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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 278 · 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.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
  2. 2.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
  3. 3.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) True (b) False
  4. 4.True or false: a shop guessing how many umbrellas will sell is AI generating something new. (a) False (b) True
  5. 5.🔍 Which is the odd one out? (a) checking labels twice (b) only one kind of example (c) many varied examples (d) correct labels
  6. 6.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
  7. 7.Which of these uses AI? (a) video suggestions (b) a light switch (c) a fan regulator (d) a doorbell
  8. 8.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
  9. 9.🔍 Which is the odd one out? (a) sorting photos by face (b) spotting spam (c) writing quiz questions (d) spotting a sick leaf
  10. 10.True or false: “one set rule per case” describes how AI works. (a) False (b) True
  11. 11.Which of these is the model? (a) tomorrow’s rain guess (b) typing a new spoken word (c) 500 labelled leaf photos (d) the trained program
  12. 12.🔍 Which is the odd one out? (a) correct labels (b) labels added at random (c) only one kind of example (d) very few examples
  13. 13.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  14. 14.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
  15. 15.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) False (b) True
  16. 16.Which of these describes how AI works? (a) same steps every time (b) follows fixed rules (c) spots patterns in data (d) does exactly as coded
  17. 17.🔍 Which is the odd one out? (a) examples of every type (b) photos in many lights (c) blurry, unclear photos (d) many varied examples
  18. 18.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) recommending (c) predicting (d) recognising
  19. 19.Which of these is not AI? (a) video suggestions (b) a fan regulator (c) an image generator (d) voice typing
  20. 20.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  21. 21.🔍 Which is the odd one out? (a) very few examples (b) correct labels (c) clear, sharp examples (d) photos in many lights
  22. 22.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) test on many groups (d) ask different people
  23. 23.True or false: a camera app naming the flower you point at is AI predicting something. (a) False (b) True
  24. 24.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  25. 25.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) False (b) True
  26. 26.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) 500 labelled leaf photos (d) the trained program
  27. 27.🔍 Which is the odd one out? (a) spotting spam (b) spotting a sick leaf (c) reading number plates (d) writing a new poem
  28. 28.Which of these describes how a normal program works? (a) gives a likely answer (b) learns from examples (c) same steps every time (d) improves with more data
  29. 29.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  30. 30.True or false: “many varied examples” is bad for training a model. (a) True (b) False
  31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
  32. 32.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
  33. 33.True or false: counting the words in an essay only needs a simple fixed rule. (a) False (b) True
  34. 34.True or false: “the trained program” is the model. (a) True (b) False
  35. 35.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
  36. 36.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) wrong labels (d) new data for testing
  37. 37.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
  38. 38.🔍 Which is the odd one out? (a) correct labels (b) clear, sharp examples (c) copies of one photo (d) new data for testing
  39. 39.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  40. 40.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI

Answer key

  1. uses AI
  2. False
  3. False
  4. False
  5. only one kind of example
  6. data, model, prediction
  7. video suggestions
  8. spam
  9. writing quiz questions
  10. False
  11. the trained program
  12. correct labels
  13. AI
  14. a myth
  15. True
  16. spots patterns in data
  17. blurry, unclear photos
  18. predicting
  19. a fan regulator
  20. good for training
  21. very few examples
  22. copy old unfair choices
  23. False
  24. True
  25. True
  26. 500 labelled leaf photos
  27. writing a new poem
  28. same steps every time
  29. AI
  30. False
  31. a prediction
  32. not a real check
  33. True
  34. True
  35. True
  36. wrong labels
  37. False
  38. copies of one photo
  39. the learned patterns
  40. a normal program

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