← 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 279 · 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) spotting spam (b) suggesting a video (c) reading number plates (d) creating a cartoon
  2. 2.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
  3. 3.True or false: “use one group only” adds to bias. (a) True (b) False
  4. 4.🤖 What does AI stand for? (a) actual information (b) app installer (c) artificial intelligence (d) automatic internet
  5. 5.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) singing (c) sleeping (d) predicting
  6. 6.Which of these is good for training a model? (a) many varied examples (b) only one kind of example (c) wrong labels (d) testing on training data
  7. 7.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
  8. 8.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  9. 9.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) look in your textbook (c) ask it to repeat (d) guess
  10. 10.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI can make up facts (c) AI can be wrong (d) confident means correct
  11. 11.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  12. 12.Which of these is good for training a model? (a) labels added at random (b) copies of one photo (c) testing on training data (d) new data for testing
  13. 13.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
  14. 14.✨ What does generative AI do? (a) makes new content (b) only stores files (c) charges batteries (d) only adds numbers
  15. 15.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a broken screen (d) a fair model
  16. 16.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
  17. 17.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
  18. 18.🔍 Which is the odd one out? (a) a doorbell (b) a digital watch (c) a light switch (d) video suggestions
  19. 19.True or false: “five quiz questions on fractions” asks for text. (a) False (b) True
  20. 20.Which of these is the model? (a) 500 labelled leaf photos (b) what training builds (c) old emails marked spam (d) naming a new leaf
  21. 21.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  22. 22.Which of these describes how AI works? (a) does exactly as coded (b) same steps every time (c) improves with more data (d) follows fixed rules
  23. 23.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  24. 24.Which of these is good for training a model? (a) blurry, unclear photos (b) correct labels (c) wrong labels (d) very few examples
  25. 25.True or false: “match it to the textbook” is a real way to check an AI answer. (a) True (b) False
  26. 26.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
  27. 27.Which of these is not AI? (a) a map predicting traffic (b) face unlock on a phone (c) an AI chatbot (d) a doorbell
  28. 28.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
  29. 29.🔍 Which is the odd one out? (a) AI learns from data (b) AI can be wrong (c) AI is never wrong (d) AI can make up facts
  30. 30.True or false: “correct labels” is good for training a model. (a) False (b) True
  31. 31.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it can think (c) yes, it is smart (d) no, it follows rules
  32. 32.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
  33. 33.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) recommending (c) charging (d) printing
  34. 34.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it is always right (c) it has a screen (d) it uses electricity
  35. 35.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
  36. 36.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
  37. 37.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) voice typing (d) a spam filter
  38. 38.📱 What is the AI doing here: a keyboard guessing your next word? (a) generating (b) predicting (c) recognising (d) recommending
  39. 39.🔍 Which is the odd one out? (a) composing a new tune (b) unlocking with a face (c) inventing a recipe (d) writing a new poem
  40. 40.True or false: “AI copies data patterns” is a fact about AI. (a) True (b) False

Answer key

  1. creating a cartoon
  2. data, model, prediction
  3. True
  4. artificial intelligence
  5. predicting
  6. many varied examples
  7. few child voices in data
  8. reduces bias
  9. look in your textbook
  10. confident means correct
  11. adds to bias
  12. new data for testing
  13. a simple rule is enough
  14. makes new content
  15. bias from data
  16. a myth
  17. True
  18. video suggestions
  19. True
  20. what training builds
  21. makes something new
  22. improves with more data
  23. the learned patterns
  24. correct labels
  25. True
  26. True
  27. a doorbell
  28. what training builds
  29. AI is never wrong
  30. True
  31. no, it follows rules
  32. bad for training
  33. recommending
  34. it learns from examples
  35. a simple rule is enough
  36. its training data
  37. a basic calculator
  38. predicting
  39. unlocking with a face
  40. True

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