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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 485 · 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 is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the price (d) the right answer tag
  2. 2.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) stop studying (c) share it online (d) trust the AI
  3. 3.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  4. 4.🔍 Which is the odd one out? (a) examples of every type (b) clear, sharp examples (c) new data for testing (d) copies of one photo
  5. 5.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a summary (c) a password (d) a backup
  6. 6.Which of these describes how AI works? (a) follows fixed rules (b) uses rules people wrote (c) never learns from data (d) gives a likely answer
  7. 7.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  8. 8.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it may get it wrong (d) it will turn yellow
  9. 9.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  10. 10.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
  11. 11.📱 What is the AI doing here: a keyboard guessing your next word? (a) generating (b) recommending (c) recognising (d) predicting
  12. 12.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) the learned patterns (d) the trained program
  13. 13.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) fix wrong labels (d) test on many groups
  14. 14.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) check it on paper (c) never do maths (d) ask it to hurry
  15. 15.🔍 Which is the odd one out? (a) only one kind of example (b) very few examples (c) checking labels twice (d) labels added at random
  16. 16.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
  17. 17.🔍 Which is the odd one out? (a) wrong labels (b) testing on training data (c) clear, sharp examples (d) labels added at random
  18. 18.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
  19. 19.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
  20. 20.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  21. 21.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) predicting (c) recommending (d) recognising
  22. 22.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) clean screens (d) learn from data
  23. 23.True or false: “a story about a brave ant” asks for music or sound. (a) True (b) False
  24. 24.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) the trained program (d) old emails marked spam
  25. 25.🔍 Which is the odd one out? (a) sorting photos by face (b) unlocking with a face (c) spotting spam (d) writing a new poem
  26. 26.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
  27. 27.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) writing quiz questions (c) making up a story (d) suggesting a video
  28. 28.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) test on one group only (d) fix wrong labels
  29. 29.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
  30. 30.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) writing a new poem (c) drafting a letter (d) turning speech to text
  31. 31.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
  32. 32.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
  33. 33.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
  34. 34.True or false: “a cartoon of a dancing elephant” asks for an image. (a) False (b) True
  35. 35.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) drawing a new picture (c) unlocking with a face (d) predicting rain
  36. 36.✍️ How does an AI chatbot write its replies? (a) uses magic (b) copies one website (c) predicts likely words (d) asks a person
  37. 37.Which of these helps reduce bias? (a) copy old unfair choices (b) add varied examples (c) add more of the same (d) test on one group only
  38. 38.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) test on many groups (d) check who is missing
  39. 39.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
  40. 40.True or false: “it answered quickly” is a real way to check an AI answer. (a) True (b) False

Answer key

  1. the right answer tag
  2. trust the textbook
  3. AI
  4. copies of one photo
  5. a hallucination
  6. gives a likely answer
  7. AI
  8. it may get it wrong
  9. False
  10. True
  11. predicting
  12. past weather records
  13. ignore complaints
  14. check it on paper
  15. checking labels twice
  16. it learns patterns
  17. clear, sharp examples
  18. a fact
  19. bad for training
  20. good for training
  21. predicting
  22. learn from data
  23. False
  24. old emails marked spam
  25. writing a new poem
  26. False
  27. suggesting a video
  28. fix wrong labels
  29. old emails marked spam
  30. turning speech to text
  31. past weather records
  32. bad for training
  33. True
  34. True
  35. drawing a new picture
  36. predicts likely words
  37. add varied examples
  38. use one group only
  39. a fact
  40. False

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