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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 14 · 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.🪜 What does this prompt ask for? “Break this word problem into small steps.” (a) asks for steps (b) asks only for the answer
  2. 2.🔁 Learning a hard sum with AI: which should you do first — ask for one hint or solve a new one alone? (a) ask for one hint (b) solve a new one alone
  3. 3.True or false: “urges you to click links” is a red flag — stop and tell an adult. (a) True (b) False
  4. 4.🔎 Checking an AI answer: which do you do first — find the same topic or read the AI answer? (a) find the same topic (b) read the AI answer
  5. 5.🧮 Which of these is NOT AI? (a) a basic calculator (b) face unlock (c) a spam filter (d) voice typing
  6. 6.True or false: “in 2 lines only” sets a length limit. (a) True (b) False
  7. 7.💬 Does this request help you learn, or do the work for you? “finish my homework” (a) does it for you (b) helps you learn
  8. 8.True or false: “Summarise this paragraph.” is the role part of a prompt. (a) False (b) True
  9. 9.🧩 Which part of a prompt is this? “Pretend you are a travel guide.” (a) example (b) role (c) task (d) context
  10. 10.True or false: “Give me some maths.” is a clear prompt. (a) True (b) False
  11. 11.🔍 Which is the odd one out? (a) asks for your address (b) suggests practice (c) asks for money (d) asks to keep a secret
  12. 12.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
  13. 13.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
  14. 14.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) fix wrong labels (d) balance the data
  15. 15.🔍 Which is the odd one out? (a) urges you to click links (b) admits it is unsure (c) explains a topic (d) offers a quiz
  16. 16.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  17. 17.True or false: “recorded spoken words” is training data. (a) False (b) True
  18. 18.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) better at its task (d) change colour
  19. 19.True or false: “a cheerful tune for Sports Day” asks for music or sound. (a) False (b) True
  20. 20.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
  21. 21.Which of these is a good source to check against? (a) your school textbook (b) an anonymous post (c) the same chatbot again (d) a forwarded message
  22. 22.Which of these describes how a normal program works? (a) improves with more data (b) gives a likely answer (c) one set rule per case (d) handles unseen examples
  23. 23.Which of these is a fact about AI? (a) AI is never wrong (b) AI learns from data (c) AI has real feelings (d) confident means correct
  24. 24.✔️ An AI chatbot says 16 × 9 = 145. Is that correct or wrong? (a) wrong (b) correct
  25. 25.🔢 How many words are in this prompt?
    “Summarise the phases of the Moon in under 40 words.”
  26. 26.🔁 Learning a hard sum with AI: which should you do first — ask for the steps or solve a new one alone? (a) ask for the steps (b) solve a new one alone
  27. 27.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
  28. 28.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
  29. 29.🗂️ What study help is this prompt asking for? “Explain why ice floats, in simple words.” (a) a summary (b) flashcards (c) an explanation (d) a practice quiz
  30. 30.True or false: asking for feedback on your own essay draft is NOT honest use. (a) False (b) True
  31. 31.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
  32. 32.🔍 Which is the odd one out? (a) a classmate’s drawing (b) a poet’s famous poem (c) my own diary (d) a song on the radio
  33. 33.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
  34. 34.Which of these adds to bias? (a) check who is missing (b) ask different people (c) test on one group only (d) test on many groups
  35. 35.True or false: hiding that a picture was AI-made when the rules say tell is an honest way to use AI for homework. (a) True (b) False
  36. 36.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  37. 37.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) recognising (b) generating (c) recommending (d) predicting
  38. 38.🔁 What is the right order in a simple AI app? (a) input → model → output (b) output → input → model (c) model → output → input
  39. 39.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  40. 40.🔍 Which is the odd one out? (a) inventing a recipe (b) unlocking with a face (c) predicting rain (d) spotting a sick leaf

Answer key

  1. asks for steps
  2. ask for one hint
  3. True
  4. read the AI answer
  5. a basic calculator
  6. True
  7. does it for you
  8. False
  9. role
  10. False
  11. suggests practice
  12. a simple rule is enough
  13. needs AI (learning)
  14. copy old unfair choices
  15. urges you to click links
  16. reduces bias
  17. True
  18. better at its task
  19. True
  20. True
  21. your school textbook
  22. one set rule per case
  23. AI learns from data
  24. wrong
  25. 10
  26. ask for the steps
  27. AI
  28. sorts or predicts
  29. an explanation
  30. False
  31. tag each photo by type
  32. my own diary
  33. choose what to sort
  34. test on one group only
  35. False
  36. False
  37. recommending
  38. input → model → output
  39. one-sided data
  40. inventing a recipe

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