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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 687 · 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: “add more of the same” adds to bias. (a) True (b) False
  2. 2.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
  3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
  4. 4.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) printing (c) recommending (d) cooking
  5. 5.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
  6. 6.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
  7. 7.True or false: “flagging a new email” is training data. (a) True (b) False
  8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  9. 9.🔍 Which is the odd one out? (a) AI has real feelings (b) long answers are true (c) AI knows everything (d) AI can mix up numbers
  10. 10.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
  11. 11.🏷️ 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
  12. 12.Which of these is a myth about AI? (a) AI can make up facts (b) AI copies data patterns (c) AI has real feelings (d) AI answers need checking
  13. 13.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
  14. 14.Which of these describes how AI works? (a) follows fixed rules (b) handles unseen examples (c) does exactly as coded (d) uses rules people wrote
  15. 15.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
  16. 16.Which of these is not AI? (a) an image generator (b) a voice assistant (c) photos grouped by face (d) a digital watch
  17. 17.🔍 Which is the odd one out? (a) making up a story (b) reading number plates (c) drawing a new picture (d) writing quiz questions
  18. 18.Which of these adds to bias? (a) fix wrong labels (b) add more of the same (c) check who is missing (d) balance the data
  19. 19.True or false: “what training builds” is a prediction. (a) True (b) False
  20. 20.🔍 Which is the odd one out? (a) an app translating signs (b) face unlock on a phone (c) a printed timetable (d) a voice assistant
  21. 21.True or false: “only one kind of example” is good for training a model. (a) True (b) False
  22. 22.🔍 Which is the odd one out? (a) balance the data (b) skip testing (c) test on one group only (d) add more of the same
  23. 23.Which of these is not AI? (a) photos grouped by face (b) a voice assistant (c) an image generator (d) a torch
  24. 24.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) suggesting a video (c) composing a new tune (d) spotting spam
  25. 25.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) False (b) True
  26. 26.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
  27. 27.Which of these uses AI? (a) a kitchen weighing scale (b) face unlock on a phone (c) a fan regulator (d) a digital watch
  28. 28.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
  29. 29.True or false: “correct labels” is good for training a model. (a) False (b) True
  30. 30.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) add more of the same (d) ignore complaints
  31. 31.True or false: “AI learns from data” is a fact about AI. (a) True (b) False
  32. 32.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
  33. 33.Which of these is a fact about AI? (a) confident means correct (b) AI always checks facts (c) AI learns from data (d) AI knows everything
  34. 34.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  35. 35.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  36. 36.🔍 Which is the odd one out? (a) a map predicting traffic (b) a stopwatch (c) video suggestions (d) an AI chatbot
  37. 37.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  38. 38.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  39. 39.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  40. 40.Which of these adds to bias? (a) copy old unfair choices (b) test on many groups (c) check who is missing (d) add varied examples

Answer key

  1. True
  2. it learns patterns
  3. a prediction
  4. recommending
  5. True
  6. False
  7. False
  8. a prediction
  9. AI can mix up numbers
  10. True
  11. spam
  12. AI has real feelings
  13. False
  14. handles unseen examples
  15. a real check
  16. a digital watch
  17. reading number plates
  18. add more of the same
  19. False
  20. a printed timetable
  21. False
  22. balance the data
  23. a torch
  24. composing a new tune
  25. True
  26. not a real check
  27. face unlock on a phone
  28. no, check it anyway
  29. True
  30. add varied examples
  31. True
  32. sorts or predicts
  33. AI learns from data
  34. a normal program
  35. False
  36. a stopwatch
  37. True
  38. False
  39. AI
  40. copy old unfair choices

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