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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 569 · 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 is a fact about AI? (a) AI copies data patterns (b) long answers are true (c) confident means correct (d) AI has real feelings
  2. 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
  3. 3.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
  4. 4.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  5. 5.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
  6. 6.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) spotting spam (c) drafting a letter (d) composing a new tune
  7. 7.✨ Generative or not: suggesting a video? (a) sorts or predicts (b) makes something new
  8. 8.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
  9. 9.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
  10. 10.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) add varied examples (d) ignore complaints
  11. 11.🔍 Which is the odd one out? (a) a spam filter (b) a digital watch (c) a voice assistant (d) video suggestions
  12. 12.Which of these uses AI? (a) an app translating signs (b) a digital watch (c) a light switch (d) a kitchen weighing scale
  13. 13.True or false: an online shop showing “you may also like” is AI predicting something. (a) True (b) False
  14. 14.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) ask it to hurry (c) check it on paper (d) copy it straight away
  15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
  16. 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
  17. 17.Which of these is a myth about AI? (a) AI can make up facts (b) AI answers need checking (c) long answers are true (d) AI can mix up numbers
  18. 18.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  19. 19.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) copy old unfair choices (d) ask different people
  20. 20.🔍 Which is the odd one out? (a) a spam filter (b) a torch (c) a microwave timer (d) a printed timetable
  21. 21.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  22. 22.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
  23. 23.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
  24. 24.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
  25. 25.Which of these is a myth about AI? (a) AI has real feelings (b) AI can mix up numbers (c) AI can make up facts (d) AI learns from data
  26. 26.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
  27. 27.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  28. 28.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
  29. 29.📱 What is the AI doing here: a car camera reading a speed sign? (a) recognising (b) recommending (c) predicting (d) generating
  30. 30.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  31. 31.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
  32. 32.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  33. 33.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
  34. 34.🔍 Which is the odd one out? (a) long answers are true (b) AI learns from data (c) AI always checks facts (d) confident means correct
  35. 35.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) ignore complaints (d) skip testing
  36. 36.True or false: “many varied examples” is good for training a model. (a) True (b) False
  37. 37.Which of these is good for training a model? (a) many varied examples (b) blurry, unclear photos (c) testing on training data (d) very few examples
  38. 38.Which of these is good for training a model? (a) new data for testing (b) wrong labels (c) testing on training data (d) very few examples
  39. 39.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  40. 40.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI

Answer key

  1. AI copies data patterns
  2. few child voices in data
  3. not a real check
  4. a normal program
  5. a real check
  6. spotting spam
  7. sorts or predicts
  8. makes something new
  9. True
  10. ignore complaints
  11. a digital watch
  12. an app translating signs
  13. False
  14. check it on paper
  15. a prediction
  16. 500 labelled leaf photos
  17. long answers are true
  18. makes something new
  19. copy old unfair choices
  20. a spam filter
  21. False
  22. makes something new
  23. True
  24. True
  25. AI has real feelings
  26. a simple rule is enough
  27. False
  28. data, model, prediction
  29. recognising
  30. True
  31. False
  32. False
  33. True
  34. AI learns from data
  35. test on many groups
  36. True
  37. many varied examples
  38. new data for testing
  39. reduces bias
  40. uses AI

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