← 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 496 · 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.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
  2. 2.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
  3. 3.Which of these is a fact about AI? (a) AI always checks facts (b) long answers are true (c) AI can make up facts (d) AI is never wrong
  4. 4.Which of these is bad for training a model? (a) correct labels (b) many varied examples (c) only one kind of example (d) clear, sharp examples
  5. 5.True or false: “flagging a new email” is training data. (a) True (b) False
  6. 6.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it is smart (c) no, it follows rules (d) yes, it can think
  7. 7.Which of these helps reduce bias? (a) add varied examples (b) use one group only (c) ignore complaints (d) test on one group only
  8. 8.True or false: “long answers are true” is a myth about AI. (a) False (b) True
  9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
  10. 10.True or false: “typing a new spoken word” is training data. (a) False (b) True
  11. 11.✨ Generative or not: spotting spam? (a) sorts or predicts (b) makes something new
  12. 12.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) True (b) False
  13. 13.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  14. 14.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  15. 15.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  16. 16.True or false: “use one group only” helps reduce bias. (a) False (b) True
  17. 17.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
  18. 18.True or false: “flagging a new email” is a prediction. (a) True (b) False
  19. 19.Which of these is training data? (a) what training builds (b) recorded spoken words (c) tomorrow’s rain guess (d) flagging a new email
  20. 20.🔍 Which is the odd one out? (a) AI is never wrong (b) AI always checks facts (c) AI can be wrong (d) AI knows everything
  21. 21.True or false: “many varied examples” is good for training a model. (a) True (b) False
  22. 22.True or false: “labelled fruit photos” is training data. (a) False (b) True
  23. 23.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
  24. 24.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
  25. 25.True or false: “correct labels” is good for training a model. (a) True (b) False
  26. 26.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) trust the AI (c) trust the textbook (d) stop studying
  27. 27.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
  28. 28.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  29. 29.Which of these is not AI? (a) face unlock on a phone (b) a voice assistant (c) a torch (d) photos grouped by face
  30. 30.📱 What is the AI doing here: turning your spoken words into typed text? (a) recognising (b) generating (c) recommending (d) predicting
  31. 31.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recognising (b) predicting (c) recommending (d) generating
  32. 32.Which of these adds to bias? (a) test on one group only (b) fix wrong labels (c) test on many groups (d) ask different people
  33. 33.True or false: a car camera reading a speed sign is AI recognising something. (a) True (b) False
  34. 34.Which of these describes how a normal program works? (a) follows fixed rules (b) improves with more data (c) learns from examples (d) gives a likely answer
  35. 35.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
  36. 36.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a password (c) a hallucination (d) a backup
  37. 37.🔍 Which is the odd one out? (a) writing a new poem (b) making up a story (c) drafting a letter (d) suggesting a video
  38. 38.🔍 Which is the odd one out? (a) spotting spam (b) writing a new poem (c) reading number plates (d) spotting a sick leaf
  39. 39.True or false: “five quiz questions on fractions” asks for music or sound. (a) False (b) True
  40. 40.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction

Answer key

  1. a real check
  2. a normal program
  3. AI can make up facts
  4. only one kind of example
  5. False
  6. no, it follows rules
  7. add varied examples
  8. True
  9. a prediction
  10. False
  11. sorts or predicts
  12. True
  13. True
  14. labelled fruit photos
  15. True
  16. False
  17. to see if it works
  18. True
  19. recorded spoken words
  20. AI can be wrong
  21. True
  22. True
  23. AI
  24. True
  25. True
  26. trust the textbook
  27. a real check
  28. True
  29. a torch
  30. recognising
  31. recognising
  32. test on one group only
  33. True
  34. follows fixed rules
  35. not AI
  36. a hallucination
  37. suggesting a video
  38. writing a new poem
  39. False
  40. a prediction

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