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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 323 · 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.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its screen size (d) its training data
  2. 2.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
  3. 3.Which of these describes how AI works? (a) one set rule per case (b) same steps every time (c) follows fixed rules (d) learns from examples
  4. 4.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) text (b) music or sound (c) an image
  5. 5.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
  6. 6.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  7. 7.🔍 Which is the odd one out? (a) clear, sharp examples (b) photos in many lights (c) many varied examples (d) very few examples
  8. 8.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
  9. 9.True or false: “a picture of a castle made of mangoes” asks for music or sound. (a) True (b) False
  10. 10.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  11. 11.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
  12. 12.Which of these is bad for training a model? (a) correct labels (b) labels added at random (c) new data for testing (d) clear, sharp examples
  13. 13.🔍 Which is the odd one out? (a) drawing a new picture (b) spotting spam (c) drafting a letter (d) inventing a recipe
  14. 14.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) an image (b) music or sound (c) text
  15. 15.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) music or sound (b) text (c) an image
  16. 16.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) the weather (d) a text description
  17. 17.🔍 Which is the odd one out? (a) copies of one photo (b) clear, sharp examples (c) wrong labels (d) only one kind of example
  18. 18.True or false: an image generator drawing a robot from a sentence is AI recognising something. (a) False (b) True
  19. 19.🔍 Which is the odd one out? (a) a torch (b) a spam filter (c) video suggestions (d) photos grouped by face
  20. 20.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  21. 21.💬 What do we call the request you type to a generative AI? (a) a label (b) a prompt (c) a password (d) a battery
  22. 22.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  23. 23.🔍 Which is the odd one out? (a) a fan regulator (b) photos grouped by face (c) a microwave timer (d) a stopwatch
  24. 24.Which of these is bad for training a model? (a) examples of every type (b) only one kind of example (c) photos in many lights (d) many varied examples
  25. 25.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) an image (b) text (c) music or sound
  26. 26.Which of these describes how AI works? (a) same steps every time (b) follows fixed rules (c) improves with more data (d) uses rules people wrote
  27. 27.True or false: a video app suggesting what to watch next is AI predicting something. (a) True (b) False
  28. 28.Which of these is not AI? (a) an image generator (b) a digital watch (c) an app translating signs (d) face unlock on a phone
  29. 29.Which of these is the model? (a) past weather records (b) labelled fruit photos (c) naming a new leaf (d) what training builds
  30. 30.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it has a screen (c) it learns from examples (d) it uses electricity
  31. 31.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
  32. 32.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) making up a story (c) turning speech to text (d) drawing a new picture
  33. 33.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recognising (b) predicting (c) generating (d) recommending
  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 a normal program works? (a) uses rules people wrote (b) makes a best guess (c) improves with more data (d) spots patterns in data
  36. 36.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
  37. 37.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recognising (b) generating (c) recommending (d) predicting
  38. 38.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
  39. 39.🔍 Which is the odd one out? (a) wrong labels (b) copies of one photo (c) testing on training data (d) checking labels twice
  40. 40.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) charging (c) printing (d) cooking

Answer key

  1. its training data
  2. a simple rule is enough
  3. learns from examples
  4. an image
  5. data, model, prediction
  6. a fact
  7. very few examples
  8. True
  9. False
  10. True
  11. a myth
  12. labels added at random
  13. spotting spam
  14. text
  15. music or sound
  16. a text description
  17. clear, sharp examples
  18. False
  19. a torch
  20. a prediction
  21. a prompt
  22. adds to bias
  23. photos grouped by face
  24. only one kind of example
  25. an image
  26. improves with more data
  27. False
  28. a digital watch
  29. what training builds
  30. it learns from examples
  31. False
  32. turning speech to text
  33. recommending
  34. not a real check
  35. uses rules people wrote
  36. True
  37. predicting
  38. uses AI
  39. checking labels twice
  40. recommending

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