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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 2 · 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.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
  2. 2.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  3. 3.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
  4. 4.🔍 Which is the odd one out? (a) AI is never wrong (b) AI can make up facts (c) AI answers need checking (d) AI copies data patterns
  5. 5.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
  6. 6.Which of these uses AI? (a) a fan regulator (b) photos grouped by face (c) a microwave timer (d) a calculator
  7. 7.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
  8. 8.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) False (b) True
  9. 9.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
  10. 10.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  11. 11.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  12. 12.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  13. 13.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  14. 14.Which of these describes how AI works? (a) spots patterns in data (b) follows fixed rules (c) does exactly as coded (d) uses rules people wrote
  15. 15.True or false: “AI answers need checking” is a fact about AI. (a) False (b) True
  16. 16.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) check who is missing (d) ignore complaints
  17. 17.Which of these describes how AI works? (a) does exactly as coded (b) uses rules people wrote (c) learns from examples (d) follows fixed rules
  18. 18.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
  19. 19.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  20. 20.🔍 Which is the odd one out? (a) spotting a sick leaf (b) making up a story (c) sorting photos by face (d) turning speech to text
  21. 21.True or false: “AI has real feelings” is a fact about AI. (a) True (b) False
  22. 22.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) True (b) False
  23. 23.Which of these is good for training a model? (a) only one kind of example (b) copies of one photo (c) checking labels twice (d) wrong labels
  24. 24.Which of these is not AI? (a) an AI chatbot (b) a map predicting traffic (c) a kitchen weighing scale (d) voice typing
  25. 25.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
  26. 26.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
  27. 27.Which of these is generative AI (it makes something new)? (a) spotting spam (b) drawing a new picture (c) turning speech to text (d) sorting photos by face
  28. 28.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
  29. 29.🏷️ 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
  30. 30.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) recognising (c) predicting (d) recommending
  31. 31.🏠 AI or not AI: a printed timetable? (a) not AI (b) uses AI
  32. 32.Which of these is a myth about AI? (a) AI answers need checking (b) AI can mix up numbers (c) AI knows everything (d) AI copies data patterns
  33. 33.Which of these uses AI? (a) a torch (b) a map predicting traffic (c) a printed timetable (d) a light switch
  34. 34.🔍 Which is the odd one out? (a) photos in many lights (b) correct labels (c) many varied examples (d) only one kind of example
  35. 35.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) only on weekends (c) no, it finds patterns (d) yes, it gets sad
  36. 36.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) the learned patterns (d) flagging a new email
  37. 37.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) recommending (c) recognising (d) generating
  38. 38.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
  39. 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  40. 40.True or false: a shop guessing how many umbrellas will sell is AI recommending something. (a) True (b) False

Answer key

  1. a real check
  2. reduces bias
  3. a real check
  4. AI is never wrong
  5. False
  6. photos grouped by face
  7. a myth
  8. True
  9. not AI
  10. False
  11. a normal program
  12. False
  13. True
  14. spots patterns in data
  15. True
  16. ignore complaints
  17. learns from examples
  18. the model
  19. AI
  20. making up a story
  21. False
  22. True
  23. checking labels twice
  24. a kitchen weighing scale
  25. it learns patterns
  26. needs AI (learning)
  27. drawing a new picture
  28. False
  29. spam
  30. predicting
  31. not AI
  32. AI knows everything
  33. a map predicting traffic
  34. only one kind of example
  35. no, it finds patterns
  36. labelled fruit photos
  37. recognising
  38. bad for training
  39. training data
  40. False

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