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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 552 · 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.🎯 Ishaan’s bird-song app was tested on 10 new bird songs and got 8 right. What is its accuracy in percent?
  2. 2.True or false: turning your spoken words into typed text is AI recognising something. (a) False (b) True
  3. 3.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) better at its task (d) change colour
  4. 4.🔍 Which is the odd one out? (a) a science question (b) a photo of your friend (c) your password (d) your name and school
  5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  6. 6.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
  7. 7.Which of these makes a weak prompt better? (a) add exclamation marks (b) write it in capitals (c) name the exact topic (d) add unrelated details
  8. 8.🖼️ Warning sign or good sign: matches the textbook? (a) a good sign (b) a warning sign
  9. 9.🔍 Which is the odd one out? (a) a history question (b) a science question (c) a topic for a quiz (d) your phone number
  10. 10.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
  11. 11.True or false: “wrong labels” is good for training a model. (a) False (b) True
  12. 12.Which of these is a warning sign of a fake picture or story? (a) a named author (b) “share before it’s gone” (c) fits other reports (d) many trusted sources
  13. 13.True or false: “urges you to click links” is normal for a study chatbot. (a) False (b) True
  14. 14.Which of these is a warning sign of a fake picture or story? (a) fits other reports (b) many trusted sources (c) blurry, melted text (d) a named author
  15. 15.🤖 Who builds and trains AI systems? (a) the weather (b) nobody at all (c) the Moon (d) people
  16. 16.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  17. 17.True or false: “Turn these 10 words into question-and-answer cards.” is asking for flashcards. (a) False (b) True
  18. 18.🧩 Which part of a prompt is this? “I have a test on Friday.” (a) task (b) context (c) example (d) format
  19. 19.Which of these describes how a normal program works? (a) one set rule per case (b) learns from examples (c) spots patterns in data (d) handles unseen examples
  20. 20.True or false: “gives an example” is normal for a study chatbot. (a) True (b) False
  21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  22. 22.📏 Why add a constraint to a prompt? (a) to waste time (b) to hide the task (c) to get what you need (d) to make AI angry
  23. 23.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
  24. 24.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
  25. 25.🔎 Checking an AI answer: which do you do first — underline each fact or find the same topic? (a) underline each fact (b) find the same topic
  26. 26.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
  27. 27.🗂️ An AI flashcard has a wrong fact. What should you do? (a) throw all cards away (b) correct the card (c) ignore it (d) learn it anyway
  28. 28.True or false: “labelled fruit photos” is training data. (a) False (b) True
  29. 29.True or false: “Tell me the area, no explanation.” asks the AI to show the steps. (a) True (b) False
  30. 30.🔒 Keep it private or okay to share with an AI chatbot: your password? (a) okay to share (b) keep it private
  31. 31.🔍 Which is the odd one out? (a) predicting rain (b) making up a story (c) turning speech to text (d) spotting a sick leaf
  32. 32.True or false: “include 2 Indian rivers” says what to include. (a) True (b) False
  33. 33.Which of these is a poor way to study with AI? (a) mix AI and real practice (b) short study sessions (c) answer before peeking (d) last-night cramming
  34. 34.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a picture (b) a password (c) a length limit (d) a role
  35. 35.©️ Can you sell copies of someone else’s comic? (a) yes, if you colour it (b) not without permission (c) yes, any time
  36. 36.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
  37. 37.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
  38. 38.True or false: getting it to solve every sum without trying is NOT honest use. (a) True (b) False
  39. 39.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
  40. 40.©️ Whose work is it: a chart from the news? (a) someone else’s work (b) my own work

Answer key

  1. 80
  2. True
  3. better at its task
  4. a science question
  5. the model
  6. data, model, prediction
  7. name the exact topic
  8. a good sign
  9. your phone number
  10. test on new photos
  11. False
  12. “share before it’s gone”
  13. False
  14. blurry, melted text
  15. people
  16. AI
  17. True
  18. context
  19. one set rule per case
  20. True
  21. the model
  22. to get what you need
  23. True
  24. pick a question to solve
  25. underline each fact
  26. not AI
  27. correct the card
  28. True
  29. False
  30. keep it private
  31. making up a story
  32. True
  33. last-night cramming
  34. a length limit
  35. not without permission
  36. not a real check
  37. makes something new
  38. True
  39. set aside test photos
  40. someone else’s work

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