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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 631 · 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: “a poster of a rainforest” asks for an image. (a) False (b) True
  2. 2.🔍 Which is the odd one out? (a) wrong labels (b) testing on training data (c) labels added at random (d) checking labels twice
  3. 3.🔍 Which is the odd one out? (a) checking labels twice (b) wrong labels (c) examples of every type (d) photos in many lights
  4. 4.True or false: “AI can be wrong” is a myth about AI. (a) False (b) True
  5. 5.🤖 What does AI stand for? (a) app installer (b) actual information (c) artificial intelligence (d) automatic internet
  6. 6.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  7. 7.Which of these uses AI? (a) a digital watch (b) a calculator (c) an app translating signs (d) a stopwatch
  8. 8.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
  9. 9.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recommending (b) generating (c) predicting (d) recognising
  10. 10.Which of these is AI that sorts, spots or predicts (not generative)? (a) reading number plates (b) drafting a letter (c) writing quiz questions (d) drawing a new picture
  11. 11.Which of these is a myth about AI? (a) confident means correct (b) AI can be wrong (c) AI can make up facts (d) AI learns from data
  12. 12.✨ Generative or not: sorting photos by face? (a) makes something new (b) sorts or predicts
  13. 13.True or false: “try the sum on paper” is a real way to check an AI answer. (a) False (b) True
  14. 14.True or false: “long answers are true” is a fact about AI. (a) False (b) True
  15. 15.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
  16. 16.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
  17. 17.🔍 Which is the odd one out? (a) photos grouped by face (b) a stopwatch (c) an app translating signs (d) a spam filter
  18. 18.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
  19. 19.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
  20. 20.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
  21. 21.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
  22. 22.🔍 Which is the odd one out? (a) spotting a sick leaf (b) writing quiz questions (c) turning speech to text (d) reading number plates
  23. 23.True or false: “the learned patterns” is the model. (a) False (b) True
  24. 24.🔍 Which is the odd one out? (a) very few examples (b) labels added at random (c) new data for testing (d) wrong labels
  25. 25.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
  26. 26.Which of these is not AI? (a) an AI chatbot (b) a doorbell (c) an app translating signs (d) a spam filter
  27. 27.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
  28. 28.✍️ How does an AI chatbot write its replies? (a) uses magic (b) predicts likely words (c) asks a person (d) copies one website
  29. 29.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  30. 30.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
  31. 31.True or false: “checking labels twice” is good for training a model. (a) False (b) True
  32. 32.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recommending (b) generating (c) recognising (d) predicting
  33. 33.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  34. 34.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
  35. 35.True or false: “labels added at random” is good for training a model. (a) True (b) False
  36. 36.Which of these is a fact about AI? (a) AI is never wrong (b) confident means correct (c) AI copies data patterns (d) AI always checks facts
  37. 37.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
  38. 38.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
  39. 39.🔍 Which is the odd one out? (a) many varied examples (b) checking labels twice (c) correct labels (d) blurry, unclear photos
  40. 40.True or false: “try the sum on paper” is NOT a real way to check an AI answer. (a) True (b) False

Answer key

  1. True
  2. checking labels twice
  3. wrong labels
  4. False
  5. artificial intelligence
  6. AI
  7. an app translating signs
  8. False
  9. predicting
  10. reading number plates
  11. confident means correct
  12. sorts or predicts
  13. True
  14. False
  15. good for training
  16. uses AI
  17. a stopwatch
  18. to see if it works
  19. no, it can be wrong
  20. a fact
  21. True
  22. writing quiz questions
  23. True
  24. new data for testing
  25. a real check
  26. a doorbell
  27. bad for training
  28. predicts likely words
  29. AI
  30. False
  31. True
  32. predicting
  33. True
  34. True
  35. False
  36. AI copies data patterns
  37. sorts or predicts
  38. False
  39. blurry, unclear photos
  40. False

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