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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 545 · 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.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) music or sound (b) an image (c) text
  2. 2.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
  3. 3.Which of these is bad for training a model? (a) correct labels (b) many varied examples (c) testing on training data (d) clear, sharp examples
  4. 4.True or false: “testing on training data” is bad for training a model. (a) False (b) True
  5. 5.True or false: a car camera reading a speed sign is AI generating something new. (a) True (b) False
  6. 6.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it will turn yellow (d) it may get it wrong
  7. 7.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  8. 8.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) what training builds (d) naming a new leaf
  9. 9.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
  10. 10.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
  11. 11.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  12. 12.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) correct labels (d) very few examples
  13. 13.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) False (b) True
  14. 14.True or false: a phone unlocking when it sees your face is AI recognising something. (a) True (b) False
  15. 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  16. 16.Which of these describes how AI works? (a) follows fixed rules (b) uses rules people wrote (c) does exactly as coded (d) gives a likely answer
  17. 17.Which of these adds to bias? (a) test on one group only (b) add varied examples (c) ask different people (d) test on many groups
  18. 18.Which of these describes how AI works? (a) one set rule per case (b) learns from examples (c) does exactly as coded (d) same steps every time
  19. 19.🔍 Which is the odd one out? (a) spotting spam (b) predicting rain (c) suggesting a video (d) creating a cartoon
  20. 20.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
  21. 21.Which of these is good for training a model? (a) copies of one photo (b) correct labels (c) wrong labels (d) blurry, unclear photos
  22. 22.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
  23. 23.🔍 Which is the odd one out? (a) AI knows everything (b) AI learns from data (c) AI is never wrong (d) confident means correct
  24. 24.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  25. 25.True or false: “a poster of a rainforest” asks for an image. (a) True (b) False
  26. 26.🔍 Which is the odd one out? (a) video suggestions (b) a fan regulator (c) a light switch (d) a digital watch
  27. 27.True or false: “never learns from data” describes how AI works. (a) True (b) False
  28. 28.True or false: an online shop showing “you may also like” is AI generating something new. (a) True (b) False
  29. 29.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
  30. 30.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
  31. 31.True or false: “confident means correct” is a fact about AI. (a) False (b) True
  32. 32.True or false: “one set rule per case” describes how AI works. (a) False (b) True
  33. 33.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  34. 34.Which of these is good for training a model? (a) photos in many lights (b) copies of one photo (c) wrong labels (d) only one kind of example
  35. 35.True or false: “try the sum on paper” is NOT a real way to check an AI answer. (a) True (b) False
  36. 36.True or false: “skip testing” adds to bias. (a) False (b) True
  37. 37.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  38. 38.Which of these is a fact about AI? (a) AI knows everything (b) AI copies data patterns (c) AI is never wrong (d) AI always checks facts
  39. 39.🎨 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
  40. 40.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recommending (b) predicting (c) recognising (d) generating

Answer key

  1. an image
  2. the learned patterns
  3. testing on training data
  4. True
  5. False
  6. it may get it wrong
  7. a fact
  8. naming a new leaf
  9. True
  10. not a real check
  11. False
  12. correct labels
  13. True
  14. True
  15. training data
  16. gives a likely answer
  17. test on one group only
  18. learns from examples
  19. creating a cartoon
  20. True
  21. correct labels
  22. no, check it anyway
  23. AI learns from data
  24. a prediction
  25. True
  26. video suggestions
  27. False
  28. False
  29. no
  30. a prediction
  31. False
  32. False
  33. True
  34. photos in many lights
  35. False
  36. True
  37. True
  38. AI copies data patterns
  39. text
  40. recommending

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