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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 581 · 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.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) printing (c) cooking (d) recommending
  2. 2.✨ Generative or not: unlocking with a face? (a) sorts or predicts (b) makes something new
  3. 3.📚 Smart or poor way to study with AI: asking only for answers? (a) smart study (b) poor study
  4. 4.Which of these is a smart way to study with AI? (a) trusting every summary (b) check summaries in books (c) skipping the textbook (d) never checking mistakes
  5. 5.💬 Rule-based or learning chatbot: “uses if-then rules”? (a) rule-based (b) learning
  6. 6.💬 Rule-based or learning chatbot: “fixed replies only”? (a) learning (b) rule-based
  7. 7.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  8. 8.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) test on one group only (d) ignore complaints
  9. 9.🔍 Which is the odd one out? (a) “explain it more simply” (b) “do my worksheet” (c) “quiz me on Chapter 3” (d) “explain this step”
  10. 10.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  11. 11.🔁 What is the right order in a simple AI app? (a) output → input → model (b) input → model → output (c) model → output → input
  12. 12.❌ Saanvi’s bird-song app was tested on 36 new bird songs and got 32 right. How many did it get wrong?
  13. 13.Which of these helps reduce bias? (a) copy old unfair choices (b) add varied examples (c) skip testing (d) use one group only
  14. 14.True or false: “every reply hand-written” describes a rule-based chatbot. (a) False (b) True
  15. 15.🔎 Checking an AI answer: which do you do first — correct the mistakes or compare the facts? (a) correct the mistakes (b) compare the facts
  16. 16.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
  17. 17.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
  18. 18.🔍 Which is the odd one out? (a) writing a new poem (b) making up a story (c) drawing a new picture (d) unlocking with a face
  19. 19.🔍 Which is the odd one out? (a) explains a topic (b) asks to keep a secret (c) asks for your address (d) asks for money
  20. 20.📝 You used AI to get ideas for a project. What is honest? (a) say it is all yours (b) say how you used it (c) hide it (d) blame the AI
  21. 21.Which of these is stage 2 (ask for help)? (a) try a similar sum alone (b) try the sum yourself (c) ask for the steps (d) have a go on your own
  22. 22.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
  23. 23.Which of these is NOT a good source to check against? (a) a forwarded message (b) an encyclopedia (c) a science museum site (d) a government website
  24. 24.🖼️ Warning sign or good sign: a named author? (a) a good sign (b) a warning sign
  25. 25.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
  26. 26.📝 Honest use or copying: handing in an essay it wrote as your own? (a) honest use (b) not honest
  27. 27.🖼️ Warning sign or good sign: six fingers on a hand? (a) a good sign (b) a warning sign
  28. 28.True or false: “Check ‘She go to school daily’ for grammar and explain the fix.” is a clear prompt. (a) False (b) True
  29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
  30. 30.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
  31. 31.🔎 Checking an AI answer: which do you do first — correct the mistakes or match every number? (a) correct the mistakes (b) match every number
  32. 32.🔎 Checking an AI answer: which do you do first — find the same topic or correct the mistakes? (a) find the same topic (b) correct the mistakes
  33. 33.🎯 Vihaan’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
  34. 34.Which of these is a smart way to study with AI? (a) ask why, not just what (b) never checking mistakes (c) reading answers only (d) asking it to do homework
  35. 35.True or false: “Sample: Q: 4 × 2? A: 8” is the example part of a prompt. (a) False (b) True
  36. 36.True or false: “your phone number” is okay to share with an AI chatbot. (a) False (b) True
  37. 37.True or false: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
  38. 38.True or false: “no more than 100 words” says what to include. (a) False (b) True
  39. 39.©️ Does this need credit: a poet’s famous line in your speech? (a) needs credit (b) your own work
  40. 40.Which of these is a good sign (but still check)? (a) no date or author (b) fits other reports (c) no trusted source (d) shadows going two ways

Answer key

  1. recommending
  2. sorts or predicts
  3. poor study
  4. check summaries in books
  5. rule-based
  6. rule-based
  7. False
  8. test on many groups
  9. “do my worksheet”
  10. a normal program
  11. input → model → output
  12. 4
  13. add varied examples
  14. True
  15. compare the facts
  16. data, model, prediction
  17. bad for training
  18. unlocking with a face
  19. explains a topic
  20. say how you used it
  21. ask for the steps
  22. a normal program
  23. a forwarded message
  24. a good sign
  25. 100
  26. not honest
  27. a warning sign
  28. True
  29. spam
  30. sorts or predicts
  31. match every number
  32. find the same topic
  33. 28
  34. ask why, not just what
  35. True
  36. False
  37. True
  38. False
  39. needs credit
  40. fits other reports

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