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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 989 · 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: “photos in many lights” is good for training a model. (a) False (b) True
  2. 2.True or false: a shop guessing how many umbrellas will sell is AI generating something new. (a) True (b) False
  3. 3.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
  4. 4.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) False (b) True
  5. 5.Which of these is the model? (a) labelled fruit photos (b) typing a new spoken word (c) the learned patterns (d) naming a new leaf
  6. 6.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
  7. 7.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  8. 8.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
  9. 9.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) no, it follows rules (d) only at night
  10. 10.True or false: “match it to the textbook” is a real way to check an AI answer. (a) True (b) False
  11. 11.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
  12. 12.🔍 Which is the odd one out? (a) AI answers need checking (b) AI copies data patterns (c) AI is never wrong (d) AI can mix up numbers
  13. 13.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  14. 14.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
  15. 15.🔍 Which is the odd one out? (a) very few examples (b) clear, sharp examples (c) labels added at random (d) copies of one photo
  16. 16.Which of these is bad for training a model? (a) blurry, unclear photos (b) clear, sharp examples (c) checking labels twice (d) new data for testing
  17. 17.True or false: “check who is missing” adds to bias. (a) False (b) True
  18. 18.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) naming a new fruit photo (d) old emails marked spam
  19. 19.True or false: an AI tool making a brand-new tune is AI recognising something. (a) False (b) True
  20. 20.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
  21. 21.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) True (b) False
  22. 22.Which of these describes how AI works? (a) does exactly as coded (b) uses rules people wrote (c) follows fixed rules (d) makes a best guess
  23. 23.True or false: an online shop showing “you may also like” is AI recognising something. (a) False (b) True
  24. 24.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
  25. 25.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
  26. 26.Which of these is training data? (a) the trained program (b) the learned patterns (c) naming a new fruit photo (d) labelled fruit photos
  27. 27.Which of these uses AI? (a) a spam filter (b) a calculator (c) a doorbell (d) a light switch
  28. 28.True or false: “write a poem about the monsoon” asks for an image. (a) True (b) False
  29. 29.🔍 Which is the odd one out? (a) drawing a new picture (b) reading number plates (c) spotting spam (d) spotting a sick leaf
  30. 30.🔍 Which is the odd one out? (a) an image generator (b) a fan regulator (c) a kitchen weighing scale (d) a printed timetable
  31. 31.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  32. 32.Which of these is bad for training a model? (a) examples of every type (b) many varied examples (c) correct labels (d) labels added at random
  33. 33.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) charging (c) cooking (d) recommending
  34. 34.Which of these is bad for training a model? (a) clear, sharp examples (b) checking labels twice (c) copies of one photo (d) correct labels
  35. 35.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
  36. 36.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
  37. 37.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) predicting (b) generating (c) recommending (d) recognising
  38. 38.🔍 Which is the odd one out? (a) a calculator (b) a torch (c) a doorbell (d) video suggestions
  39. 39.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) add more of the same (d) balance the data
  40. 40.Which of these is not AI? (a) an image generator (b) photos grouped by face (c) a printed timetable (d) face unlock on a phone

Answer key

  1. True
  2. False
  3. data, model, prediction
  4. True
  5. the learned patterns
  6. True
  7. True
  8. a myth
  9. no, it follows rules
  10. True
  11. AI
  12. AI is never wrong
  13. False
  14. a myth
  15. clear, sharp examples
  16. blurry, unclear photos
  17. False
  18. naming a new fruit photo
  19. False
  20. a fact
  21. False
  22. makes a best guess
  23. False
  24. True
  25. uses AI
  26. labelled fruit photos
  27. a spam filter
  28. False
  29. drawing a new picture
  30. an image generator
  31. one-sided data
  32. labels added at random
  33. recommending
  34. copies of one photo
  35. makes something new
  36. True
  37. generating
  38. video suggestions
  39. add more of the same
  40. a printed timetable

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