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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 985 · 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.Which of these adds to bias? (a) test on one group only (b) balance the data (c) test on many groups (d) add varied examples
  2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
  3. 3.True or false: “add more of the same” adds to bias. (a) True (b) False
  4. 4.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
  5. 5.True or false: “AI copies data patterns” is a fact about AI. (a) False (b) True
  6. 6.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
  7. 7.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) wrong labels (d) photos in many lights
  8. 8.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) use one group only (d) balance the data
  9. 9.Which of these helps reduce bias? (a) test on one group only (b) add varied examples (c) add more of the same (d) copy old unfair choices
  10. 10.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
  11. 11.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
  12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
  13. 13.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  14. 14.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  15. 15.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  16. 16.True or false: “AI has real feelings” is a myth about AI. (a) True (b) False
  17. 17.Which of these is a myth about AI? (a) AI can be wrong (b) AI learns from data (c) confident means correct (d) AI can make up facts
  18. 18.True or false: a keyboard guessing your next word is AI predicting something. (a) True (b) False
  19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
  20. 20.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  21. 21.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  22. 22.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
  23. 23.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  24. 24.True or false: “correct labels” is bad for training a model. (a) False (b) True
  25. 25.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  26. 26.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
  27. 27.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) printing (c) cooking (d) charging
  28. 28.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) never do maths (c) copy it straight away (d) check it on paper
  29. 29.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) False (b) True
  30. 30.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
  31. 31.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) labels added at random (d) new data for testing
  32. 32.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) a list of rules only (d) one single photo
  33. 33.Which of these is generative AI (it makes something new)? (a) spotting spam (b) turning speech to text (c) sorting photos by face (d) drawing a new picture
  34. 34.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
  35. 35.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) actual information (d) app installer
  36. 36.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
  37. 37.True or false: “a drawing of a cat on the Moon” asks for music or sound. (a) False (b) True
  38. 38.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
  39. 39.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) singing (c) sleeping (d) predicting
  40. 40.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias

Answer key

  1. test on one group only
  2. a prediction
  3. True
  4. a simple rule is enough
  5. True
  6. uses AI
  7. photos in many lights
  8. use one group only
  9. add varied examples
  10. a real check
  11. data, model, prediction
  12. not spam
  13. reduces bias
  14. a prediction
  15. training data
  16. True
  17. confident means correct
  18. True
  19. spam
  20. a normal program
  21. False
  22. makes something new
  23. False
  24. False
  25. one-sided data
  26. False
  27. recommending
  28. check it on paper
  29. False
  30. uses AI
  31. new data for testing
  32. many labelled photos
  33. drawing a new picture
  34. AI
  35. artificial intelligence
  36. False
  37. False
  38. its training data
  39. predicting
  40. reduces bias

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