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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 791 · 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.True or false: “My class just learned fractions.” is the role part of a prompt. (a) False (b) True
  2. 2.🪜 What does this prompt ask for? “Solve 3x + 5 = 20 step by step.” (a) asks for steps (b) asks only for the answer
  3. 3.Which of these is someone else’s work (credit it)? (a) a poem I wrote (b) a clay model I built (c) my own diary (d) a classmate’s drawing
  4. 4.🎂 A friend says, “Just tick that you are older.” What should you do? (a) use a fake name (b) tick it (c) share a password (d) be honest
  5. 5.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
  6. 6.Which of these describes how a normal program works? (a) handles unseen examples (b) does exactly as coded (c) improves with more data (d) learns from examples
  7. 7.✨ What does generative AI do? (a) only adds numbers (b) only stores files (c) charges batteries (d) makes new content
  8. 8.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
  9. 9.Which of these describes how a normal program works? (a) improves with more data (b) spots patterns in data (c) handles unseen examples (d) same steps every time
  10. 10.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  11. 11.🧩 Which part of a prompt is this? “Style like: Roses are red…” (a) format (b) task (c) example (d) context
  12. 12.True or false: “Check ‘She go to school daily’ for grammar and explain the fix.” is a vague prompt. (a) True (b) False
  13. 13.Which of these is generative AI (it makes something new)? (a) writing a new poem (b) suggesting a video (c) predicting rain (d) turning speech to text
  14. 14.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
  15. 15.🔍 Which is the odd one out? (a) too good to be true (b) blurry, melted text (c) a named author (d) “share before it’s gone”
  16. 16.🛠️ Which is the improved prompt?
    A: “Project ideas?”
    B: “Suggest 3 project ideas on saving electricity at home that cost under ₹100.”
    (a) Prompt A (b) Prompt B
  17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  18. 18.True or false: “Explain fractions to a Class 4 student using a pizza example.” is a vague prompt. (a) False (b) True
  19. 19.🔍 Which is the odd one out? (a) a known news desk (b) a background that bends (c) a clear date (d) fits other reports
  20. 20.🔍 Which is the odd one out? (a) name the exact topic (b) make it vaguer (c) add a word limit (d) give an example
  21. 21.📱 What is the AI doing here: a camera app naming the flower you point at? (a) predicting (b) recommending (c) generating (d) recognising
  22. 22.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) add varied examples (d) copy old unfair choices
  23. 23.True or false: “a story idea” is okay to share with an AI chatbot. (a) True (b) False
  24. 24.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, always (c) yes, if it is long
  25. 25.✍️ Clear or vague: “Describe how a bill becomes a law in India in 5 simple steps.”? (a) clear (b) vague
  26. 26.📦 Meera collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  27. 27.True or false: “gets better with data” describes a learning chatbot. (a) False (b) True
  28. 28.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) a list of rules only (d) one single photo
  29. 29.True or false: a poem you wrote yourself needs credit (say where it came from). (a) False (b) True
  30. 30.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it has a screen (c) it uses electricity (d) it learns from examples
  31. 31.Which of these is a good sign (but still check)? (a) many trusted sources (b) shadows going two ways (c) too good to be true (d) blurry, melted text
  32. 32.Which of these is a smart way to study with AI? (a) copying cards unread (b) asking only for answers (c) last-night cramming (d) short study sessions
  33. 33.🧩 “Answer in a table.” This part of a prompt is the… (a) context (b) role (c) task (d) format
  34. 34.📝 Honest use or copying: getting ideas, then writing in your own words? (a) not honest (b) honest use
  35. 35.True or false: “I am in Class 6.” is the context part of a prompt. (a) False (b) True
  36. 36.🔒 Keep it private or okay to share with an AI chatbot: a story idea? (a) okay to share (b) keep it private
  37. 37.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  39. 39.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
  40. 40.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data

Answer key

  1. False
  2. asks for steps
  3. a classmate’s drawing
  4. be honest
  5. a simple rule is enough
  6. does exactly as coded
  7. makes new content
  8. False
  9. same steps every time
  10. a normal program
  11. example
  12. False
  13. writing a new poem
  14. a fact
  15. a named author
  16. Prompt B
  17. training data
  18. False
  19. a background that bends
  20. make it vaguer
  21. recognising
  22. add varied examples
  23. True
  24. no, check it anyway
  25. clear
  26. 32
  27. True
  28. many labelled photos
  29. False
  30. it learns from examples
  31. many trusted sources
  32. short study sessions
  33. format
  34. honest use
  35. True
  36. okay to share
  37. 500 labelled leaf photos
  38. training data
  39. AI
  40. data, model, prediction

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