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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 412 · 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.True or false: “ask different people” helps reduce bias. (a) False (b) True
  2. 2.Which of these describes how a normal program works? (a) one set rule per case (b) learns from examples (c) gives a likely answer (d) improves with more data
  3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
  5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  6. 6.Which of these adds to bias? (a) add more of the same (b) balance the data (c) fix wrong labels (d) check who is missing
  7. 7.Which of these is good for training a model? (a) labels added at random (b) copies of one photo (c) very few examples (d) clear, sharp examples
  8. 8.🎨 An image generator makes a picture from… (a) a text description (b) your password (c) a phone number (d) the weather
  9. 9.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
  10. 10.🔍 Which is the odd one out? (a) AI has real feelings (b) AI learns from data (c) AI is never wrong (d) long answers are true
  11. 11.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
  12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
  13. 13.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  14. 14.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  15. 15.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
  16. 16.Which of these is a myth about AI? (a) AI always checks facts (b) AI learns from data (c) AI answers need checking (d) AI copies data patterns
  17. 17.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  18. 18.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
  19. 19.True or false: “a cheerful tune for Sports Day” asks for music or sound. (a) False (b) True
  20. 20.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) balance the data (d) add varied examples
  21. 21.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
  22. 22.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recommending (b) recognising (c) predicting (d) generating
  23. 23.🎨 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
  24. 24.🔍 Which is the odd one out? (a) new data for testing (b) photos in many lights (c) clear, sharp examples (d) very few examples
  25. 25.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) recommending (c) recognising (d) predicting
  26. 26.🔍 Which is the odd one out? (a) spotting spam (b) writing a new poem (c) spotting a sick leaf (d) sorting photos by face
  27. 27.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
  28. 28.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
  29. 29.True or false: recognising a bird from its song only needs a simple fixed rule. (a) False (b) True
  30. 30.True or false: “AI always checks facts” is a fact about AI. (a) False (b) True
  31. 31.True or false: “follows fixed rules” describes how AI works. (a) False (b) True
  32. 32.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  33. 33.🏷️ 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
  34. 34.🔍 Which is the odd one out? (a) turning speech to text (b) unlocking with a face (c) spotting spam (d) inventing a recipe
  35. 35.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) music or sound (b) an image (c) text
  36. 36.True or false: “new data for testing” is bad for training a model. (a) True (b) False
  37. 37.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  38. 38.True or false: “photos in many lights” is good for training a model. (a) True (b) False
  39. 39.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
  40. 40.True or false: “correct labels” is good for training a model. (a) True (b) False

Answer key

  1. True
  2. one set rule per case
  3. the model
  4. spam
  5. a prediction
  6. add more of the same
  7. clear, sharp examples
  8. a text description
  9. False
  10. AI learns from data
  11. good for training
  12. a prediction
  13. True
  14. True
  15. a normal program
  16. AI always checks facts
  17. a fact
  18. True
  19. True
  20. ignore complaints
  21. a normal program
  22. predicting
  23. text
  24. very few examples
  25. predicting
  26. writing a new poem
  27. True
  28. False
  29. False
  30. False
  31. False
  32. a prediction
  33. not spam
  34. inventing a recipe
  35. music or sound
  36. False
  37. False
  38. True
  39. not AI
  40. True

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