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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 961 · 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 is the odd one out? (a) ask different people (b) add varied examples (c) test on one group only (d) balance the data
  2. 2.Which of these describes how a normal program works? (a) handles unseen examples (b) same steps every time (c) spots patterns in data (d) gives a likely answer
  3. 3.Which of these is good for training a model? (a) testing on training data (b) labels added at random (c) wrong labels (d) many varied examples
  4. 4.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) actual information (d) app installer
  5. 5.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) music or sound (b) text (c) an image
  6. 6.Which of these describes how AI works? (a) never learns from data (b) same steps every time (c) spots patterns in data (d) follows fixed rules
  7. 7.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  8. 8.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
  9. 9.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
  10. 10.Which of these uses AI? (a) a light switch (b) a fan regulator (c) a printed timetable (d) a spam filter
  11. 11.Which of these is a prediction? (a) naming a new leaf (b) old emails marked spam (c) recorded spoken words (d) past weather records
  12. 12.True or false: “a cheerful tune for Sports Day” asks for an image. (a) True (b) False
  13. 13.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
  14. 14.True or false: “improves with more data” describes how AI works. (a) False (b) True
  15. 15.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
  16. 16.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
  17. 17.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
  18. 18.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) False (b) True
  19. 19.Which of these is bad for training a model? (a) correct labels (b) new data for testing (c) copies of one photo (d) many varied examples
  20. 20.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  21. 21.Which of these is not AI? (a) a spam filter (b) face unlock on a phone (c) an AI chatbot (d) a fan regulator
  22. 22.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  23. 23.True or false: an AI chatbot writing a poem about rain is AI recognising something. (a) True (b) False
  24. 24.True or false: a book app suggesting a story like your last one is AI recognising something. (a) False (b) True
  25. 25.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) naming a new leaf (d) typing a new spoken word
  26. 26.Which of these is a prediction? (a) the trained program (b) past weather records (c) the learned patterns (d) naming a new fruit photo
  27. 27.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
  28. 28.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
  29. 29.💬 What do we call the request you type to a generative AI? (a) a battery (b) a password (c) a label (d) a prompt
  30. 30.🤔 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
  31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
  32. 32.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
  33. 33.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recognising (b) recommending (c) predicting (d) generating
  34. 34.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
  35. 35.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
  36. 36.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) sorting photos by face (c) writing quiz questions (d) creating a cartoon
  37. 37.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
  38. 38.True or false: “new data for testing” is good for training a model. (a) False (b) True
  39. 39.Which of these is bad for training a model? (a) photos in many lights (b) labels added at random (c) many varied examples (d) new data for testing
  40. 40.True or false: “one set rule per case” describes how a normal program works. (a) True (b) False

Answer key

  1. test on one group only
  2. same steps every time
  3. many varied examples
  4. artificial intelligence
  5. text
  6. spots patterns in data
  7. False
  8. True
  9. bad for training
  10. a spam filter
  11. naming a new leaf
  12. False
  13. it learns patterns
  14. True
  15. True
  16. makes something new
  17. False
  18. True
  19. copies of one photo
  20. a normal program
  21. a fan regulator
  22. True
  23. False
  24. False
  25. old emails marked spam
  26. naming a new fruit photo
  27. sorts or predicts
  28. needs AI (learning)
  29. a prompt
  30. no, check it anyway
  31. a prediction
  32. a normal program
  33. predicting
  34. not AI
  35. data, model, prediction
  36. sorting photos by face
  37. a real check
  38. True
  39. labels added at random
  40. True

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