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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 935 · 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.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  2. 2.Which of these describes how AI works? (a) spots patterns in data (b) does exactly as coded (c) uses rules people wrote (d) follows fixed rules
  3. 3.True or false: “it answered quickly” is a real way to check an AI answer. (a) False (b) True
  4. 4.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) past weather records (d) recorded spoken words
  5. 5.Which of these describes how AI works? (a) uses rules people wrote (b) does exactly as coded (c) follows fixed rules (d) learns from examples
  6. 6.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) True (b) False
  7. 7.True or false: “very few examples” is good for training a model. (a) True (b) False
  8. 8.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
  9. 9.🔍 Which is the odd one out? (a) new data for testing (b) checking labels twice (c) many varied examples (d) labels added at random
  10. 10.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
  11. 11.Which of these is good for training a model? (a) labels added at random (b) examples of every type (c) very few examples (d) testing on training data
  12. 12.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
  13. 13.🔍 Which is the odd one out? (a) spotting spam (b) reading number plates (c) writing a new poem (d) predicting rain
  14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
  15. 15.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
  16. 16.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
  17. 17.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
  18. 18.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
  19. 19.True or false: “very few examples” is bad for training a model. (a) False (b) True
  20. 20.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
  21. 21.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) generating (b) recognising (c) predicting (d) recommending
  22. 22.True or false: “it uses big words” is a real way to check an AI answer. (a) False (b) True
  23. 23.🔍 Which is the odd one out? (a) AI always checks facts (b) AI knows everything (c) AI answers need checking (d) AI is never wrong
  24. 24.True or false: finding 10% of a price needs AI that learns from examples. (a) False (b) True
  25. 25.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
  26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
  27. 27.🔍 Which is the odd one out? (a) turning speech to text (b) making up a story (c) suggesting a video (d) predicting rain
  28. 28.🔍 Which is the odd one out? (a) only one kind of example (b) checking labels twice (c) clear, sharp examples (d) many varied examples
  29. 29.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
  30. 30.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
  31. 31.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  32. 32.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
  33. 33.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  34. 34.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
  35. 35.Which of these describes how AI works? (a) improves with more data (b) one set rule per case (c) does exactly as coded (d) follows fixed rules
  36. 36.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
  37. 37.True or false: a book app suggesting a story like your last one is AI predicting something. (a) True (b) False
  38. 38.Which of these is not AI? (a) face unlock on a phone (b) an app translating signs (c) photos grouped by face (d) a stopwatch
  39. 39.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
  40. 40.True or false: “recorded spoken words” is training data. (a) False (b) True

Answer key

  1. training data
  2. spots patterns in data
  3. False
  4. naming a new leaf
  5. learns from examples
  6. True
  7. False
  8. uses AI
  9. labels added at random
  10. sorts or predicts
  11. examples of every type
  12. a real check
  13. writing a new poem
  14. spam
  15. training data
  16. True
  17. a normal program
  18. good for training
  19. True
  20. True
  21. generating
  22. False
  23. AI answers need checking
  24. False
  25. needs AI (learning)
  26. spam
  27. making up a story
  28. only one kind of example
  29. False
  30. a real check
  31. the trained program
  32. good for training
  33. True
  34. not a real check
  35. improves with more data
  36. a simple rule is enough
  37. False
  38. a stopwatch
  39. makes something new
  40. True

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