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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 18 · 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.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  3. 3.True or false: “AI always checks facts” is a myth about AI. (a) True (b) False
  4. 4.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
  5. 5.Which of these is bad for training a model? (a) photos in many lights (b) new data for testing (c) labels added at random (d) correct labels
  6. 6.Which of these describes how a normal program works? (a) learns from examples (b) gives a likely answer (c) spots patterns in data (d) does exactly as coded
  7. 7.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  8. 8.Which of these is a fact about AI? (a) AI always checks facts (b) AI can mix up numbers (c) AI knows everything (d) long answers are true
  9. 9.🤖 What does AI stand for? (a) app installer (b) artificial intelligence (c) automatic internet (d) actual information
  10. 10.Which of these is bad for training a model? (a) new data for testing (b) clear, sharp examples (c) many varied examples (d) very few examples
  11. 11.📅 An AI gives a date for a history event. How can you check? (a) guess (b) ask it to repeat (c) pick a lucky number (d) look in your textbook
  12. 12.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
  13. 13.True or false: “skip testing” helps reduce bias. (a) True (b) False
  14. 14.True or false: “uses rules people wrote” describes how a normal program works. (a) False (b) True
  15. 15.True or false: “AI always checks facts” is a fact about AI. (a) False (b) True
  16. 16.True or false: “uses rules people wrote” describes how AI works. (a) True (b) False
  17. 17.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  18. 18.Which of these is a fact about AI? (a) AI can be wrong (b) confident means correct (c) AI always checks facts (d) AI knows everything
  19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  20. 20.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
  21. 21.True or false: “learns from examples” describes how a normal program works. (a) False (b) True
  22. 22.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) naming a new leaf (d) labelled fruit photos
  23. 23.🔍 Which is the odd one out? (a) AI knows everything (b) confident means correct (c) AI always checks facts (d) AI answers need checking
  24. 24.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) predicting (b) generating (c) recognising (d) recommending
  25. 25.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) drafting a letter (c) creating a cartoon (d) reading number plates
  26. 26.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) add varied examples (d) ask different people
  27. 27.True or false: “a drawing of a cat on the Moon” asks for music or sound. (a) False (b) True
  28. 28.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
  29. 29.📱 What is the AI doing here: an online shop showing “you may also like”? (a) predicting (b) generating (c) recognising (d) recommending
  30. 30.True or false: “photos in many lights” is good for training a model. (a) True (b) False
  31. 31.True or false: “add varied examples” adds to bias. (a) True (b) False
  32. 32.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a summary (c) a password (d) a hallucination
  33. 33.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) False (b) True
  34. 34.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
  35. 35.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
  36. 36.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
  37. 37.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
  38. 38.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
  39. 39.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  40. 40.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) writing a new poem (c) inventing a recipe (d) spotting a sick leaf

Answer key

  1. True
  2. training data
  3. True
  4. needs AI (learning)
  5. labels added at random
  6. does exactly as coded
  7. what training builds
  8. AI can mix up numbers
  9. artificial intelligence
  10. very few examples
  11. look in your textbook
  12. sorts or predicts
  13. False
  14. True
  15. False
  16. False
  17. adds to bias
  18. AI can be wrong
  19. the model
  20. spam
  21. False
  22. naming a new leaf
  23. AI answers need checking
  24. recommending
  25. reading number plates
  26. skip testing
  27. False
  28. False
  29. recommending
  30. True
  31. False
  32. a hallucination
  33. False
  34. not AI
  35. True
  36. a real check
  37. a normal program
  38. a fact
  39. makes something new
  40. spotting a sick leaf

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