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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 389 · 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.🔎 Before sharing a surprising post, which comes first — notice your feelings or share only if true? (a) notice your feelings (b) share only if true
  2. 2.🗂️ An AI made you a summary. What should you do next? (a) check it with the book (b) learn it blindly (c) delete the book (d) share it as yours
  3. 3.Which of these is bad for training a model? (a) new data for testing (b) checking labels twice (c) very few examples (d) correct labels
  4. 4.🔍 Which is the odd one out? (a) “write my essay” (b) “define ‘orbit’ for me” (c) “check my draft” (d) “make practice sums”
  5. 5.True or false: “Give me 5 multiple-choice questions on Chapter 4.” is asking for a summary. (a) True (b) False
  6. 6.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) ignore complaints (d) balance the data
  7. 7.True or false: “AI learns from data” is a fact about AI. (a) False (b) True
  8. 8.Which of these is good for training a model? (a) copies of one photo (b) labels added at random (c) clear, sharp examples (d) blurry, unclear photos
  9. 9.🖼️ Which sign can show a picture was AI-made? (a) a calm sky (b) a clear caption (c) a named photographer (d) six fingers on a hand
  10. 10.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  11. 11.🎂 Ask an adult first, or fine to do yourself: an app asking for your date of birth? (a) fine to do yourself (b) ask an adult first
  12. 12.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
  13. 13.✍️ Clear or vague: “Make it short.”? (a) clear (b) vague
  14. 14.©️ Whose work is it: a photo I took? (a) someone else’s work (b) my own work
  15. 15.True or false: “Like this: 2 + 3 = 5” is the task part of a prompt. (a) True (b) False
  16. 16.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) use one group only (d) test on one group only
  17. 17.🔒 An AI chatbot asks for your home address. What should you do? (a) give a friend’s (b) share half of it (c) share it quickly (d) say no, tell an adult
  18. 18.📏 What kind of constraint is “for a 9-year-old”? (a) what to include (b) a style or tone (c) a length limit (d) a reading level
  19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
  20. 20.🪜 What does this prompt ask for? “Final answer only for question 7.” (a) asks only for the answer (b) asks for steps
  21. 21.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  22. 22.✍️ Clear or vague: “List 3 causes of floods in simple words, one line each.”? (a) clear (b) vague
  23. 23.True or false: the request “explain this step” helps you learn. (a) False (b) True
  24. 24.🤖 What does AI stand for? (a) artificial intelligence (b) automatic internet (c) app installer (d) actual information
  25. 25.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
  26. 26.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
  27. 27.Which of these is the model? (a) past weather records (b) naming a new fruit photo (c) the trained program (d) recorded spoken words
  28. 28.📲 Input, model or output: “the predicted word”? (a) the output (b) the input (c) the model
  29. 29.🔍 Which is the odd one out? (a) no date or author (b) “share before it’s gone” (c) mismatched earrings (d) many trusted sources
  30. 30.📝 Honest use or copying: asking it to explain a sum you got wrong? (a) not honest (b) honest use
  31. 31.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) True (b) False
  32. 32.Which of these is a fact about AI? (a) confident means correct (b) AI learns from data (c) long answers are true (d) AI is never wrong
  33. 33.True or false: “learns from examples” describes a rule-based chatbot. (a) True (b) False
  34. 34.⏩ When you use an AI app, which happens first: you upload a photo or the model makes a guess? (a) you upload a photo (b) the model makes a guess
  35. 35.🪜 What does this prompt ask for? “Answer only: what is x if 3x + 5 = 20?” (a) asks only for the answer (b) asks for steps
  36. 36.📖 Is this a good source to check an AI answer against: an encyclopedia? (a) a good source (b) not a good source
  37. 37.Which of these is a good sign (but still check)? (a) six fingers on a hand (b) the original photo found (c) no trusted source (d) no date or author
  38. 38.Which of these is bad for training a model? (a) many varied examples (b) examples of every type (c) only one kind of example (d) new data for testing
  39. 39.✨ Generative or not: sorting photos by face? (a) makes something new (b) sorts or predicts
  40. 40.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) spotting a sick leaf (c) suggesting a video (d) writing quiz questions

Answer key

  1. notice your feelings
  2. check it with the book
  3. very few examples
  4. “write my essay”
  5. False
  6. balance the data
  7. True
  8. clear, sharp examples
  9. six fingers on a hand
  10. good for training
  11. ask an adult first
  12. it learns patterns
  13. vague
  14. my own work
  15. False
  16. test on many groups
  17. say no, tell an adult
  18. a reading level
  19. not spam
  20. asks only for the answer
  21. makes something new
  22. clear
  23. True
  24. artificial intelligence
  25. data, model, prediction
  26. tag each photo by type
  27. the trained program
  28. the output
  29. many trusted sources
  30. honest use
  31. True
  32. AI learns from data
  33. False
  34. you upload a photo
  35. asks only for the answer
  36. a good source
  37. the original photo found
  38. only one kind of example
  39. sorts or predicts
  40. writing quiz questions

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