← 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 121 · 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.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) sleeping (c) singing (d) drawing
  2. 2.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
  3. 3.💬 What do we call the request you type to a generative AI? (a) a label (b) a battery (c) a password (d) a prompt
  4. 4.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) spotting spam (c) drawing a new picture (d) making up a story
  5. 5.True or false: “a soft lullaby melody” asks for text. (a) True (b) False
  6. 6.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
  7. 7.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
  8. 8.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
  9. 9.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
  10. 10.Which of these uses AI? (a) a stopwatch (b) a kitchen weighing scale (c) an app translating signs (d) a calculator
  11. 11.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
  12. 12.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) an image (b) text (c) music or sound
  13. 13.Which of these describes how AI works? (a) one set rule per case (b) follows fixed rules (c) same steps every time (d) learns from examples
  14. 14.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI
  15. 15.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
  16. 16.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
  17. 17.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  18. 18.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  20. 20.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) the trained program (d) naming a new fruit photo
  21. 21.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
  22. 22.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) use one group only (d) test on many groups
  23. 23.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  24. 24.Which of these is AI that sorts, spots or predicts (not generative)? (a) sorting photos by face (b) drafting a letter (c) creating a cartoon (d) inventing a recipe
  25. 25.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
  26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
  27. 27.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  28. 28.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) guess (c) pick a lucky number (d) look in your textbook
  29. 29.🔍 Which is the odd one out? (a) AI learns from data (b) confident means correct (c) AI can mix up numbers (d) AI answers need checking
  30. 30.Which of these uses AI? (a) a calculator (b) a doorbell (c) a torch (d) photos grouped by face
  31. 31.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
  32. 32.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  33. 33.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
  34. 34.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) False (b) True
  35. 35.True or false: “wrong labels” is bad for training a model. (a) True (b) False
  36. 36.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recognising (b) generating (c) predicting (d) recommending
  37. 37.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it will be perfect (d) it may get it wrong
  38. 38.Which of these is a myth about AI? (a) AI answers need checking (b) AI can make up facts (c) AI can be wrong (d) confident means correct
  39. 39.✍️ How does an AI chatbot write its replies? (a) uses magic (b) asks a person (c) copies one website (d) predicts likely words
  40. 40.Which of these is bad for training a model? (a) clear, sharp examples (b) very few examples (c) many varied examples (d) correct labels

Answer key

  1. predicting
  2. no, check it anyway
  3. a prompt
  4. spotting spam
  5. False
  6. a normal program
  7. it learns patterns
  8. True
  9. a fact
  10. an app translating signs
  11. good for training
  12. an image
  13. learns from examples
  14. uses AI
  15. sorts or predicts
  16. a real check
  17. balanced data
  18. adds to bias
  19. a prediction
  20. 500 labelled leaf photos
  21. needs AI (learning)
  22. test on many groups
  23. balanced data
  24. sorting photos by face
  25. a normal program
  26. not spam
  27. reduces bias
  28. look in your textbook
  29. confident means correct
  30. photos grouped by face
  31. False
  32. adds to bias
  33. True
  34. True
  35. True
  36. predicting
  37. it may get it wrong
  38. confident means correct
  39. predicts likely words
  40. very few examples

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