← 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 775 · 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 video app suggests what to watch next. What is the AI doing? (a) recommending (b) cooking (c) charging (d) printing
  2. 2.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
  3. 3.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
  4. 4.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) balance the data (d) skip testing
  5. 5.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
  6. 6.Which of these is training data? (a) past weather records (b) flagging a new email (c) the trained program (d) what training builds
  7. 7.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
  8. 8.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
  9. 9.True or false: “match it to the textbook” is a real way to check an AI answer. (a) True (b) False
  10. 10.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
  11. 11.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
  12. 12.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
  13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
  14. 14.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it has a screen (c) it uses electricity (d) it is always right
  15. 15.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
  16. 16.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
  17. 17.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
  18. 18.Which of these is a fact about AI? (a) AI always checks facts (b) AI learns from data (c) confident means correct (d) long answers are true
  19. 19.🔍 Which is the odd one out? (a) making up a story (b) writing quiz questions (c) spotting spam (d) drafting a letter
  20. 20.🔍 Which is the odd one out? (a) face unlock on a phone (b) a calculator (c) voice typing (d) photos grouped by face
  21. 21.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
  22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  23. 23.🧮 Which of these is NOT AI? (a) a basic calculator (b) face unlock (c) a spam filter (d) voice typing
  24. 24.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
  25. 25.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
  26. 26.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
  27. 27.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) predicting rain (c) composing a new tune (d) reading number plates
  28. 28.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
  29. 29.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  30. 30.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) copy old unfair choices (d) add varied examples
  31. 31.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  32. 32.🏠 AI or not AI: an AI chatbot? (a) uses AI (b) not AI
  33. 33.🏠 AI or not AI: a calculator? (a) not AI (b) uses AI
  34. 34.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) text (b) music or sound (c) an image
  35. 35.Which of these is bad for training a model? (a) new data for testing (b) examples of every type (c) correct labels (d) very few examples
  36. 36.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
  37. 37.🔍 Which is the odd one out? (a) AI knows everything (b) AI can mix up numbers (c) AI answers need checking (d) AI can make up facts
  38. 38.🔍 Which is the odd one out? (a) long answers are true (b) AI has real feelings (c) AI always checks facts (d) AI can mix up numbers
  39. 39.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
  40. 40.🏠 AI or not AI: a torch? (a) uses AI (b) not AI

Answer key

  1. recommending
  2. good for training
  3. False
  4. balance the data
  5. not AI
  6. past weather records
  7. a simple rule is enough
  8. not spam
  9. True
  10. False
  11. False
  12. to see if it works
  13. a prediction
  14. it learns from examples
  15. bias from data
  16. a normal program
  17. needs AI (learning)
  18. AI learns from data
  19. spotting spam
  20. a calculator
  21. needs AI (learning)
  22. a prediction
  23. a basic calculator
  24. True
  25. a simple rule is enough
  26. True
  27. composing a new tune
  28. no, check it anyway
  29. AI
  30. copy old unfair choices
  31. a fact
  32. uses AI
  33. not AI
  34. text
  35. very few examples
  36. makes something new
  37. AI knows everything
  38. AI can mix up numbers
  39. False
  40. not AI

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