← 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 695 · 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) test on many groups (b) ask different people (c) add varied examples (d) add more of the same
  2. 2.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
  4. 4.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  5. 5.🎨 An image generator makes a picture from… (a) a text description (b) a phone number (c) your password (d) the weather
  6. 6.True or false: finding 10% of a price needs AI that learns from examples. (a) False (b) True
  7. 7.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) ask different people (d) check who is missing
  8. 8.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  9. 9.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
  10. 10.True or false: “a summary of chapter 3” asks for text. (a) False (b) True
  11. 11.🔍 Which is the odd one out? (a) blurry, unclear photos (b) clear, sharp examples (c) correct labels (d) many varied examples
  12. 12.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) what training builds (d) flagging a new email
  13. 13.True or false: sorting names in A to Z order needs AI that learns from examples. (a) False (b) True
  14. 14.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) ask it to repeat (c) pick a lucky number (d) guess
  15. 15.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  16. 16.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
  17. 17.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
  18. 18.🔍 Which is the odd one out? (a) a calculator (b) an image generator (c) an app translating signs (d) a spam filter
  19. 19.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
  20. 20.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  21. 21.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) cooking (c) recommending (d) printing
  22. 22.True or false: “a summary of chapter 3” asks for music or sound. (a) True (b) False
  23. 23.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  24. 24.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
  25. 25.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  26. 26.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
  27. 27.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
  28. 28.True or false: “AI learns from data” is a fact about AI. (a) True (b) False
  29. 29.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
  30. 30.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will shut down (c) it will turn yellow (d) it will be perfect
  31. 31.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  32. 32.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
  33. 33.True or false: “gives a likely answer” describes how AI works. (a) False (b) True
  34. 34.True or false: “AI knows everything” is a fact about AI. (a) False (b) True
  35. 35.True or false: “flagging a new email” is training data. (a) True (b) False
  36. 36.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  37. 37.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) text (c) an image
  38. 38.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
  39. 39.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
  40. 40.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False

Answer key

  1. add more of the same
  2. False
  3. spam
  4. adds to bias
  5. a text description
  6. False
  7. ignore complaints
  8. adds to bias
  9. few child voices in data
  10. True
  11. blurry, unclear photos
  12. flagging a new email
  13. False
  14. look in your textbook
  15. False
  16. makes something new
  17. False
  18. a calculator
  19. makes something new
  20. makes something new
  21. recommending
  22. False
  23. one-sided data
  24. bad for training
  25. reduces bias
  26. uses AI
  27. a simple rule is enough
  28. True
  29. it learns patterns
  30. it may get it wrong
  31. reduces bias
  32. no, it can be wrong
  33. True
  34. False
  35. False
  36. the learned patterns
  37. text
  38. a simple rule is enough
  39. the model
  40. False

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