← 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 493 · 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 of these uses AI? (a) a digital watch (b) photos grouped by face (c) a fan regulator (d) a microwave timer
  2. 2.Which of these describes how a normal program works? (a) makes a best guess (b) improves with more data (c) handles unseen examples (d) follows fixed rules
  3. 3.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recognising (b) generating (c) predicting (d) recommending
  4. 4.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) predicting (b) recognising (c) recommending (d) generating
  5. 5.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
  6. 6.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  7. 7.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  8. 8.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
  9. 9.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  10. 10.🔍 Which is the odd one out? (a) copies of one photo (b) very few examples (c) new data for testing (d) blurry, unclear photos
  11. 11.✅ Is this a real check of an AI answer: asking the same AI again? (a) a real check (b) not a real check
  12. 12.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  13. 13.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
  14. 14.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  15. 15.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  16. 16.🔍 Which is the odd one out? (a) test on one group only (b) balance the data (c) use one group only (d) skip testing
  17. 17.Which of these is the model? (a) typing a new spoken word (b) naming a new leaf (c) past weather records (d) the learned patterns
  18. 18.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
  19. 19.🏠 AI or not AI: video suggestions? (a) not AI (b) uses AI
  20. 20.True or false: reading messy handwriting only needs a simple fixed rule. (a) True (b) False
  21. 21.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
  22. 22.Which of these is a fact about AI? (a) AI can make up facts (b) confident means correct (c) AI knows everything (d) long answers are true
  23. 23.🔍 Which is the odd one out? (a) clear, sharp examples (b) very few examples (c) photos in many lights (d) many varied examples
  24. 24.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
  25. 25.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  26. 26.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
  27. 27.🏠 AI or not AI: a doorbell? (a) uses AI (b) not AI
  28. 28.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  29. 29.Which of these helps reduce bias? (a) copy old unfair choices (b) add varied examples (c) test on one group only (d) add more of the same
  30. 30.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  31. 31.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  32. 32.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
  33. 33.True or false: “a thank-you note to the bus driver” asks for music or sound. (a) True (b) False
  34. 34.Which of these is a fact about AI? (a) AI always checks facts (b) AI is never wrong (c) AI can be wrong (d) AI knows everything
  35. 35.True or false: a shop guessing how many umbrellas will sell is AI recognising something. (a) False (b) True
  36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
  37. 37.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
  38. 38.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) copy it straight away (c) check it on paper (d) ask it to hurry
  39. 39.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
  40. 40.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction

Answer key

  1. photos grouped by face
  2. follows fixed rules
  3. recommending
  4. generating
  5. a fact
  6. a fact
  7. adds to bias
  8. False
  9. a prediction
  10. new data for testing
  11. not a real check
  12. one-sided data
  13. a normal program
  14. False
  15. one-sided data
  16. balance the data
  17. the learned patterns
  18. AI
  19. uses AI
  20. False
  21. not AI
  22. AI can make up facts
  23. very few examples
  24. to see if it works
  25. a real check
  26. False
  27. not AI
  28. a fact
  29. add varied examples
  30. balanced data
  31. reduces bias
  32. a real check
  33. False
  34. AI can be wrong
  35. False
  36. not spam
  37. False
  38. check it on paper
  39. not a real check
  40. data, model, prediction

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