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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 818 · 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) AI copies data patterns (b) AI learns from data (c) AI can be wrong (d) AI is never wrong
  2. 2.🚩 A study chatbot gives an example. Is that a red flag? (a) a red flag (b) normal
  3. 3.🎂 Ask an adult first, or fine to do yourself: an app asking for your location? (a) ask an adult first (b) fine to do yourself
  4. 4.🔍 Which is the odd one out? (a) “solve my test paper” (b) “make practice sums” (c) “write my poem for me” (d) “do my worksheet”
  5. 5.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
  6. 6.🖼️ Warning sign or good sign: a known news desk? (a) a warning sign (b) a good sign
  7. 7.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) correct labels (d) only one kind of example
  8. 8.🎯 Kabir’s leaf identifier is 90% accurate. If it is tested on 10 new leaf photos, how many should it get right?
  9. 9.Which of these describes how a normal program works? (a) improves with more data (b) spots patterns in data (c) makes a best guess (d) one set rule per case
  10. 10.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
  11. 11.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
  12. 12.True or false: “Skip the working, what is 7 × 8?” asks only for the final answer. (a) False (b) True
  13. 13.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) test on many groups (d) fix wrong labels
  14. 14.True or false: “Why floods?” is a clear prompt. (a) True (b) False
  15. 15.🔍 Which is the odd one out? (a) a voice assistant (b) photos grouped by face (c) an app translating signs (d) a torch
  16. 16.Which of these is a prediction? (a) naming a new leaf (b) recorded spoken words (c) past weather records (d) what training builds
  17. 17.🔍 Which is the odd one out? (a) AI can be wrong (b) AI can mix up numbers (c) long answers are true (d) AI learns from data
  18. 18.Which of these is a smart way to study with AI? (a) trusting every summary (b) answer before peeking (c) reading answers only (d) last-night cramming
  19. 19.📖 Is this a good source to check an AI answer against: the same chatbot again? (a) a good source (b) not a good source
  20. 20.True or false: an app asking for your date of birth means you should ask a parent or teacher first. (a) False (b) True
  21. 21.🔍 Which is the odd one out? (a) type it twice (b) add lots of emojis (c) say the format you want (d) make it vaguer
  22. 22.🧮 An AI chatbot says 14 × 9 = 136. Check it yourself: what is 14 × 9?
  23. 23.True or false: “correct labels” is good for training a model. (a) False (b) True
  24. 24.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
  25. 25.Which of these is okay to share with an AI chatbot? (a) a story idea (b) your phone number (c) your password (d) a friend’s secret
  26. 26.🪜 Before asking AI for steps on homework, you should first… (a) give up (b) ask for the answer (c) copy a friend (d) try it yourself
  27. 27.🔍 Which is the odd one out? (a) add your class level (b) leave out the topic (c) name the exact topic (d) add a word limit
  28. 28.📏 What kind of constraint is “with one example”? (a) a style or tone (b) a length limit (c) what to include (d) a reading level
  29. 29.True or false: “a song on the radio” is my own work. (a) True (b) False
  30. 30.✨ What does generative AI do? (a) charges batteries (b) only adds numbers (c) makes new content (d) only stores files
  31. 31.💬 Does this request help you learn, or do the work for you? “write my essay” (a) does it for you (b) helps you learn
  32. 32.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
  33. 33.Which of these describes how a normal program works? (a) learns from examples (b) does exactly as coded (c) gives a likely answer (d) improves with more data
  34. 34.True or false: “Sample: Q: 4 × 2? A: 8” is the context part of a prompt. (a) False (b) True
  35. 35.🔒 Keep it private or okay to share with an AI chatbot: a grammar doubt? (a) keep it private (b) okay to share
  36. 36.True or false: a classmate’s idea you used is your own work (no credit needed). (a) False (b) True
  37. 37.©️ Whose work is it: a photo from a website? (a) someone else’s work (b) my own work
  38. 38.True or false: “ask for steps” does not make a prompt better. (a) False (b) True
  39. 39.True or false: turning your spoken words into typed text is AI recommending something. (a) True (b) False
  40. 40.Which of these is a poor way to study with AI? (a) short study sessions (b) asking only for answers (c) answer before peeking (d) make your own cards too

Answer key

  1. AI is never wrong
  2. normal
  3. ask an adult first
  4. “make practice sums”
  5. data, model, prediction
  6. a good sign
  7. correct labels
  8. 9
  9. one set rule per case
  10. old emails marked spam
  11. bad for training
  12. True
  13. ignore complaints
  14. False
  15. a torch
  16. naming a new leaf
  17. long answers are true
  18. answer before peeking
  19. not a good source
  20. True
  21. say the format you want
  22. 126
  23. True
  24. no, check it anyway
  25. a story idea
  26. try it yourself
  27. leave out the topic
  28. what to include
  29. False
  30. makes new content
  31. does it for you
  32. bias from data
  33. does exactly as coded
  34. False
  35. okay to share
  36. False
  37. someone else’s work
  38. False
  39. False
  40. asking only for answers

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