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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 112 · 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: “AI can be wrong” is a fact about AI. (a) False (b) True
  2. 2.🔍 Which is the odd one out? (a) new data for testing (b) only one kind of example (c) correct labels (d) examples of every type
  3. 3.🤖 What does AI stand for? (a) artificial intelligence (b) app installer (c) automatic internet (d) actual information
  4. 4.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  5. 5.Which of these is generative AI (it makes something new)? (a) predicting rain (b) sorting photos by face (c) unlocking with a face (d) composing a new tune
  6. 6.Which of these is good for training a model? (a) only one kind of example (b) wrong labels (c) labels added at random (d) correct labels
  7. 7.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
  8. 8.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
  9. 9.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  10. 10.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) False (b) True
  11. 11.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) copy old unfair choices (d) test on many groups
  12. 12.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  13. 13.True or false: “a drum beat for a dance” asks for an image. (a) True (b) False
  14. 14.🔍 Which is the odd one out? (a) AI has real feelings (b) AI can make up facts (c) AI knows everything (d) confident means correct
  15. 15.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) ask different people (d) add more of the same
  16. 16.Which of these describes how a normal program works? (a) makes a best guess (b) follows fixed rules (c) handles unseen examples (d) learns from examples
  17. 17.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
  18. 18.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
  19. 19.🎨 An image generator makes a picture from… (a) a text description (b) your password (c) a phone number (d) the weather
  20. 20.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) text (b) music or sound (c) an image
  21. 21.📱 What is the AI doing here: turning your spoken words into typed text? (a) generating (b) recommending (c) predicting (d) recognising
  22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  23. 23.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
  24. 24.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) the learned patterns (d) old emails marked spam
  25. 25.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) slower to switch on (d) change colour
  26. 26.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
  27. 27.🔍 Which is the odd one out? (a) AI is never wrong (b) AI has real feelings (c) AI knows everything (d) AI can be wrong
  28. 28.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
  30. 30.🔍 Which is the odd one out? (a) checking labels twice (b) correct labels (c) new data for testing (d) testing on training data
  31. 31.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
  32. 32.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
  33. 33.Which of these is a fact about AI? (a) long answers are true (b) AI has real feelings (c) confident means correct (d) AI can mix up numbers
  34. 34.True or false: “AI can mix up numbers” is a fact about AI. (a) True (b) False
  35. 35.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
  36. 36.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) False (b) True
  37. 37.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it uses electricity (c) it learns from examples (d) it is always right
  38. 38.🧮 Which of these is NOT AI? (a) a spam filter (b) face unlock (c) voice typing (d) a basic calculator
  39. 39.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) test on many groups (d) ask different people
  40. 40.🔮 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

Answer key

  1. True
  2. only one kind of example
  3. artificial intelligence
  4. adds to bias
  5. composing a new tune
  6. correct labels
  7. good for training
  8. False
  9. AI
  10. True
  11. test on many groups
  12. a fact
  13. False
  14. AI can make up facts
  15. ask different people
  16. follows fixed rules
  17. a real check
  18. a myth
  19. a text description
  20. an image
  21. recognising
  22. training data
  23. a fact
  24. naming a new leaf
  25. better at its task
  26. no
  27. AI can be wrong
  28. a normal program
  29. training data
  30. testing on training data
  31. needs AI (learning)
  32. False
  33. AI can mix up numbers
  34. True
  35. a real check
  36. False
  37. it learns from examples
  38. a basic calculator
  39. add more of the same
  40. a prediction

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