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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 580 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
  2. 2.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  3. 3.📱 What is the AI doing here: a car camera reading a speed sign? (a) predicting (b) recommending (c) recognising (d) generating
  4. 4.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recognising (b) recommending (c) generating (d) predicting
  5. 5.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) False (b) True
  6. 6.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) typing a new spoken word (d) the learned patterns
  7. 7.Which of these describes how AI works? (a) makes a best guess (b) never learns from data (c) follows fixed rules (d) same steps every time
  8. 8.True or false: “examples of every type” is good for training a model. (a) True (b) False
  9. 9.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) unlocking with a face (c) composing a new tune (d) inventing a recipe
  10. 10.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
  11. 11.True or false: “AI copies data patterns” is a myth about AI. (a) False (b) True
  12. 12.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  13. 13.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
  14. 14.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
  15. 15.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) an image (b) text (c) music or sound
  16. 16.True or false: “recorded spoken words” is the model. (a) True (b) False
  17. 17.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
  18. 18.🔍 Which is the odd one out? (a) composing a new tune (b) making up a story (c) unlocking with a face (d) creating a cartoon
  19. 19.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  20. 20.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) ignore complaints (d) add more of the same
  21. 21.Which of these uses AI? (a) a fan regulator (b) a calculator (c) a torch (d) a map predicting traffic
  22. 22.True or false: “learns from examples” describes how AI works. (a) False (b) True
  23. 23.✨ What does generative AI do? (a) only stores files (b) only adds numbers (c) charges batteries (d) makes new content
  24. 24.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) yes, always (c) only on Mondays
  25. 25.🔍 Which is the odd one out? (a) a microwave timer (b) a fan regulator (c) voice typing (d) a calculator
  26. 26.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) printing (c) recommending (d) cooking
  27. 27.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) music or sound (b) an image (c) text
  28. 28.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  29. 29.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
  30. 30.🔍 Which is the odd one out? (a) testing on training data (b) blurry, unclear photos (c) only one kind of example (d) correct labels
  31. 31.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) copy old unfair choices (d) fix wrong labels
  32. 32.True or false: “examples of every type” is bad for training a model. (a) True (b) False
  33. 33.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) check it on paper (c) never do maths (d) copy it straight away
  34. 34.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
  35. 35.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  36. 36.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
  37. 37.True or false: a weather app guessing tomorrow’s rain is AI generating something new. (a) True (b) False
  38. 38.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it uses electricity (c) it is always right (d) it has a screen
  39. 39.True or false: “past weather records” is the model. (a) True (b) False
  40. 40.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) blurry, unclear photos (d) many varied examples

Answer key

  1. a prediction
  2. False
  3. recognising
  4. generating
  5. False
  6. old emails marked spam
  7. makes a best guess
  8. True
  9. unlocking with a face
  10. True
  11. False
  12. False
  13. not a real check
  14. data, model, prediction
  15. text
  16. False
  17. makes something new
  18. unlocking with a face
  19. AI
  20. fix wrong labels
  21. a map predicting traffic
  22. True
  23. makes new content
  24. no, it can be wrong
  25. voice typing
  26. recommending
  27. text
  28. good for training
  29. its training data
  30. correct labels
  31. copy old unfair choices
  32. False
  33. check it on paper
  34. a myth
  35. adds to bias
  36. past weather records
  37. False
  38. it learns from examples
  39. False
  40. blurry, unclear photos

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