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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 329 · 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: “wrong labels” is bad for training a model. (a) False (b) True
  2. 2.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
  3. 3.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
  4. 4.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recognising (b) predicting (c) recommending (d) generating
  5. 5.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
  6. 6.True or false: “AI is never wrong” is a fact about AI. (a) True (b) False
  7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  8. 8.True or false: “a logo idea for the eco club” asks for music or sound. (a) True (b) False
  9. 9.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
  10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  11. 11.Which of these describes how a normal program works? (a) makes a best guess (b) improves with more data (c) gives a likely answer (d) uses rules people wrote
  12. 12.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
  13. 13.True or false: “asking the same AI again” is a real way to check an AI answer. (a) True (b) False
  14. 14.True or false: “a drum beat for a dance” asks for music or sound. (a) False (b) True
  15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
  16. 16.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  17. 17.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) use one group only (d) ask different people
  18. 18.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI is never wrong (c) long answers are true (d) confident means correct
  19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
  20. 20.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can mix up numbers (c) AI can make up facts (d) AI has real feelings
  21. 21.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
  22. 22.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
  23. 23.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
  24. 24.🔍 Which is the odd one out? (a) photos grouped by face (b) a digital watch (c) a map predicting traffic (d) a voice assistant
  25. 25.Which of these is bad for training a model? (a) new data for testing (b) many varied examples (c) photos in many lights (d) labels added at random
  26. 26.🔍 Which is the odd one out? (a) predicting rain (b) creating a cartoon (c) sorting photos by face (d) unlocking with a face
  27. 27.True or false: “what training builds” is a prediction. (a) True (b) False
  28. 28.True or false: “the trained program” is the model. (a) False (b) True
  29. 29.True or false: “match it to the textbook” is a real way to check an AI answer. (a) False (b) True
  30. 30.✨ Generative or not: sorting photos by face? (a) makes something new (b) sorts or predicts
  31. 31.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
  32. 32.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) generating (b) predicting (c) recognising (d) recommending
  33. 33.True or false: “a poster of a rainforest” asks for music or sound. (a) True (b) False
  34. 34.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
  35. 35.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) sorting photos by face (c) creating a cartoon (d) writing a new poem
  36. 36.True or false: “a summary of chapter 3” asks for an image. (a) True (b) False
  37. 37.True or false: recognising a bird from its song only needs a simple fixed rule. (a) False (b) True
  38. 38.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) music or sound (c) an image
  39. 39.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) very few examples (d) many varied examples
  40. 40.Which of these is good for training a model? (a) blurry, unclear photos (b) very few examples (c) copies of one photo (d) checking labels twice

Answer key

  1. True
  2. False
  3. a fact
  4. predicting
  5. few child voices in data
  6. False
  7. the model
  8. False
  9. a real check
  10. a prediction
  11. uses rules people wrote
  12. its training data
  13. False
  14. True
  15. spam
  16. what training builds
  17. ask different people
  18. AI can mix up numbers
  19. not spam
  20. AI has real feelings
  21. False
  22. a prediction
  23. True
  24. a digital watch
  25. labels added at random
  26. creating a cartoon
  27. False
  28. True
  29. True
  30. sorts or predicts
  31. good for training
  32. generating
  33. False
  34. False
  35. sorting photos by face
  36. False
  37. False
  38. an image
  39. many varied examples
  40. checking labels twice

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