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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 854 · 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 “follows fixed rules”? (a) a normal program (b) AI
  2. 2.True or false: “AI is never wrong” is a myth about AI. (a) True (b) False
  3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  4. 4.Which of these describes how a normal program works? (a) does exactly as coded (b) gives a likely answer (c) learns from examples (d) makes a best guess
  5. 5.Which of these is the model? (a) past weather records (b) labelled fruit photos (c) what training builds (d) 500 labelled leaf photos
  6. 6.True or false: “does exactly as coded” describes how AI works. (a) False (b) True
  7. 7.Which of these describes how AI works? (a) uses rules people wrote (b) never learns from data (c) learns from examples (d) does exactly as coded
  8. 8.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  9. 9.True or false: “uses rules people wrote” describes how AI works. (a) True (b) False
  10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
  11. 11.🔍 Which is the odd one out? (a) examples of every type (b) wrong labels (c) photos in many lights (d) many varied examples
  12. 12.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  13. 13.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
  14. 14.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
  15. 15.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) reading number plates (c) drawing a new picture (d) turning speech to text
  16. 16.🤖 Who builds and trains AI systems? (a) the weather (b) nobody at all (c) people (d) the Moon
  17. 17.Which of these is not AI? (a) a voice assistant (b) a map predicting traffic (c) a microwave timer (d) video suggestions
  18. 18.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
  19. 19.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
  20. 20.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  21. 21.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
  22. 22.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
  23. 23.True or false: “new data for testing” is good for training a model. (a) True (b) False
  24. 24.Which of these uses AI? (a) a torch (b) face unlock on a phone (c) a microwave timer (d) a light switch
  25. 25.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
  26. 26.Which of these describes how AI works? (a) same steps every time (b) handles unseen examples (c) follows fixed rules (d) does exactly as coded
  27. 27.Which of these helps reduce bias? (a) ignore complaints (b) fix wrong labels (c) copy old unfair choices (d) add more of the same
  28. 28.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
  29. 29.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) music or sound (b) an image (c) text
  30. 30.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) a song about dogs (d) one single photo
  31. 31.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  32. 32.🛠️ Which does this job need: sorting names in A to Z order? (a) a simple rule is enough (b) needs AI (learning)
  33. 33.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  34. 34.🔍 Which is the odd one out? (a) a spam filter (b) a digital watch (c) photos grouped by face (d) video suggestions
  35. 35.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) an image (c) text
  36. 36.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
  37. 37.True or false: “labelled fruit photos” is training data. (a) False (b) True
  38. 38.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  39. 39.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
  40. 40.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction

Answer key

  1. a normal program
  2. True
  3. training data
  4. does exactly as coded
  5. what training builds
  6. False
  7. learns from examples
  8. AI
  9. False
  10. spam
  11. wrong labels
  12. False
  13. a normal program
  14. good for training
  15. drawing a new picture
  16. people
  17. a microwave timer
  18. not AI
  19. a real check
  20. False
  21. good for training
  22. uses AI
  23. True
  24. face unlock on a phone
  25. no, it can be wrong
  26. handles unseen examples
  27. fix wrong labels
  28. a myth
  29. music or sound
  30. many labelled photos
  31. a prediction
  32. a simple rule is enough
  33. balanced data
  34. a digital watch
  35. text
  36. needs AI (learning)
  37. True
  38. makes something new
  39. needs AI (learning)
  40. data, model, prediction

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