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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 603 · 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 happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
  2. 2.✍️ How does an AI chatbot write its replies? (a) uses magic (b) asks a person (c) copies one website (d) predicts likely words
  3. 3.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  4. 4.Which of these is a myth about AI? (a) AI answers need checking (b) AI can be wrong (c) AI is never wrong (d) AI can make up facts
  5. 5.True or false: “AI learns from data” is a fact about AI. (a) True (b) False
  6. 6.🔍 Which is the odd one out? (a) drafting a letter (b) writing quiz questions (c) making up a story (d) spotting a sick leaf
  7. 7.True or false: finding 10% of a price needs AI that learns from examples. (a) True (b) False
  8. 8.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
  9. 9.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) guess (c) look in your textbook (d) ask it to repeat
  10. 10.Which of these adds to bias? (a) fix wrong labels (b) test on one group only (c) test on many groups (d) add varied examples
  11. 11.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  12. 12.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) labelled fruit photos (d) naming a new fruit photo
  13. 13.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
  14. 14.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  15. 15.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
  16. 16.Which of these is the model? (a) typing a new spoken word (b) old emails marked spam (c) naming a new leaf (d) the learned patterns
  17. 17.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) one single photo (c) a list of rules only (d) many labelled photos
  18. 18.True or false: “AI can be wrong” is a fact about AI. (a) True (b) False
  19. 19.🤖 What does AI stand for? (a) artificial intelligence (b) automatic internet (c) actual information (d) app installer
  20. 20.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) True (b) False
  21. 21.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
  22. 22.Which of these describes how AI works? (a) follows fixed rules (b) same steps every time (c) does exactly as coded (d) spots patterns in data
  23. 23.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it is always right (c) it has a screen (d) it learns from examples
  24. 24.True or false: “labels added at random” is good for training a model. (a) True (b) False
  25. 25.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) copy old unfair choices (d) ignore complaints
  26. 26.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
  27. 27.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
  28. 28.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  29. 29.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI always checks facts (c) AI can mix up numbers (d) AI can make up facts
  30. 30.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  31. 31.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
  32. 32.Which of these is a fact about AI? (a) long answers are true (b) AI has real feelings (c) AI answers need checking (d) AI is never wrong
  33. 33.Which of these describes how AI works? (a) improves with more data (b) same steps every time (c) uses rules people wrote (d) one set rule per case
  34. 34.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  35. 35.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  36. 36.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
  37. 37.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
  38. 38.True or false: “makes a best guess” describes how AI works. (a) False (b) True
  39. 39.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) text (b) an image (c) music or sound
  40. 40.🎨 An image generator makes a picture from… (a) a text description (b) the weather (c) your password (d) a phone number

Answer key

  1. it learns patterns
  2. predicts likely words
  3. a fact
  4. AI is never wrong
  5. True
  6. spotting a sick leaf
  7. False
  8. to see if it works
  9. look in your textbook
  10. test on one group only
  11. one-sided data
  12. labelled fruit photos
  13. makes something new
  14. False
  15. bad for training
  16. the learned patterns
  17. many labelled photos
  18. True
  19. artificial intelligence
  20. True
  21. a normal program
  22. spots patterns in data
  23. it learns from examples
  24. False
  25. add varied examples
  26. a real check
  27. data, model, prediction
  28. labelled fruit photos
  29. AI always checks facts
  30. False
  31. AI
  32. AI answers need checking
  33. improves with more data
  34. one-sided data
  35. True
  36. a fact
  37. makes something new
  38. True
  39. an image
  40. a text description

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