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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 80 · 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) copy old unfair choices (b) use one group only (c) ask different people (d) add more of the same
  2. 2.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  3. 3.Which of these is good for training a model? (a) copies of one photo (b) very few examples (c) new data for testing (d) wrong labels
  4. 4.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
  5. 5.True or false: reading messy handwriting needs AI that learns from examples. (a) True (b) False
  6. 6.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  7. 7.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  8. 8.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) False (b) True
  9. 9.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) only on weekends (c) yes, just like us (d) yes, it gets sad
  10. 10.💬 What do we call the request you type to a generative AI? (a) a battery (b) a prompt (c) a label (d) a password
  11. 11.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
  12. 12.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
  13. 13.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  14. 14.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
  15. 15.Which of these is a fact about AI? (a) AI can make up facts (b) AI knows everything (c) AI is never wrong (d) long answers are true
  16. 16.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
  17. 17.✨ What does generative AI do? (a) charges batteries (b) only stores files (c) only adds numbers (d) makes new content
  18. 18.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  19. 19.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  20. 20.True or false: “write a poem about the monsoon” asks for music or sound. (a) False (b) True
  21. 21.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
  22. 22.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
  23. 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  24. 24.🔍 Which is the odd one out? (a) labels added at random (b) copies of one photo (c) photos in many lights (d) only one kind of example
  25. 25.True or false: “many varied examples” is bad for training a model. (a) False (b) True
  26. 26.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  27. 27.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  28. 28.Which of these describes how AI works? (a) makes a best guess (b) never learns from data (c) follows fixed rules (d) uses rules people wrote
  29. 29.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  30. 30.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) only at night (c) yes, it can think (d) yes, it is smart
  31. 31.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) never do maths (c) ask it to hurry (d) copy it straight away
  32. 32.Which of these uses AI? (a) video suggestions (b) a digital watch (c) a light switch (d) a kitchen weighing scale
  33. 33.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
  34. 34.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) only one kind of example (d) examples of every type
  35. 35.Which of these is not AI? (a) a microwave timer (b) a map predicting traffic (c) a voice assistant (d) a spam filter
  36. 36.✍️ How does an AI chatbot write its replies? (a) uses magic (b) copies one website (c) predicts likely words (d) asks a person
  37. 37.True or false: “examples of every type” is good for training a model. (a) True (b) False
  38. 38.🔍 Which is the odd one out? (a) reading number plates (b) unlocking with a face (c) inventing a recipe (d) turning speech to text
  39. 39.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
  40. 40.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training

Answer key

  1. ask different people
  2. needs AI (learning)
  3. new data for testing
  4. False
  5. True
  6. adds to bias
  7. the model
  8. True
  9. no, it finds patterns
  10. a prompt
  11. a fact
  12. False
  13. a prediction
  14. needs AI (learning)
  15. AI can make up facts
  16. a fact
  17. makes new content
  18. a real check
  19. one-sided data
  20. False
  21. spam
  22. AI
  23. a prediction
  24. photos in many lights
  25. False
  26. True
  27. False
  28. makes a best guess
  29. AI
  30. no, it follows rules
  31. check it on paper
  32. video suggestions
  33. uses AI
  34. examples of every type
  35. a microwave timer
  36. predicts likely words
  37. True
  38. inventing a recipe
  39. not a real check
  40. good for training

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