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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 948 · 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: an image generator? (a) uses AI (b) not AI
  2. 2.True or false: “naming a new leaf” is training data. (a) True (b) False
  3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
  4. 4.Which of these is a myth about AI? (a) AI has real feelings (b) AI learns from data (c) AI can be wrong (d) AI can make up facts
  5. 5.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) the trained program (d) old emails marked spam
  6. 6.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  7. 7.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  8. 8.🔍 Which is the odd one out? (a) copies of one photo (b) labels added at random (c) only one kind of example (d) checking labels twice
  9. 9.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
  10. 10.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) old emails marked spam (d) the learned patterns
  11. 11.🔍 Which is the odd one out? (a) unlocking with a face (b) suggesting a video (c) spotting spam (d) creating a cartoon
  12. 12.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) photos grouped by face (c) a microwave timer (d) a digital watch
  13. 13.True or false: “photos in many lights” is good for training a model. (a) False (b) True
  14. 14.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
  15. 15.True or false: “gives a likely answer” describes how AI works. (a) True (b) False
  16. 16.True or false: a book app suggesting a story like your last one is AI generating something new. (a) False (b) True
  17. 17.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  18. 18.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  19. 19.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) drafting a letter (c) spotting spam (d) sorting photos by face
  20. 20.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
  21. 21.True or false: “the learned patterns” is the model. (a) True (b) False
  22. 22.🔍 Which is the odd one out? (a) AI can make up facts (b) AI always checks facts (c) AI knows everything (d) confident means correct
  23. 23.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  24. 24.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  25. 25.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) people (d) nobody at all
  26. 26.Which of these is generative AI (it makes something new)? (a) making up a story (b) suggesting a video (c) spotting spam (d) sorting photos by face
  27. 27.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
  28. 28.🔍 Which is the odd one out? (a) wrong labels (b) only one kind of example (c) many varied examples (d) blurry, unclear photos
  29. 29.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  30. 30.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) check who is missing (d) test on many groups
  31. 31.🤖 What does AI stand for? (a) actual information (b) artificial intelligence (c) automatic internet (d) app installer
  32. 32.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
  33. 33.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  34. 34.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
  35. 35.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) recommending (c) printing (d) cooking
  36. 36.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
  37. 37.✅ Is this a real check of an AI answer: asking the same AI again? (a) a real check (b) not a real check
  38. 38.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) True (b) False
  39. 39.True or false: “skip testing” adds to bias. (a) True (b) False
  40. 40.Which of these is not AI? (a) an AI chatbot (b) a stopwatch (c) an app translating signs (d) an image generator

Answer key

  1. uses AI
  2. False
  3. spam
  4. AI has real feelings
  5. the trained program
  6. training data
  7. AI
  8. checking labels twice
  9. the model
  10. old emails marked spam
  11. creating a cartoon
  12. photos grouped by face
  13. True
  14. a fact
  15. True
  16. False
  17. AI
  18. what training builds
  19. drafting a letter
  20. a normal program
  21. True
  22. AI can make up facts
  23. a normal program
  24. a prediction
  25. people
  26. making up a story
  27. a myth
  28. many varied examples
  29. one-sided data
  30. copy old unfair choices
  31. artificial intelligence
  32. False
  33. the model
  34. to see if it works
  35. recommending
  36. makes something new
  37. not a real check
  38. False
  39. True
  40. a stopwatch

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