, it follows rules
  4. 4.True or false: “past weather records” is a prediction. (a) False (b) True
  5. 5.True or false: “a picture of a castle made of mangoes” asks for music or sound. (a) False (b) True
  6. 6.Which of these describes how a normal program works? (a) spots patterns in data (b) handles unseen examples (c) makes a best guess (d) follows fixed rules
  7. 7.💬 What do we call the request you type to a generative AI? (a) a label (b) a battery (c) a password (d) a prompt
  8. 8.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) balance the data (d) add more of the same
  9. 9.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
  10. 10.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  11. 11.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  12. 12.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
  13. 13.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) True (b) False
  14. 14.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
  15. 15.Which of these helps reduce bias? (a) use one group only (b) balance the data (c) copy old unfair choices (d) skip testing
  16. 16.🧮 Which of these is NOT AI? (a) a spam filter (b) voice typing (c) face unlock (d) a basic calculator
  17. 17.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
  18. 18.🔍 Which is the odd one out? (a) checking labels twice (b) correct labels (c) only one kind of example (d) examples of every type
  19. 19.True or false: “learns from examples” describes how a normal program works. (a) False (b) True
  20. 20.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) False (b) True
  21. 21.True or false: “AI always checks facts” is a myth about AI. (a) False (b) True
  22. 22.🥭 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
  23. 23.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
  24. 24.True or false: a weather app guessing tomorrow’s rain is AI predicting something. (a) True (b) False
  25. 25.🤖 What does AI stand for? (a) artificial intelligence (b) automatic internet (c) actual information (d) app installer
  26. 26.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
  27. 27.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
  28. 28.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) predicting (b) recommending (c) recognising (d) generating
  29. 29.True or false: “copies of one photo” is good for training a model. (a) False (b) True
  30. 30.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new fruit photo
  31. 31.True or false: “labels added at random” is good for training a model. (a) False (b) True
  32. 32.True or false: a music app suggesting a song you may like is AI generating something new. (a) True (b) False
  33. 33.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  34. 34.True or false: suggesting the next word as you type needs AI that learns from examples. (a) False (b) True
  35. 35.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
  36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  37. 37.True or false: “it is long and detailed” is a real way to check an AI answer. (a) False (b) True
  38. 38.True or false: “the trained program” is the model. (a) False (b) True
  39. 39.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  40. 40.True or false: “testing on training data” is good for training a model. (a) True (b) False

Answer key

  1. good for training
  2. copies of one photo
  3. no, it follows rules
  4. False
  5. False
  6. follows fixed rules
  7. a prompt
  8. balance the data
  9. the trained program
  10. adds to bias
  11. AI
  12. good for training
  13. True
  14. makes something new
  15. balance the data
  16. a basic calculator
  17. makes something new
  18. only one kind of example
  19. False
  20. False
  21. True
  22. it may get it wrong
  23. more varied data
  24. True
  25. artificial intelligence
  26. bad for training
  27. a fact
  28. generating
  29. False
  30. naming a new fruit photo
  31. False
  32. False
  33. a prediction
  34. True
  35. a normal program
  36. training data
  37. False
  38. True
  39. the model
  40. False

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