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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 379 · 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) long answers are true (b) AI copies data patterns (c) AI learns from data (d) AI answers need checking
  2. 2.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
  3. 3.🔍 Which is the odd one out? (a) AI always checks facts (b) AI can mix up numbers (c) AI answers need checking (d) AI can be wrong
  4. 4.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  5. 5.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
  6. 6.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  7. 7.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  8. 8.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
  9. 9.🔍 Which is the odd one out? (a) a microwave timer (b) a torch (c) a digital watch (d) an AI chatbot
  10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  11. 11.True or false: “AI can mix up numbers” is a myth about AI. (a) True (b) False
  12. 12.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
  13. 13.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
  14. 14.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  15. 15.🏷️ 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
  16. 16.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
  17. 17.True or false: reading messy handwriting only needs a simple fixed rule. (a) False (b) True
  18. 18.📱 What is the AI doing here: a keyboard guessing your next word? (a) recommending (b) generating (c) recognising (d) predicting
  19. 19.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can mix up numbers (c) AI knows everything (d) AI answers need checking
  20. 20.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  21. 21.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  22. 22.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) flagging a new email (d) old emails marked spam
  23. 23.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
  24. 24.🔍 Which is the odd one out? (a) AI is never wrong (b) long answers are true (c) AI has real feelings (d) AI learns from data
  25. 25.🔍 Which is the odd one out? (a) spotting a sick leaf (b) turning speech to text (c) writing a new poem (d) unlocking with a face
  26. 26.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
  27. 27.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a password (c) a battery (d) a label
  28. 28.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
  29. 29.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI copies data patterns (c) confident means correct (d) AI learns from data
  30. 30.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) uses magic (c) asks a person (d) copies one website
  31. 31.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) check who is missing (d) ignore complaints
  32. 32.True or false: “one set rule per case” describes how a normal program works. (a) True (b) False
  33. 33.🤖 What does AI stand for? (a) app installer (b) automatic internet (c) actual information (d) artificial intelligence
  34. 34.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  35. 35.✨ What does generative AI do? (a) makes new content (b) only stores files (c) only adds numbers (d) charges batteries
  36. 36.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
  37. 37.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) one single photo (d) many labelled photos
  38. 38.Which of these describes how AI works? (a) handles unseen examples (b) follows fixed rules (c) uses rules people wrote (d) does exactly as coded
  39. 39.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
  40. 40.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False

Answer key

  1. long answers are true
  2. labelled fruit photos
  3. AI always checks facts
  4. True
  5. no
  6. reduces bias
  7. one-sided data
  8. good for training
  9. an AI chatbot
  10. training data
  11. False
  12. False
  13. it learns patterns
  14. False
  15. spam
  16. True
  17. False
  18. predicting
  19. AI knows everything
  20. reduces bias
  21. True
  22. flagging a new email
  23. a fact
  24. AI learns from data
  25. writing a new poem
  26. the learned patterns
  27. a prompt
  28. a myth
  29. confident means correct
  30. predicts likely words
  31. check who is missing
  32. True
  33. artificial intelligence
  34. training data
  35. makes new content
  36. a fact
  37. many labelled photos
  38. handles unseen examples
  39. True
  40. True

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