← 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 974 · 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: “testing on training data” is bad for training a model. (a) True (b) False
  2. 2.Which of these is the model? (a) the trained program (b) past weather records (c) 500 labelled leaf photos (d) old emails marked spam
  3. 3.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) copy old unfair choices (d) fix wrong labels
  4. 4.Which of these describes how AI works? (a) uses rules people wrote (b) spots patterns in data (c) follows fixed rules (d) does exactly as coded
  5. 5.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
  6. 6.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) recommending (c) generating (d) predicting
  7. 7.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) printing (c) recommending (d) charging
  8. 8.🔍 Which is the odd one out? (a) AI always checks facts (b) AI has real feelings (c) confident means correct (d) AI copies data patterns
  9. 9.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
  10. 10.True or false: “it is long and detailed” is a real way to check an AI answer. (a) False (b) True
  11. 11.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
  12. 12.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
  13. 13.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  14. 14.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) text (b) music or sound (c) an image
  15. 15.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) drafting a letter (c) writing a new poem (d) spotting spam
  16. 16.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) reading number plates (c) creating a cartoon (d) sorting photos by face
  17. 17.True or false: “AI answers need checking” is a fact about AI. (a) True (b) False
  18. 18.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a spam filter (d) a basic calculator
  19. 19.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) music or sound (c) text
  20. 20.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  22. 22.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
  23. 23.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) check who is missing (d) balance the data
  24. 24.Which of these uses AI? (a) video suggestions (b) a calculator (c) a stopwatch (d) a kitchen weighing scale
  25. 25.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the textbook (c) share it online (d) trust the AI
  26. 26.🔍 Which is the odd one out? (a) testing on training data (b) only one kind of example (c) new data for testing (d) wrong labels
  27. 27.True or false: “uses rules people wrote” describes how a normal program works. (a) True (b) False
  28. 28.📱 What is the AI doing here: turning your spoken words into typed text? (a) recognising (b) generating (c) recommending (d) predicting
  29. 29.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  30. 30.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
  31. 31.🔍 Which is the odd one out? (a) voice typing (b) a kitchen weighing scale (c) a printed timetable (d) a digital watch
  32. 32.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
  33. 33.🤖 Who builds and trains AI systems? (a) the weather (b) people (c) the Moon (d) nobody at all
  34. 34.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
  35. 35.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) yes, just like us (c) only on weekends (d) no, it finds patterns
  36. 36.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) False (b) True
  37. 37.True or false: “a cartoon of a dancing elephant” asks for an image. (a) False (b) True
  38. 38.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
  39. 39.✨ Generative or not: suggesting a video? (a) sorts or predicts (b) makes something new
  40. 40.True or false: “follows fixed rules” describes how a normal program works. (a) True (b) False

Answer key

  1. True
  2. the trained program
  3. fix wrong labels
  4. spots patterns in data
  5. bad for training
  6. predicting
  7. recommending
  8. AI copies data patterns
  9. not a real check
  10. False
  11. a normal program
  12. True
  13. one-sided data
  14. music or sound
  15. spotting spam
  16. creating a cartoon
  17. True
  18. a basic calculator
  19. text
  20. adds to bias
  21. the model
  22. False
  23. use one group only
  24. video suggestions
  25. trust the textbook
  26. new data for testing
  27. True
  28. recognising
  29. old emails marked spam
  30. labelled fruit photos
  31. voice typing
  32. a prediction
  33. people
  34. bad for training
  35. no, it finds patterns
  36. True
  37. True
  38. not AI
  39. sorts or predicts
  40. True

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