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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 995 · 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.💬 Rule-based or learning chatbot: “fixed replies only”? (a) learning (b) rule-based
  2. 2.✍️ Clear or vague: “Give me some maths.”? (a) clear (b) vague
  3. 3.True or false: a video app suggesting what to watch next is AI predicting something. (a) True (b) False
  4. 4.🧩 “Answer in a table.” This part of a prompt is the… (a) role (b) format (c) task (d) context
  5. 5.🔍 Which is the odd one out? (a) gives an example (b) asks for photos of you (c) asks to keep a secret (d) asks for your address
  6. 6.🗂️ What is the best way to use an AI practice quiz? (a) skip hard ones (b) answer before checking (c) read the answers first (d) copy the answers
  7. 7.⏩ When you use an AI app, which happens first: the answer is shown or the model makes a guess? (a) the answer is shown (b) the model makes a guess
  8. 8.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) test on one group only (d) check who is missing
  9. 9.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  10. 10.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  11. 11.🔁 Learning a hard sum with AI: which should you do first — do one more on your own or ask how to start? (a) do one more on your own (b) ask how to start
  12. 12.📝 Your school says no AI for this essay. What should you do? (a) use it secretly (b) follow the rule (c) copy a friend (d) skip the essay
  13. 13.True or false: “AI always checks facts” is a fact about AI. (a) True (b) False
  14. 14.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
  15. 15.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
  16. 16.📲 Input, model or output: “the part that decides”? (a) the model (b) the input (c) the output
  17. 17.🧩 “Act as a patient science teacher.” This sets the… (a) example (b) role (c) format (d) word limit
  18. 18.🔍 Which is the odd one out? (a) your name and school (b) a grammar doubt (c) your password (d) your school ID number
  19. 19.📏 What kind of constraint is “in 3 sentences or fewer”? (a) a reading level (b) a style or tone (c) what to include (d) a length limit
  20. 20.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
  21. 21.🔒 What can you safely ask an AI chatbot? (a) your bank PIN (b) a science doubt (c) your home address (d) a friend’s phone number
  22. 22.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
  23. 23.✨ What does generative AI do? (a) only adds numbers (b) makes new content (c) charges batteries (d) only stores files
  24. 24.Which of these is a fact about AI? (a) long answers are true (b) AI can mix up numbers (c) AI knows everything (d) AI always checks facts
  25. 25.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
  26. 26.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) sorting photos by face (c) writing quiz questions (d) spotting spam
  27. 27.✍️ Which prompt is clearer?
    A: “Fix it.”
    B: “Check ‘She go to school daily’ for grammar and explain the fix.”
    (a) Prompt A (b) Prompt B
  28. 28.Which of these is stage 1 (try it yourself)? (a) try the sum yourself (b) solve a new one alone (c) ask for one hint (d) ask how to start
  29. 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
  30. 30.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
  31. 31.True or false: a camera app naming the flower you point at is AI recognising something. (a) True (b) False
  32. 32.✍️ Which prompt is clearer?
    A: “Make a checklist of 8 things to pack for a school trip to the hills.”
    B: “Trip list.”
    (a) Prompt A (b) Prompt B
  33. 33.©️ Whose work is it: a picture I drew? (a) someone else’s work (b) my own work
  34. 34.True or false: an online shop showing “you may also like” is AI recommending something. (a) False (b) True
  35. 35.🔍 Which is the odd one out? (a) use unclear slang (b) add your class level (c) split into small asks (d) say what it is for
  36. 36.💬 Rule-based or learning chatbot: “handles new wording”? (a) rule-based (b) learning
  37. 37.✍️ Which prompt is clearer?
    A: “Trip list.”
    B: “Make a checklist of 8 things to pack for a school trip to the hills.”
    (a) Prompt A (b) Prompt B
  38. 38.True or false: “say what it is for” does not make a prompt better. (a) False (b) True
  39. 39.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  40. 40.Which of these is a good source to check against? (a) an encyclopedia (b) the same chatbot again (c) a funny meme (d) a forwarded message

Answer key

  1. rule-based
  2. vague
  3. False
  4. format
  5. gives an example
  6. answer before checking
  7. the model makes a guess
  8. check who is missing
  9. training data
  10. one-sided data
  11. ask how to start
  12. follow the rule
  13. False
  14. needs AI (learning)
  15. recheck every label
  16. the model
  17. role
  18. a grammar doubt
  19. a length limit
  20. paper and examples
  21. a science doubt
  22. to see if it works
  23. makes new content
  24. AI can mix up numbers
  25. old emails marked spam
  26. writing quiz questions
  27. Prompt B
  28. try the sum yourself
  29. 500 labelled leaf photos
  30. makes something new
  31. True
  32. Prompt A
  33. my own work
  34. True
  35. use unclear slang
  36. learning
  37. Prompt B
  38. False
  39. training data
  40. an encyclopedia

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