← 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 817 · 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.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  2. 2.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
  3. 3.True or false: an AI tool making a brand-new tune is AI generating something new. (a) False (b) True
  4. 4.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
  5. 5.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  6. 6.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
  7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
  8. 8.✍️ How does an AI chatbot write its replies? (a) uses magic (b) asks a person (c) copies one website (d) predicts likely words
  9. 9.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
  10. 10.Which of these is generative AI (it makes something new)? (a) reading number plates (b) spotting spam (c) predicting rain (d) writing a new poem
  11. 11.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
  12. 12.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  13. 13.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  14. 14.True or false: “skip testing” adds to bias. (a) False (b) True
  15. 15.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  16. 16.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
  17. 17.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  18. 18.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  19. 19.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recommending (b) generating (c) predicting (d) recognising
  20. 20.True or false: “the trained program” is the model. (a) True (b) False
  21. 21.Which of these is good for training a model? (a) labels added at random (b) photos in many lights (c) blurry, unclear photos (d) wrong labels
  22. 22.Which of these is generative AI (it makes something new)? (a) drafting a letter (b) sorting photos by face (c) spotting spam (d) suggesting a video
  23. 23.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) add more of the same (d) check who is missing
  24. 24.Which of these uses AI? (a) a digital watch (b) a map predicting traffic (c) a printed timetable (d) a stopwatch
  25. 25.Which of these describes how AI works? (a) follows fixed rules (b) uses rules people wrote (c) spots patterns in data (d) same steps every time
  26. 26.🎨 An image generator makes a picture from… (a) a text description (b) your password (c) the weather (d) a phone number
  27. 27.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  28. 28.True or false: “AI can be wrong” is a myth about AI. (a) False (b) True
  29. 29.True or false: “AI knows everything” is a fact about AI. (a) True (b) False
  30. 30.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
  31. 31.Which of these is a fact about AI? (a) AI has real feelings (b) AI always checks facts (c) confident means correct (d) AI answers need checking
  32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
  33. 33.🔍 Which is the odd one out? (a) AI is never wrong (b) AI copies data patterns (c) AI always checks facts (d) confident means correct
  34. 34.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
  35. 35.🔍 Which is the odd one out? (a) a digital watch (b) a torch (c) voice typing (d) a calculator
  36. 36.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) guess (c) ask it to repeat (d) pick a lucky number
  37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  38. 38.True or false: “old emails marked spam” is the model. (a) False (b) True
  39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
  40. 40.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) False (b) True

Answer key

  1. a prediction
  2. AI
  3. True
  4. data, model, prediction
  5. good for training
  6. a simple rule is enough
  7. spam
  8. predicts likely words
  9. False
  10. writing a new poem
  11. True
  12. False
  13. False
  14. True
  15. a normal program
  16. a fact
  17. a fact
  18. one-sided data
  19. predicting
  20. True
  21. photos in many lights
  22. drafting a letter
  23. check who is missing
  24. a map predicting traffic
  25. spots patterns in data
  26. a text description
  27. training data
  28. False
  29. False
  30. few child voices in data
  31. AI answers need checking
  32. spam
  33. AI copies data patterns
  34. a normal program
  35. voice typing
  36. look in your textbook
  37. training data
  38. False
  39. not spam
  40. True

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