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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 126 · 40 questions
TalentJR

AI tip (Know it, prompt it, check it): Find the topic: what AI is, prompts, honest use, checking, privacy, age rules, fakes, credit, study, apps or projects. Use that lesson’s rule and read every option before you choose. For number questions, write the calculation first: words over = written − limit, accuracy = correct ÷ total × 100.

NameDateTime takenScore ___ / 40
  1. 1.🔎 Checking an AI answer: which do you do first — open your textbook or read the AI answer? (a) open your textbook (b) read the AI answer
  2. 2.True or false: “Explain fractions to a Class 4 student using a pizza example.” is a clear prompt. (a) True (b) False
  3. 3.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  4. 4.True or false: “a photo of your friend” is okay to share with an AI chatbot. (a) True (b) False
  5. 5.True or false: “Weather?” is a vague prompt. (a) True (b) False
  6. 6.⏩ When you use an AI app, which happens first: the model finds patterns or the answer is shown? (a) the model finds patterns (b) the answer is shown
  7. 7.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
  8. 8.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) children speak too fast (d) it was a rainy day
  9. 9.🔍 Which is the odd one out? (a) “solve my test paper” (b) “quiz me on Chapter 3” (c) “make practice sums” (d) “give me a hint”
  10. 10.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) drawing (c) singing (d) sleeping
  11. 11.True or false: the request “do my worksheet” helps you learn. (a) True (b) False
  12. 12.🔍 Which is the odd one out? (a) a photo I took (b) a map from an atlas (c) a tune I made up (d) my own survey results
  13. 13.True or false: “Give 5 English words that rhyme with ‘cat’, suitable for Class 2.” is a clear prompt. (a) True (b) False
  14. 14.Which of these adds to bias? (a) balance the data (b) use one group only (c) test on many groups (d) check who is missing
  15. 15.🪜 Before asking AI for steps on homework, you should first… (a) copy a friend (b) give up (c) try it yourself (d) ask for the answer
  16. 16.🔍 Which is the odd one out? (a) AI learns from data (b) AI can make up facts (c) AI answers need checking (d) AI knows everything
  17. 17.©️ Does this need credit: a photo from a website in your slides? (a) your own work (b) needs credit
  18. 18.🪜 What does this prompt ask for? “Give me just the answers to all 10 sums.” (a) asks only for the answer (b) asks for steps
  19. 19.🔍 Which is the odd one out? (a) composing a new tune (b) making up a story (c) inventing a recipe (d) suggesting a video
  20. 20.🚩 A study chatbot gives an example. Is that a red flag? (a) normal (b) a red flag
  21. 21.True or false: “List 3 causes of floods in simple words, one line each.” is a vague prompt. (a) False (b) True
  22. 22.©️ Does this need credit: a picture made with an image generator in your project? (a) needs credit (b) your own work
  23. 23.True or false: making practice questions to test yourself is an honest way to use AI for homework. (a) False (b) True
  24. 24.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
  25. 25.Which of these is the model? (a) what training builds (b) naming a new fruit photo (c) past weather records (d) tomorrow’s rain guess
  26. 26.Which of these describes how a normal program works? (a) gives a likely answer (b) makes a best guess (c) improves with more data (d) one set rule per case
  27. 27.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  28. 28.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  29. 29.©️ Whose work is it: a map from an atlas? (a) my own work (b) someone else’s work
  30. 30.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recognising (b) generating (c) recommending (d) predicting
  31. 31.📷 The app replies “neem leaf”. That reply is the… (a) output (b) input (c) training data
  32. 32.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
  33. 33.Which of these is bad for training a model? (a) correct labels (b) examples of every type (c) copies of one photo (d) new data for testing
  34. 34.✍️ Which prompt is clearer?
    A: “Translate.”
    B: “Translate ‘Where is the library?’ into Hindi and show how to say it.”
    (a) Prompt A (b) Prompt B
  35. 35.🔍 Which is the odd one out? (a) “write my poem for me” (b) “check my draft” (c) “give me a hint” (d) “quiz me on Chapter 3”
  36. 36.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
  37. 37.Which of these helps reduce bias? (a) ask different people (b) use one group only (c) skip testing (d) add more of the same
  38. 38.✍️ Which prompt is clearer?
    A: “Why floods?”
    B: “List 3 causes of floods in simple words, one line each.”
    (a) Prompt A (b) Prompt B
  39. 39.🪜 What does this prompt ask for? “Break this word problem into small steps.” (a) asks for steps (b) asks only for the answer
  40. 40.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) its colour (d) the weather

Answer key

  1. read the AI answer
  2. True
  3. AI
  4. False
  5. True
  6. the model finds patterns
  7. True
  8. few child voices in data
  9. “solve my test paper”
  10. predicting
  11. False
  12. a map from an atlas
  13. True
  14. use one group only
  15. try it yourself
  16. AI knows everything
  17. needs credit
  18. asks only for the answer
  19. suggesting a video
  20. normal
  21. False
  22. needs credit
  23. True
  24. uses AI
  25. what training builds
  26. one set rule per case
  27. good for training
  28. AI
  29. someone else’s work
  30. recommending
  31. output
  32. recheck every label
  33. copies of one photo
  34. Prompt B
  35. “write my poem for me”
  36. a prediction
  37. ask different people
  38. Prompt B
  39. asks for steps
  40. its training data

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