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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 319 · 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.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) check who is missing (d) balance the data
  2. 2.🔒 Keep it private or okay to share with an AI chatbot: a maths sum to explain? (a) keep it private (b) okay to share
  3. 3.Which of these does not make a prompt better? (a) add a word limit (b) leave out the topic (c) say the format you want (d) add your class level
  4. 4.Which of these is not AI? (a) video suggestions (b) a map predicting traffic (c) a torch (d) photos grouped by face
  5. 5.🗂️ Ishaan asks for 11 flashcards with 9 words on each. How many words is that in all?
  6. 6.📷 In a plant-spotting app, your leaf photo is the… (a) output (b) input (c) model
  7. 7.Which of these requests helps you learn? (a) “quiz me on Chapter 3” (b) “answer all 10 sums” (c) “write my poem for me” (d) “write my project”
  8. 8.✍️ Which prompt is clearer?
    A: “Translate ‘Where is the library?’ into Hindi and show how to say it.”
    B: “Translate.”
    (a) Prompt A (b) Prompt B
  9. 9.Which of these is the model? (a) flagging a new email (b) what training builds (c) typing a new spoken word (d) naming a new leaf
  10. 10.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) recognising (c) recommending (d) generating
  11. 11.Which of these is a smart way to study with AI? (a) reading answers only (b) skipping the textbook (c) redo wrong questions (d) asking only for answers
  12. 12.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  13. 13.Which of these describes how AI works? (a) handles unseen examples (b) uses rules people wrote (c) same steps every time (d) does exactly as coded
  14. 14.True or false: “give an example” makes a weak prompt better. (a) True (b) False
  15. 15.True or false: “my own survey results” is someone else’s work (credit it). (a) True (b) False
  16. 16.Which of these is a good sign (but still check)? (a) calm, factual words (b) a background that bends (c) six fingers on a hand (d) “share before it’s gone”
  17. 17.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  18. 18.True or false: “Explain one step at a time why 7 × 8 = 56.” asks the AI to show the steps. (a) False (b) True
  19. 19.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
  20. 20.True or false: “says not to tell parents” is a red flag — stop and tell an adult. (a) False (b) True
  21. 21.Which of these is a myth about AI? (a) AI can make up facts (b) AI can mix up numbers (c) AI is never wrong (d) AI learns from data
  22. 22.🔍 Which is the odd one out? (a) a quote from a book (b) a photo from a website (c) a story I made up (d) a map from an atlas
  23. 23.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  24. 24.🔒 Keep it private or okay to share with an AI chatbot: your password? (a) okay to share (b) keep it private
  25. 25.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) testing on training data (d) many varied examples
  26. 26.🧩 Which part of a prompt is this? “Explain how rainbows form.” (a) format (b) task (c) role (d) context
  27. 27.📚 Smart or poor way to study with AI: never checking mistakes? (a) poor study (b) smart study
  28. 28.✨ What does generative AI do? (a) charges batteries (b) only stores files (c) only adds numbers (d) makes new content
  29. 29.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) the trained program (d) naming a new leaf
  30. 30.Which of these uses AI? (a) a stopwatch (b) a digital watch (c) a microwave timer (d) photos grouped by face
  31. 31.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a password (b) a role (c) a picture (d) a length limit
  32. 32.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
  33. 33.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  34. 34.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
  35. 35.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) use one group only (d) ask different people
  36. 36.💬 Does this request help you learn, or do the work for you? “write my diary entry” (a) does it for you (b) helps you learn
  37. 37.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) asks a person (c) uses magic (d) copies one website
  38. 38.📖 The AI answer and your textbook disagree. What should you do? (a) skip the question (b) pick at random (c) trust the AI (d) ask your teacher
  39. 39.True or false: “Show each step of 456 ÷ 4.” asks only for the final answer. (a) True (b) False
  40. 40.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True

Answer key

  1. use one group only
  2. okay to share
  3. leave out the topic
  4. a torch
  5. 99
  6. input
  7. “quiz me on Chapter 3”
  8. Prompt A
  9. what training builds
  10. recommending
  11. redo wrong questions
  12. True
  13. handles unseen examples
  14. True
  15. False
  16. calm, factual words
  17. one-sided data
  18. True
  19. past weather records
  20. True
  21. AI is never wrong
  22. a story I made up
  23. work out the accuracy
  24. keep it private
  25. many varied examples
  26. task
  27. poor study
  28. makes new content
  29. naming a new leaf
  30. photos grouped by face
  31. a length limit
  32. uses AI
  33. reduces bias
  34. a fact
  35. ask different people
  36. does it for you
  37. predicts likely words
  38. ask your teacher
  39. False
  40. True

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