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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 572 · 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) a kitchen weighing scale (b) a map predicting traffic (c) a voice assistant (d) an app translating signs
  2. 2.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
  3. 3.Which of these is bad for training a model? (a) clear, sharp examples (b) new data for testing (c) correct labels (d) labels added at random
  4. 4.🤖 What does AI stand for? (a) automatic internet (b) actual information (c) app installer (d) artificial intelligence
  5. 5.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
  6. 6.✍️ How does an AI chatbot write its replies? (a) asks a person (b) predicts likely words (c) uses magic (d) copies one website
  7. 7.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
  8. 8.True or false: finding 10% of a price only needs a simple fixed rule. (a) True (b) False
  9. 9.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
  10. 10.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  11. 11.Which of these adds to bias? (a) add more of the same (b) ask different people (c) balance the data (d) fix wrong labels
  12. 12.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) yes, it can think (c) only at night (d) no, it follows rules
  13. 13.Which of these describes how AI works? (a) follows fixed rules (b) makes a best guess (c) never learns from data (d) one set rule per case
  14. 14.🔍 Which is the odd one out? (a) inventing a recipe (b) turning speech to text (c) writing quiz questions (d) drawing a new picture
  15. 15.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
  16. 16.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
  17. 17.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
  18. 18.🔍 Which is the odd one out? (a) a torch (b) an app translating signs (c) face unlock on a phone (d) voice typing
  19. 19.Which of these describes how AI works? (a) same steps every time (b) does exactly as coded (c) one set rule per case (d) improves with more data
  20. 20.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) an image (b) text (c) music or sound
  21. 21.Which of these is bad for training a model? (a) checking labels twice (b) examples of every type (c) new data for testing (d) wrong labels
  22. 22.Which of these is a myth about AI? (a) AI can be wrong (b) AI is never wrong (c) AI learns from data (d) AI can make up facts
  23. 23.🔍 Which is the odd one out? (a) a fan regulator (b) an AI chatbot (c) a microwave timer (d) a kitchen weighing scale
  24. 24.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
  25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
  26. 26.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
  27. 27.🎨 An image generator makes a picture from… (a) your password (b) the weather (c) a text description (d) a phone number
  28. 28.Which of these is good for training a model? (a) wrong labels (b) copies of one photo (c) correct labels (d) blurry, unclear photos
  29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
  30. 30.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
  31. 31.Which of these is a fact about AI? (a) AI is never wrong (b) long answers are true (c) AI answers need checking (d) AI has real feelings
  32. 32.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
  33. 33.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  34. 34.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  35. 35.True or false: “learns from examples” describes how a normal program works. (a) False (b) True
  36. 36.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
  37. 37.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
  38. 38.True or false: “improves with more data” describes how AI works. (a) True (b) False
  39. 39.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  40. 40.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth

Answer key

  1. a kitchen weighing scale
  2. good for training
  3. labels added at random
  4. artificial intelligence
  5. True
  6. predicts likely words
  7. a myth
  8. True
  9. uses AI
  10. one-sided data
  11. add more of the same
  12. no, it follows rules
  13. makes a best guess
  14. turning speech to text
  15. a normal program
  16. False
  17. a normal program
  18. a torch
  19. improves with more data
  20. music or sound
  21. wrong labels
  22. AI is never wrong
  23. an AI chatbot
  24. sorts or predicts
  25. spam
  26. a normal program
  27. a text description
  28. correct labels
  29. spam
  30. False
  31. AI answers need checking
  32. a myth
  33. one-sided data
  34. training data
  35. False
  36. not AI
  37. AI
  38. True
  39. a real check
  40. a myth

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