← 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 136 · 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) AI is never wrong (b) AI knows everything (c) long answers are true (d) AI answers need checking
  2. 2.Which of these uses AI? (a) a calculator (b) a digital watch (c) an image generator (d) a torch
  3. 3.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
  4. 4.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
  5. 5.Which of these uses AI? (a) a printed timetable (b) an app translating signs (c) a torch (d) a fan regulator
  6. 6.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  7. 7.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) no, check it anyway (c) yes, if it is long
  8. 8.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
  9. 9.Which of these is not AI? (a) face unlock on a phone (b) a voice assistant (c) an image generator (d) a digital watch
  10. 10.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
  11. 11.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  12. 12.Which of these uses AI? (a) photos grouped by face (b) a doorbell (c) a stopwatch (d) a fan regulator
  13. 13.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  14. 14.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
  15. 15.True or false: sorting names in A to Z order only needs a simple fixed rule. (a) False (b) True
  16. 16.True or false: “five quiz questions on fractions” asks for text. (a) True (b) False
  17. 17.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts
  18. 18.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  19. 19.✨ What does generative AI do? (a) charges batteries (b) only stores files (c) makes new content (d) only adds numbers
  20. 20.True or false: counting the words in an essay needs AI that learns from examples. (a) True (b) False
  21. 21.True or false: “wrong labels” is good for training a model. (a) False (b) True
  22. 22.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
  23. 23.🔍 Which is the odd one out? (a) checking labels twice (b) examples of every type (c) testing on training data (d) new data for testing
  24. 24.Which of these describes how AI works? (a) same steps every time (b) does exactly as coded (c) never learns from data (d) handles unseen examples
  25. 25.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
  26. 26.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) fix wrong labels (d) skip testing
  27. 27.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  28. 28.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) use one group only (d) check who is missing
  29. 29.True or false: “a cartoon of a dancing elephant” asks for an image. (a) False (b) True
  30. 30.True or false: a music app suggesting a song you may like is AI predicting something. (a) True (b) False
  31. 31.🔍 Which is the odd one out? (a) only one kind of example (b) copies of one photo (c) testing on training data (d) examples of every type
  32. 32.True or false: “copies of one photo” is good for training a model. (a) True (b) False
  33. 33.True or false: “follows fixed rules” describes how a normal program works. (a) True (b) False
  34. 34.True or false: a book app suggesting a story like your last one is AI recommending something. (a) False (b) True
  35. 35.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
  36. 36.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
  37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  38. 38.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
  39. 39.🔍 Which is the odd one out? (a) voice typing (b) an app translating signs (c) a digital watch (d) video suggestions
  40. 40.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data

Answer key

  1. AI answers need checking
  2. an image generator
  3. a simple rule is enough
  4. True
  5. an app translating signs
  6. the model
  7. no, check it anyway
  8. spam
  9. a digital watch
  10. True
  11. False
  12. photos grouped by face
  13. one-sided data
  14. AI
  15. True
  16. True
  17. sorts or predicts
  18. a fact
  19. makes new content
  20. False
  21. False
  22. needs AI (learning)
  23. testing on training data
  24. handles unseen examples
  25. not a real check
  26. fix wrong labels
  27. AI
  28. use one group only
  29. True
  30. False
  31. examples of every type
  32. False
  33. True
  34. True
  35. old emails marked spam
  36. True
  37. training data
  38. a myth
  39. a digital watch
  40. balanced data

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