← Part 1 test: what AI is lesson New set →

AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 994 · 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 is the odd one out? (a) add more of the same (b) use one group only (c) add varied examples (d) ignore complaints
  2. 2.True or false: sorting names in A to Z order needs AI that learns from examples. (a) True (b) False
  3. 3.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it will be perfect (d) it may get it wrong
  4. 4.True or false: “AI can make up facts” is a fact about AI. (a) True (b) False
  5. 5.Which of these helps reduce bias? (a) fix wrong labels (b) copy old unfair choices (c) skip testing (d) test on one group only
  6. 6.Which of these is good for training a model? (a) blurry, unclear photos (b) correct labels (c) testing on training data (d) labels added at random
  7. 7.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
  8. 8.Which of these is a fact about AI? (a) AI has real feelings (b) AI can make up facts (c) AI is never wrong (d) AI knows everything
  9. 9.Which of these describes how a normal program works? (a) does exactly as coded (b) handles unseen examples (c) makes a best guess (d) learns from examples
  10. 10.Which of these is bad for training a model? (a) labels added at random (b) correct labels (c) checking labels twice (d) many varied examples
  11. 11.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
  12. 12.🧮 Which of these is NOT AI? (a) a basic calculator (b) a spam filter (c) face unlock (d) voice typing
  13. 13.🔍 Which is the odd one out? (a) correct labels (b) new data for testing (c) testing on training data (d) photos in many lights
  14. 14.🔍 Which is the odd one out? (a) AI can make up facts (b) AI has real feelings (c) AI learns from data (d) AI answers need checking
  15. 15.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
  16. 16.📱 What is the AI doing here: a camera app naming the flower you point at? (a) generating (b) recommending (c) recognising (d) predicting
  17. 17.🎨 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
  18. 18.Which of these is the model? (a) naming a new leaf (b) the trained program (c) tomorrow’s rain guess (d) past weather records
  19. 19.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  20. 20.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) copy old unfair choices (d) fix wrong labels
  21. 21.🤖 What does AI stand for? (a) app installer (b) artificial intelligence (c) actual information (d) automatic internet
  22. 22.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI can make up facts (c) AI copies data patterns (d) confident means correct
  23. 23.🤖 Who builds and trains AI systems? (a) the Moon (b) nobody at all (c) the weather (d) people
  24. 24.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
  25. 25.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it is always right (c) it learns from examples (d) it has a screen
  26. 26.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
  27. 27.Which of these uses AI? (a) a microwave timer (b) face unlock on a phone (c) a fan regulator (d) a calculator
  28. 28.True or false: “new data for testing” is good for training a model. (a) False (b) True
  29. 29.🔍 Which is the odd one out? (a) spotting a sick leaf (b) unlocking with a face (c) predicting rain (d) drawing a new picture
  30. 30.True or false: “spots patterns in data” describes how AI works. (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.Which of these is AI that sorts, spots or predicts (not generative)? (a) suggesting a video (b) drawing a new picture (c) writing a new poem (d) drafting a letter
  33. 33.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
  34. 34.Which of these describes how a normal program works? (a) handles unseen examples (b) same steps every time (c) improves with more data (d) spots patterns in data
  35. 35.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
  36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  37. 37.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
  38. 38.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
  39. 39.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  40. 40.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) the trained program (d) naming a new fruit photo

Answer key

  1. add varied examples
  2. False
  3. it may get it wrong
  4. True
  5. fix wrong labels
  6. correct labels
  7. a myth
  8. AI can make up facts
  9. does exactly as coded
  10. labels added at random
  11. its training data
  12. a basic calculator
  13. testing on training data
  14. AI has real feelings
  15. False
  16. recognising
  17. text
  18. the trained program
  19. balanced data
  20. fix wrong labels
  21. artificial intelligence
  22. confident means correct
  23. people
  24. uses AI
  25. it learns from examples
  26. sorts or predicts
  27. face unlock on a phone
  28. True
  29. drawing a new picture
  30. True
  31. False
  32. suggesting a video
  33. uses AI
  34. same steps every time
  35. needs AI (learning)
  36. training data
  37. a normal program
  38. True
  39. balanced data
  40. naming a new fruit photo

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students