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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 799 · 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: “follows fixed rules” describes how AI works. (a) True (b) False
  2. 2.Which of these is training data? (a) what training builds (b) the learned patterns (c) the trained program (d) 500 labelled leaf photos
  3. 3.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
  4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  5. 5.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
  6. 6.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  7. 7.Which of these is a fact about AI? (a) AI knows everything (b) AI can make up facts (c) AI is never wrong (d) AI has real feelings
  8. 8.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
  9. 9.📱 What is the AI doing here: a video app suggesting what to watch next? (a) generating (b) predicting (c) recognising (d) recommending
  10. 10.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
  11. 11.🔍 Which is the odd one out? (a) new data for testing (b) photos in many lights (c) many varied examples (d) wrong labels
  12. 12.True or false: “long answers are true” is a fact about AI. (a) True (b) False
  13. 13.True or false: “AI can be wrong” is a fact about AI. (a) False (b) True
  14. 14.True or false: “check who is missing” adds to bias. (a) True (b) False
  15. 15.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
  16. 16.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  17. 17.Which of these is a myth about AI? (a) AI learns from data (b) AI answers need checking (c) long answers are true (d) AI can make up facts
  18. 18.🏠 AI or not AI: a spam filter? (a) not AI (b) uses AI
  19. 19.True or false: “ask different people” helps reduce bias. (a) False (b) True
  20. 20.Which of these is the model? (a) 500 labelled leaf photos (b) the trained program (c) flagging a new email (d) naming a new fruit photo
  21. 21.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
  22. 22.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
  23. 23.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
  24. 24.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
  25. 25.Which of these describes how a normal program works? (a) handles unseen examples (b) spots patterns in data (c) makes a best guess (d) same steps every time
  26. 26.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  27. 27.True or false: “AI is never wrong” is a fact about AI. (a) True (b) False
  28. 28.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  29. 29.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
  30. 30.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) recognising (c) recommending (d) generating
  31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
  32. 32.🔍 Which is the odd one out? (a) writing a new poem (b) composing a new tune (c) spotting spam (d) creating a cartoon
  33. 33.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
  34. 34.True or false: “AI can mix up numbers” is a myth about AI. (a) False (b) True
  35. 35.🔍 Which is the odd one out? (a) copies of one photo (b) correct labels (c) many varied examples (d) new data for testing
  36. 36.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
  37. 37.True or false: “AI can be wrong” is a myth about AI. (a) True (b) False
  38. 38.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) writing a new poem (c) creating a cartoon (d) spotting spam
  39. 39.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a hallucination (c) a password (d) a summary
  40. 40.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI

Answer key

  1. False
  2. 500 labelled leaf photos
  3. uses AI
  4. a prediction
  5. not AI
  6. adds to bias
  7. AI can make up facts
  8. a normal program
  9. recommending
  10. old emails marked spam
  11. wrong labels
  12. False
  13. True
  14. False
  15. data, model, prediction
  16. True
  17. long answers are true
  18. uses AI
  19. True
  20. the trained program
  21. a simple rule is enough
  22. False
  23. AI
  24. not a real check
  25. same steps every time
  26. the model
  27. False
  28. the model
  29. True
  30. recognising
  31. a prediction
  32. spotting spam
  33. False
  34. False
  35. copies of one photo
  36. False
  37. False
  38. spotting spam
  39. a hallucination
  40. uses AI

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