← 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 146 · 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.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) text (c) music or sound
  2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  3. 3.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
  4. 4.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
  5. 5.Which of these uses AI? (a) a calculator (b) a stopwatch (c) a torch (d) face unlock on a phone
  6. 6.🏷️ 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
  7. 7.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  8. 8.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
  9. 9.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  10. 10.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  11. 11.🔍 Which is the odd one out? (a) a torch (b) a light switch (c) a map predicting traffic (d) a calculator
  12. 12.🧮 Which of these is NOT AI? (a) voice typing (b) a spam filter (c) a basic calculator (d) face unlock
  13. 13.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  14. 14.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
  15. 15.Which of these is not AI? (a) an app translating signs (b) a digital watch (c) a map predicting traffic (d) an AI chatbot
  16. 16.📅 An AI gives a date for a history event. How can you check? (a) guess (b) pick a lucky number (c) look in your textbook (d) ask it to repeat
  17. 17.🔍 Which is the odd one out? (a) spotting spam (b) suggesting a video (c) reading number plates (d) creating a cartoon
  18. 18.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
  19. 19.🤖 Who builds and trains AI systems? (a) people (b) the weather (c) the Moon (d) nobody at all
  20. 20.True or false: “a drum beat for a dance” asks for music or sound. (a) False (b) True
  21. 21.🔍 Which is the odd one out? (a) an image generator (b) an app translating signs (c) voice typing (d) a stopwatch
  22. 22.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
  23. 23.True or false: “AI has real feelings” is a myth about AI. (a) False (b) True
  24. 24.True or false: “checking labels twice” is good for training a model. (a) True (b) False
  25. 25.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) recommending (b) generating (c) recognising (d) predicting
  26. 26.Which of these describes how AI works? (a) follows fixed rules (b) same steps every time (c) improves with more data (d) never learns from data
  27. 27.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
  28. 28.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) ignore complaints (d) ask different people
  29. 29.True or false: “test on one group only” adds to bias. (a) False (b) True
  30. 30.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) flagging a new email (d) the trained program
  31. 31.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
  32. 32.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) charging (c) recommending (d) cooking
  33. 33.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  34. 34.Which of these adds to bias? (a) ask different people (b) add varied examples (c) use one group only (d) test on many groups
  35. 35.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) ignore complaints (d) balance the data
  36. 36.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the right answer tag (d) the price
  37. 37.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  38. 38.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
  39. 39.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  40. 40.Which of these is not AI? (a) video suggestions (b) photos grouped by face (c) an AI chatbot (d) a torch

Answer key

  1. text
  2. training data
  3. 500 labelled leaf photos
  4. True
  5. face unlock on a phone
  6. spam
  7. balanced data
  8. a real check
  9. False
  10. one-sided data
  11. a map predicting traffic
  12. a basic calculator
  13. True
  14. not AI
  15. a digital watch
  16. look in your textbook
  17. creating a cartoon
  18. no, check it anyway
  19. people
  20. True
  21. a stopwatch
  22. False
  23. True
  24. True
  25. recommending
  26. improves with more data
  27. a real check
  28. ignore complaints
  29. True
  30. flagging a new email
  31. sorts or predicts
  32. recommending
  33. training data
  34. use one group only
  35. ignore complaints
  36. the right answer tag
  37. AI
  38. a real check
  39. what training builds
  40. a torch

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