← 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 171 · 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.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
  2. 2.🔍 Which is the odd one out? (a) long answers are true (b) AI can make up facts (c) AI copies data patterns (d) AI answers need checking
  3. 3.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  6. 6.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  7. 7.True or false: “test on many groups” adds to bias. (a) True (b) False
  8. 8.True or false: recognising a bird from its song needs AI that learns from examples. (a) False (b) True
  9. 9.🔍 Which is the odd one out? (a) reading number plates (b) sorting photos by face (c) spotting spam (d) making up a story
  10. 10.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
  11. 11.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  12. 12.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
  13. 13.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  14. 14.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  15. 15.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  16. 16.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
  17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
  18. 18.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  19. 19.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
  20. 20.Which of these is bad for training a model? (a) labels added at random (b) correct labels (c) examples of every type (d) clear, sharp examples
  21. 21.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
  22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
  23. 23.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
  24. 24.Which of these describes how AI works? (a) same steps every time (b) makes a best guess (c) does exactly as coded (d) never learns from data
  25. 25.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) music or sound (c) an image
  26. 26.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  27. 27.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
  28. 28.True or false: a car camera reading a speed sign is AI recognising something. (a) True (b) False
  29. 29.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
  30. 30.Which of these is not AI? (a) video suggestions (b) voice typing (c) a doorbell (d) an AI chatbot
  31. 31.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) balance the data (d) ask different people
  32. 32.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
  33. 33.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  34. 34.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) True (b) False
  35. 35.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
  36. 36.True or false: “labelled fruit photos” is training data. (a) False (b) True
  37. 37.True or false: “checking labels twice” is good for training a model. (a) True (b) False
  38. 38.Which of these describes how a normal program works? (a) handles unseen examples (b) learns from examples (c) improves with more data (d) follows fixed rules
  39. 39.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
  40. 40.Which of these describes how AI works? (a) does exactly as coded (b) never learns from data (c) handles unseen examples (d) uses rules people wrote

Answer key

  1. AI
  2. long answers are true
  3. one-sided data
  4. a prediction
  5. training data
  6. good for training
  7. False
  8. True
  9. making up a story
  10. False
  11. a normal program
  12. makes something new
  13. a prediction
  14. AI
  15. makes something new
  16. False
  17. training data
  18. reduces bias
  19. not a real check
  20. labels added at random
  21. False
  22. spam
  23. a simple rule is enough
  24. makes a best guess
  25. an image
  26. needs AI (learning)
  27. uses AI
  28. True
  29. a fact
  30. a doorbell
  31. use one group only
  32. True
  33. adds to bias
  34. False
  35. False
  36. True
  37. True
  38. follows fixed rules
  39. False
  40. handles unseen examples

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