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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 494 · 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 does AI stand for? (a) artificial intelligence (b) actual information (c) automatic internet (d) app installer
  2. 2.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) balance the data (d) ask different people
  3. 3.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
  4. 4.🏠 AI or not AI: a doorbell? (a) uses AI (b) not AI
  5. 5.Which of these is a myth about AI? (a) AI can make up facts (b) AI can mix up numbers (c) AI answers need checking (d) AI is never wrong
  6. 6.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
  7. 7.Which of these describes how a normal program works? (a) improves with more data (b) learns from examples (c) makes a best guess (d) same steps every time
  8. 8.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  9. 9.Which of these describes how AI works? (a) never learns from data (b) does exactly as coded (c) follows fixed rules (d) improves with more data
  10. 10.Which of these is bad for training a model? (a) checking labels twice (b) new data for testing (c) examples of every type (d) wrong labels
  11. 11.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) what training builds (d) 500 labelled leaf photos
  12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
  13. 13.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  14. 14.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
  15. 15.True or false: “a cheerful tune for Sports Day” asks for music or sound. (a) True (b) False
  16. 16.True or false: “a poster of a rainforest” asks for an image. (a) False (b) True
  17. 17.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  18. 18.🔍 Which is the odd one out? (a) checking labels twice (b) testing on training data (c) examples of every type (d) new data for testing
  19. 19.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  20. 20.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
  21. 21.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
  22. 22.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  23. 23.🔍 Which is the odd one out? (a) balance the data (b) add more of the same (c) check who is missing (d) add varied examples
  24. 24.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
  25. 25.🔍 Which is the odd one out? (a) copies of one photo (b) testing on training data (c) only one kind of example (d) many varied examples
  26. 26.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
  27. 27.True or false: “a drum beat for a dance” asks for an image. (a) True (b) False
  28. 28.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
  29. 29.🔍 Which is the odd one out? (a) predicting rain (b) drafting a letter (c) creating a cartoon (d) writing a new poem
  30. 30.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
  31. 31.🔍 Which is the odd one out? (a) blurry, unclear photos (b) copies of one photo (c) checking labels twice (d) very few examples
  32. 32.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  33. 33.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, it gets sad (c) yes, just like us (d) no, it finds patterns
  34. 34.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  35. 35.🔍 Which is the odd one out? (a) video suggestions (b) a calculator (c) a microwave timer (d) a stopwatch
  36. 36.True or false: “a story about a brave ant” asks for an image. (a) True (b) False
  37. 37.🔍 Which is the odd one out? (a) many varied examples (b) checking labels twice (c) labels added at random (d) photos in many lights
  38. 38.🏠 AI or not AI: a torch? (a) not AI (b) uses AI
  39. 39.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  40. 40.Which of these is the model? (a) the learned patterns (b) past weather records (c) typing a new spoken word (d) flagging a new email

Answer key

  1. artificial intelligence
  2. copy old unfair choices
  3. not a real check
  4. not AI
  5. AI is never wrong
  6. not AI
  7. same steps every time
  8. adds to bias
  9. improves with more data
  10. wrong labels
  11. tomorrow’s rain guess
  12. a prediction
  13. training data
  14. a fact
  15. True
  16. True
  17. one-sided data
  18. testing on training data
  19. AI
  20. sorts or predicts
  21. bad for training
  22. True
  23. add more of the same
  24. True
  25. many varied examples
  26. no, check it anyway
  27. False
  28. not a real check
  29. predicting rain
  30. True
  31. checking labels twice
  32. the learned patterns
  33. no, it finds patterns
  34. makes something new
  35. video suggestions
  36. False
  37. labels added at random
  38. not AI
  39. training data
  40. the learned patterns

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