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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 671 · 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.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
  2. 2.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
  3. 3.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
  4. 4.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  5. 5.True or false: “does exactly as coded” describes how AI works. (a) False (b) True
  6. 6.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
  7. 7.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
  8. 8.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
  9. 9.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  10. 10.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
  11. 11.Which of these is a myth about AI? (a) AI answers need checking (b) AI has real feelings (c) AI copies data patterns (d) AI can mix up numbers
  12. 12.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  13. 13.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
  14. 14.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) charge faster (d) learn from data
  15. 15.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  16. 16.Which of these is bad for training a model? (a) blurry, unclear photos (b) correct labels (c) new data for testing (d) examples of every type
  17. 17.True or false: “AI can be wrong” is a myth about AI. (a) False (b) True
  18. 18.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) an image (c) music or sound
  19. 19.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) False (b) True
  20. 20.✨ What does generative AI do? (a) makes new content (b) charges batteries (c) only adds numbers (d) only stores files
  21. 21.Which of these is not AI? (a) an AI chatbot (b) voice typing (c) a calculator (d) video suggestions
  22. 22.Which of these is training data? (a) labelled fruit photos (b) the learned patterns (c) naming a new fruit photo (d) the trained program
  23. 23.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  24. 24.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  25. 25.True or false: a car camera reading a speed sign is AI generating something new. (a) False (b) True
  26. 26.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
  27. 27.True or false: “photos in many lights” is good for training a model. (a) False (b) True
  28. 28.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
  29. 29.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) generating (b) predicting (c) recognising (d) recommending
  30. 30.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) a spam filter (d) voice typing
  31. 31.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  32. 32.🔍 Which is the odd one out? (a) a microwave timer (b) a stopwatch (c) a fan regulator (d) video suggestions
  33. 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
  34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
  35. 35.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
  36. 36.True or false: “a drawing of a cat on the Moon” asks for music or sound. (a) False (b) True
  37. 37.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) no, it follows rules (c) only at night (d) yes, it can think
  38. 38.True or false: “what training builds” is the model. (a) False (b) True
  39. 39.🔦 Is a torch with an on/off switch AI? (a) no (b) only if it is bright (c) yes
  40. 40.Which of these is a prediction? (a) naming a new leaf (b) the learned patterns (c) 500 labelled leaf photos (d) the trained program

Answer key

  1. a real check
  2. a simple rule is enough
  3. a myth
  4. a normal program
  5. False
  6. a real check
  7. bias from data
  8. True
  9. False
  10. False
  11. AI has real feelings
  12. what training builds
  13. uses AI
  14. learn from data
  15. a prediction
  16. blurry, unclear photos
  17. False
  18. an image
  19. True
  20. makes new content
  21. a calculator
  22. labelled fruit photos
  23. True
  24. False
  25. False
  26. False
  27. True
  28. needs AI (learning)
  29. generating
  30. a basic calculator
  31. needs AI (learning)
  32. video suggestions
  33. not spam
  34. spam
  35. True
  36. False
  37. no, it follows rules
  38. True
  39. no
  40. naming a new leaf

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