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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 709 · 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: “a logo idea for the eco club” asks for an image. (a) True (b) False
  2. 2.🔍 Which is the odd one out? (a) a calculator (b) a printed timetable (c) a digital watch (d) face unlock on a phone
  3. 3.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
  4. 4.🔍 Which is the odd one out? (a) a map predicting traffic (b) a printed timetable (c) video suggestions (d) an AI chatbot
  5. 5.🔍 Which is the odd one out? (a) inventing a recipe (b) suggesting a video (c) writing a new poem (d) writing quiz questions
  6. 6.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
  7. 7.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
  8. 8.True or false: “a summary of chapter 3” asks for text. (a) True (b) False
  9. 9.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) the Moon (d) people
  10. 10.True or false: “many varied examples” is bad for training a model. (a) False (b) True
  11. 11.✨ Generative or not: spotting spam? (a) sorts or predicts (b) makes something new
  12. 12.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
  13. 13.Which of these helps reduce bias? (a) copy old unfair choices (b) check who is missing (c) use one group only (d) add more of the same
  14. 14.📱 What is the AI doing here: turning your spoken words into typed text? (a) recognising (b) generating (c) predicting (d) recommending
  15. 15.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) predicting (b) recommending (c) generating (d) recognising
  16. 16.Which of these describes how a normal program works? (a) improves with more data (b) follows fixed rules (c) learns from examples (d) gives a likely answer
  17. 17.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) predicting (b) recommending (c) generating (d) recognising
  18. 18.Which of these is generative AI (it makes something new)? (a) reading number plates (b) unlocking with a face (c) creating a cartoon (d) spotting a sick leaf
  19. 19.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) many labelled photos (d) a song about dogs
  20. 20.🔍 Which is the odd one out? (a) sorting photos by face (b) drawing a new picture (c) reading number plates (d) suggesting a video
  21. 21.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) wrong labels (d) correct labels
  22. 22.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
  23. 23.Which of these describes how a normal program works? (a) handles unseen examples (b) gives a likely answer (c) learns from examples (d) never learns from data
  24. 24.🔍 Which is the odd one out? (a) correct labels (b) labels added at random (c) examples of every type (d) many varied examples
  25. 25.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  26. 26.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  27. 27.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) composing a new tune (c) writing a new poem (d) reading number plates
  28. 28.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
  29. 29.True or false: an AI chatbot writing a story about a lost kite is AI generating something new. (a) False (b) True
  30. 30.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) inventing a recipe (c) spotting spam (d) writing a new poem
  31. 31.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it has a screen (c) it is always right (d) it uses electricity
  32. 32.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) test on many groups (d) ignore complaints
  33. 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
  34. 34.True or false: “one set rule per case” describes how AI works. (a) True (b) False
  35. 35.True or false: “AI learns from data” is a fact about AI. (a) True (b) False
  36. 36.Which of these is the model? (a) the trained program (b) recorded spoken words (c) past weather records (d) flagging a new email
  37. 37.True or false: “use one group only” adds to bias. (a) False (b) True
  38. 38.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
  39. 39.True or false: “labels added at random” is good for training a model. (a) False (b) True
  40. 40.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) no, check it anyway (c) yes, always

Answer key

  1. True
  2. face unlock on a phone
  3. sorts or predicts
  4. a printed timetable
  5. suggesting a video
  6. True
  7. False
  8. True
  9. people
  10. False
  11. sorts or predicts
  12. False
  13. check who is missing
  14. recognising
  15. predicting
  16. follows fixed rules
  17. generating
  18. creating a cartoon
  19. many labelled photos
  20. drawing a new picture
  21. correct labels
  22. uses AI
  23. never learns from data
  24. labels added at random
  25. False
  26. training data
  27. reading number plates
  28. spam
  29. True
  30. spotting spam
  31. it learns from examples
  32. test on many groups
  33. not spam
  34. False
  35. True
  36. the trained program
  37. True
  38. data, model, prediction
  39. False
  40. no, check it anyway

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