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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 729 · 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.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  2. 2.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  3. 3.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
  4. 4.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  5. 5.True or false: “AI can be wrong” is a fact about AI. (a) False (b) True
  6. 6.True or false: “gives a likely answer” describes how AI works. (a) False (b) True
  7. 7.Which of these describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) one set rule per case (d) gives a likely answer
  8. 8.🔍 Which is the odd one out? (a) sorting photos by face (b) spotting a sick leaf (c) writing a new poem (d) suggesting a video
  9. 9.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  10. 10.🔍 Which is the odd one out? (a) AI answers need checking (b) AI always checks facts (c) AI copies data patterns (d) AI can make up facts
  11. 11.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  12. 12.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  13. 13.True or false: “a logo idea for the eco club” asks for music or sound. (a) False (b) True
  14. 14.🔍 Which is the odd one out? (a) AI always checks facts (b) AI has real feelings (c) AI learns from data (d) AI is never wrong
  15. 15.Which of these is the model? (a) what training builds (b) flagging a new email (c) naming a new fruit photo (d) old emails marked spam
  16. 16.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) artificial intelligence (d) app installer
  17. 17.Which of these is good for training a model? (a) blurry, unclear photos (b) very few examples (c) wrong labels (d) examples of every type
  18. 18.🔍 Which is the odd one out? (a) AI is never wrong (b) AI always checks facts (c) long answers are true (d) AI can mix up numbers
  19. 19.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) music or sound (b) text (c) an image
  20. 20.True or false: “labels added at random” is bad for training a model. (a) False (b) True
  21. 21.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  22. 22.Which of these uses AI? (a) a microwave timer (b) an AI chatbot (c) a calculator (d) a stopwatch
  23. 23.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
  24. 24.🛠️ Which does this job need: spotting spam emails by their patterns? (a) needs AI (learning) (b) a simple rule is enough
  25. 25.True or false: “same steps every time” describes how AI works. (a) True (b) False
  26. 26.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
  27. 27.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  28. 28.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
  29. 29.Which of these is the model? (a) flagging a new email (b) the trained program (c) 500 labelled leaf photos (d) typing a new spoken word
  30. 30.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
  31. 31.True or false: “see if the book exists” is a real way to check an AI answer. (a) False (b) True
  32. 32.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
  33. 33.🏠 AI or not AI: an AI chatbot? (a) uses AI (b) not AI
  34. 34.Which of these describes how a normal program works? (a) handles unseen examples (b) gives a likely answer (c) same steps every time (d) makes a best guess
  35. 35.True or false: “a logo idea for the eco club” asks for an image. (a) True (b) False
  36. 36.True or false: “long answers are true” is a myth about AI. (a) True (b) False
  37. 37.True or false: an AI tool making a brand-new tune is AI generating something new. (a) False (b) True
  38. 38.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  39. 39.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
  40. 40.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program

Answer key

  1. AI
  2. reduces bias
  3. good for training
  4. makes something new
  5. True
  6. True
  7. one set rule per case
  8. writing a new poem
  9. AI
  10. AI always checks facts
  11. one-sided data
  12. False
  13. False
  14. AI learns from data
  15. what training builds
  16. artificial intelligence
  17. examples of every type
  18. AI can mix up numbers
  19. an image
  20. True
  21. reduces bias
  22. an AI chatbot
  23. needs AI (learning)
  24. needs AI (learning)
  25. False
  26. more varied data
  27. the learned patterns
  28. good for training
  29. the trained program
  30. bad for training
  31. True
  32. makes something new
  33. uses AI
  34. same steps every time
  35. True
  36. True
  37. True
  38. a real check
  39. data, model, prediction
  40. a normal program

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