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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 434 · 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.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) recommending (c) predicting (d) generating
  2. 2.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it uses electricity (c) it has a screen (d) it learns from examples
  3. 3.🔍 Which is the odd one out? (a) very few examples (b) correct labels (c) copies of one photo (d) wrong labels
  4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  5. 5.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
  6. 6.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
  7. 7.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
  8. 8.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  9. 9.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the learned patterns (d) flagging a new email
  10. 10.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
  11. 11.📱 What is the AI doing here: an online shop showing “you may also like”? (a) recommending (b) generating (c) recognising (d) predicting
  12. 12.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  13. 13.🔍 Which is the odd one out? (a) unlocking with a face (b) composing a new tune (c) spotting spam (d) predicting rain
  14. 14.Which of these is generative AI (it makes something new)? (a) composing a new tune (b) predicting rain (c) suggesting a video (d) turning speech to text
  15. 15.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
  16. 16.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
  17. 17.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
  18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  19. 19.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  20. 20.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) music or sound (b) an image (c) text
  21. 21.True or false: “use one group only” helps reduce bias. (a) True (b) False
  22. 22.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) text (c) music or sound
  23. 23.True or false: “a poster of a rainforest” asks for an image. (a) True (b) False
  24. 24.True or false: finding 10% of a price only needs a simple fixed rule. (a) False (b) True
  25. 25.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
  26. 26.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
  27. 27.Which of these is good for training a model? (a) blurry, unclear photos (b) only one kind of example (c) very few examples (d) correct labels
  28. 28.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
  29. 29.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
  30. 30.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) text (c) an image
  31. 31.True or false: “ignore complaints” adds to bias. (a) False (b) True
  32. 32.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
  33. 33.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
  34. 34.Which of these is the model? (a) the learned patterns (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new fruit photo
  35. 35.🔍 Which is the odd one out? (a) AI can be wrong (b) AI is never wrong (c) AI has real feelings (d) AI always checks facts
  36. 36.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
  37. 37.True or false: “recorded spoken words” is training data. (a) True (b) False
  38. 38.🥭 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 may get it wrong (d) it will turn yellow
  39. 39.True or false: “AI knows everything” is a myth about AI. (a) True (b) False
  40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program

Answer key

  1. predicting
  2. it learns from examples
  3. correct labels
  4. training data
  5. a fact
  6. no, it can be wrong
  7. uses AI
  8. adds to bias
  9. 500 labelled leaf photos
  10. makes something new
  11. recommending
  12. True
  13. composing a new tune
  14. composing a new tune
  15. a myth
  16. uses AI
  17. not a real check
  18. training data
  19. reduces bias
  20. music or sound
  21. False
  22. text
  23. True
  24. True
  25. few child voices in data
  26. a simple rule is enough
  27. correct labels
  28. True
  29. sorts or predicts
  30. text
  31. True
  32. not a real check
  33. data, model, prediction
  34. the learned patterns
  35. AI can be wrong
  36. False
  37. True
  38. it may get it wrong
  39. True
  40. 500 labelled leaf photos

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