← 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 864 · 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: “very few examples” is bad for training a model. (a) True (b) False
  2. 2.Which of these adds to bias? (a) add varied examples (b) ask different people (c) test on one group only (d) check who is missing
  3. 3.🔍 Which is the odd one out? (a) a printed timetable (b) a doorbell (c) a torch (d) photos grouped by face
  4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
  5. 5.Which of these is good for training a model? (a) only one kind of example (b) testing on training data (c) checking labels twice (d) wrong labels
  6. 6.True or false: “one set rule per case” describes how AI works. (a) True (b) False
  7. 7.🔍 Which is the odd one out? (a) creating a cartoon (b) reading number plates (c) turning speech to text (d) spotting spam
  8. 8.True or false: “check who is missing” adds to bias. (a) False (b) True
  9. 9.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
  10. 10.Which of these uses AI? (a) a doorbell (b) face unlock on a phone (c) a kitchen weighing scale (d) a light switch
  11. 11.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI is never wrong (c) AI can make up facts (d) AI learns from data
  12. 12.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  13. 13.🔍 Which is the odd one out? (a) long answers are true (b) confident means correct (c) AI always checks facts (d) AI can be wrong
  14. 14.True or false: “long answers are true” is a myth about AI. (a) False (b) True
  15. 15.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) stop studying (c) share it online (d) trust the AI
  16. 16.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
  17. 17.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
  18. 18.Which of these is a myth about AI? (a) AI answers need checking (b) AI can be wrong (c) long answers are true (d) AI can make up facts
  19. 19.Which of these describes how AI works? (a) improves with more data (b) uses rules people wrote (c) follows fixed rules (d) same steps every time
  20. 20.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  21. 21.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) recorded spoken words (d) 500 labelled leaf photos
  22. 22.True or false: “a cheerful tune for Sports Day” asks for music or sound. (a) True (b) False
  23. 23.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  24. 24.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) the learned patterns (d) tomorrow’s rain guess
  25. 25.🤖 What does AI stand for? (a) app installer (b) actual information (c) artificial intelligence (d) automatic internet
  26. 26.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  27. 27.True or false: “copies of one photo” is good for training a model. (a) True (b) False
  28. 28.True or false: “test on one group only” adds to bias. (a) False (b) True
  29. 29.Which of these is generative AI (it makes something new)? (a) predicting rain (b) spotting spam (c) spotting a sick leaf (d) writing a new poem
  30. 30.Which of these adds to bias? (a) balance the data (b) ask different people (c) ignore complaints (d) test on many groups
  31. 31.True or false: “balance the data” adds to bias. (a) True (b) False
  32. 32.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) the weather (d) a text description
  33. 33.True or false: “labelled fruit photos” is training data. (a) False (b) True
  34. 34.💬 What do we call the request you type to a generative AI? (a) a battery (b) a label (c) a password (d) a prompt
  35. 35.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI can be wrong (c) confident means correct (d) AI can make up facts
  36. 36.True or false: “skip testing” helps reduce bias. (a) True (b) False
  37. 37.🔍 Which is the odd one out? (a) very few examples (b) new data for testing (c) blurry, unclear photos (d) testing on training data
  38. 38.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) True (b) False
  39. 39.Which of these is not AI? (a) video suggestions (b) a fan regulator (c) voice typing (d) an image generator
  40. 40.True or false: “examples of every type” is good for training a model. (a) True (b) False

Answer key

  1. True
  2. test on one group only
  3. photos grouped by face
  4. not spam
  5. checking labels twice
  6. False
  7. creating a cartoon
  8. False
  9. no, check it anyway
  10. face unlock on a phone
  11. AI is never wrong
  12. makes something new
  13. AI can be wrong
  14. True
  15. trust the textbook
  16. to see if it works
  17. a fact
  18. long answers are true
  19. improves with more data
  20. balanced data
  21. naming a new leaf
  22. True
  23. True
  24. the learned patterns
  25. artificial intelligence
  26. one-sided data
  27. False
  28. True
  29. writing a new poem
  30. ignore complaints
  31. False
  32. a text description
  33. True
  34. a prompt
  35. confident means correct
  36. False
  37. new data for testing
  38. False
  39. a fan regulator
  40. True

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