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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 990 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
  2. 2.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) False (b) True
  3. 3.True or false: “it uses big words” is a real way to check an AI answer. (a) False (b) True
  4. 4.🔍 Which is the odd one out? (a) drafting a letter (b) spotting spam (c) suggesting a video (d) reading number plates
  5. 5.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  6. 6.🔍 Which is the odd one out? (a) a voice assistant (b) a kitchen weighing scale (c) a light switch (d) a calculator
  7. 7.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
  8. 8.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
  9. 9.True or false: a shop guessing how many umbrellas will sell is AI generating something new. (a) False (b) True
  10. 10.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  11. 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  12. 12.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
  13. 13.🔍 Which is the odd one out? (a) making up a story (b) unlocking with a face (c) predicting rain (d) reading number plates
  14. 14.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  15. 15.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
  16. 16.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a basic calculator (d) a spam filter
  17. 17.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) True (b) False
  18. 18.Which of these is not AI? (a) an image generator (b) a torch (c) video suggestions (d) an app translating signs
  19. 19.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) copies one website (c) asks a person (d) uses magic
  20. 20.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
  21. 21.🔍 Which is the odd one out? (a) a printed timetable (b) voice typing (c) a fan regulator (d) a digital watch
  22. 22.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) False (b) True
  23. 23.📱 What is the AI doing here: a video app suggesting what to watch next? (a) generating (b) predicting (c) recommending (d) recognising
  24. 24.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
  25. 25.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  26. 26.💬 What do we call the request you type to a generative AI? (a) a battery (b) a password (c) a prompt (d) a label
  27. 27.True or false: “add more of the same” adds to bias. (a) True (b) False
  28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  29. 29.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
  30. 30.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) an image (b) music or sound (c) text
  31. 31.True or false: “checking labels twice” is good for training a model. (a) True (b) False
  32. 32.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recognising (b) recommending (c) generating (d) predicting
  33. 33.Which of these is bad for training a model? (a) photos in many lights (b) only one kind of example (c) clear, sharp examples (d) many varied examples
  34. 34.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
  35. 35.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) typing a new spoken word (d) old emails marked spam
  36. 36.Which of these is training data? (a) old emails marked spam (b) naming a new fruit photo (c) the trained program (d) typing a new spoken word
  37. 37.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  38. 38.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
  39. 39.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) only one kind of example (d) new data for testing
  40. 40.📱 What is the AI doing here: a keyboard guessing your next word? (a) generating (b) recommending (c) predicting (d) recognising

Answer key

  1. a prediction
  2. False
  3. False
  4. drafting a letter
  5. the trained program
  6. a voice assistant
  7. False
  8. to see if it works
  9. False
  10. balanced data
  11. training data
  12. True
  13. making up a story
  14. one-sided data
  15. no
  16. a basic calculator
  17. True
  18. a torch
  19. predicts likely words
  20. uses AI
  21. voice typing
  22. False
  23. recommending
  24. a fact
  25. reduces bias
  26. a prompt
  27. True
  28. training data
  29. past weather records
  30. an image
  31. True
  32. predicting
  33. only one kind of example
  34. uses AI
  35. typing a new spoken word
  36. old emails marked spam
  37. False
  38. True
  39. new data for testing
  40. predicting

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