← 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 313 · 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.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
  2. 2.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
  3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  4. 4.True or false: “naming a new fruit photo” is the model. (a) False (b) True
  5. 5.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
  6. 6.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
  7. 7.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  8. 8.🔍 Which is the odd one out? (a) a voice assistant (b) voice typing (c) face unlock on a phone (d) a microwave timer
  9. 9.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) recognising (c) recommending (d) predicting
  10. 10.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
  11. 11.🔍 Which is the odd one out? (a) a printed timetable (b) a spam filter (c) a voice assistant (d) a map predicting traffic
  12. 12.Which of these describes how AI works? (a) one set rule per case (b) uses rules people wrote (c) spots patterns in data (d) does exactly as coded
  13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  14. 14.🏠 AI or not AI: a doorbell? (a) uses AI (b) not AI
  15. 15.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it will turn yellow (d) it may get it wrong
  16. 16.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) an image (b) music or sound (c) text
  17. 17.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
  18. 18.🔍 Which is the odd one out? (a) drawing a new picture (b) drafting a letter (c) unlocking with a face (d) writing quiz questions
  19. 19.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  20. 20.Which of these is not AI? (a) an app translating signs (b) voice typing (c) a voice assistant (d) a light switch
  21. 21.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
  22. 22.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) no, it follows rules (d) only at night
  23. 23.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  24. 24.True or false: “labelled fruit photos” is training data. (a) False (b) True
  25. 25.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) typing a new spoken word (d) what training builds
  26. 26.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
  27. 27.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
  28. 28.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  29. 29.True or false: “a poster of a rainforest” asks for an image. (a) True (b) False
  30. 30.True or false: “past weather records” is the model. (a) True (b) False
  31. 31.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) music or sound (b) text (c) an image
  32. 32.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the price (c) a sticker on a laptop (d) the font size
  33. 33.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
  34. 34.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) predicting (c) drawing (d) singing
  35. 35.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
  36. 36.True or false: “recorded spoken words” is training data. (a) False (b) True
  37. 37.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  38. 38.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
  39. 39.True or false: an online shop showing “you may also like” is AI recommending something. (a) True (b) False
  40. 40.True or false: “a thank-you note to the bus driver” asks for text. (a) True (b) False

Answer key

  1. labelled fruit photos
  2. learn from data
  3. training data
  4. False
  5. not a real check
  6. good for training
  7. one-sided data
  8. a microwave timer
  9. predicting
  10. False
  11. a printed timetable
  12. spots patterns in data
  13. a prediction
  14. not AI
  15. it may get it wrong
  16. music or sound
  17. a simple rule is enough
  18. unlocking with a face
  19. adds to bias
  20. a light switch
  21. a normal program
  22. no, it follows rules
  23. AI
  24. True
  25. 500 labelled leaf photos
  26. needs AI (learning)
  27. makes something new
  28. AI
  29. True
  30. False
  31. an image
  32. the right answer tag
  33. old emails marked spam
  34. predicting
  35. False
  36. True
  37. balanced data
  38. a simple rule is enough
  39. True
  40. True

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