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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 779 · 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.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
  2. 2.Which of these is generative AI (it makes something new)? (a) spotting spam (b) drafting a letter (c) suggesting a video (d) reading number plates
  3. 3.Which of these is training data? (a) what training builds (b) old emails marked spam (c) tomorrow’s rain guess (d) the trained program
  4. 4.True or false: “same steps every time” describes how a normal program works. (a) True (b) False
  5. 5.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  6. 6.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  7. 7.Which of these describes how a normal program works? (a) improves with more data (b) handles unseen examples (c) uses rules people wrote (d) makes a best guess
  8. 8.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
  9. 9.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  10. 10.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  11. 11.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) slower to switch on (d) forget everything
  12. 12.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  13. 13.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) test on many groups (d) balance the data
  14. 14.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI can be wrong (c) AI knows everything (d) AI learns from data
  15. 15.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) sorting photos by face (c) unlocking with a face (d) writing quiz questions
  16. 16.🏠 AI or not AI: a doorbell? (a) uses AI (b) not AI
  17. 17.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
  18. 18.Which of these is the model? (a) old emails marked spam (b) naming a new leaf (c) what training builds (d) past weather records
  19. 19.True or false: turning your spoken words into typed text is AI recognising something. (a) True (b) False
  20. 20.True or false: “old emails marked spam” is training data. (a) False (b) True
  21. 21.Which of these is the model? (a) the trained program (b) labelled fruit photos (c) flagging a new email (d) 500 labelled leaf photos
  22. 22.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) skip testing (d) balance the data
  23. 23.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
  24. 24.✨ What does generative AI do? (a) only stores files (b) makes new content (c) charges batteries (d) only adds numbers
  25. 25.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will shut down (c) it will turn yellow (d) it will be perfect
  26. 26.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a broken screen (d) a fair model
  27. 27.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) text (c) music or sound
  28. 28.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  29. 29.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  30. 30.🤖 What does AI stand for? (a) artificial intelligence (b) app installer (c) automatic internet (d) actual information
  31. 31.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  32. 32.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
  33. 33.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
  34. 34.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) unlocking with a face (c) making up a story (d) spotting spam
  35. 35.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
  36. 36.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
  37. 37.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) generating (b) predicting (c) recommending (d) recognising
  38. 38.🎨 An image generator makes a picture from… (a) a text description (b) a phone number (c) the weather (d) your password
  39. 39.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) yes, it can think (d) no, it follows rules
  40. 40.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) sleeping (c) singing (d) predicting

Answer key

  1. not AI
  2. drafting a letter
  3. old emails marked spam
  4. True
  5. AI
  6. past weather records
  7. uses rules people wrote
  8. old emails marked spam
  9. labelled fruit photos
  10. False
  11. better at its task
  12. the model
  13. copy old unfair choices
  14. AI knows everything
  15. writing quiz questions
  16. not AI
  17. False
  18. what training builds
  19. True
  20. True
  21. the trained program
  22. skip testing
  23. bad for training
  24. makes new content
  25. it may get it wrong
  26. bias from data
  27. music or sound
  28. True
  29. AI
  30. artificial intelligence
  31. False
  32. uses AI
  33. it learns patterns
  34. making up a story
  35. sorts or predicts
  36. sorts or predicts
  37. generating
  38. a text description
  39. no, it follows rules
  40. predicting

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