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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 62 · 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.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
  2. 2.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) text (b) an image (c) music or sound
  3. 3.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
  4. 4.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  5. 5.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) the trained program (d) tomorrow’s rain guess
  6. 6.📖 Is this a good source to check an AI answer against: a science museum site? (a) a good source (b) not a good source
  7. 7.True or false: a car camera reading a speed sign is AI recognising something. (a) True (b) False
  8. 8.📏 “Explain in simple words for a 10-year-old.” This sets the… (a) page number (b) font colour (c) battery level (d) reading level
  9. 9.©️ Does this need credit: a photo from a website in your slides? (a) your own work (b) needs credit
  10. 10.📱 What is the AI doing here: a camera app naming the flower you point at? (a) generating (b) recognising (c) predicting (d) recommending
  11. 11.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  12. 12.🔎 Checking an AI answer: which do you do first — read the AI answer or open your textbook? (a) read the AI answer (b) open your textbook
  13. 13.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
  14. 14.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) printing (d) recommending
  15. 15.True or false: an online shop showing “you may also like” is AI predicting something. (a) True (b) False
  16. 16.True or false: “Explain why the sky looks blue in under 60 words for a 10-year-old.” is a vague prompt. (a) True (b) False
  17. 17.🗂️ An AI flashcard has a wrong fact. What should you do? (a) throw all cards away (b) ignore it (c) learn it anyway (d) correct the card
  18. 18.🔍 Which is the odd one out? (a) wrong labels (b) photos in many lights (c) only one kind of example (d) labels added at random
  19. 19.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  20. 20.🔒 What happens to what you type into many AI apps? (a) it becomes secret (b) it may be stored (c) it turns into music (d) it vanishes forever
  21. 21.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
  22. 22.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it has a screen (c) it is always right (d) it uses electricity
  23. 23.📲 Input, model or output: “the translated text”? (a) the input (b) the model (c) the output
  24. 24.🗂️ What study help is this prompt asking for? “Explain why ice floats, in simple words.” (a) a summary (b) a practice quiz (c) flashcards (d) an explanation
  25. 25.🧐 Fact or myth: “AI always checks facts”? (a) a fact (b) a myth
  26. 26.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
  27. 27.©️ Whose work is it: a clay model I built? (a) my own work (b) someone else’s work
  28. 28.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) composing a new tune (c) turning speech to text (d) predicting rain
  29. 29.🔎 Checking an AI answer: which do you do first — match every number or open your textbook? (a) match every number (b) open your textbook
  30. 30.🗂️ An AI made you a summary. What should you do next? (a) share it as yours (b) delete the book (c) learn it blindly (d) check it with the book
  31. 31.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  32. 32.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  33. 33.©️ Does this need credit: a poem you wrote yourself? (a) your own work (b) needs credit
  34. 34.Which of these is stage 3 (practise alone)? (a) attempt it on paper (b) ask for the steps (c) ask for one hint (d) solve a new one alone
  35. 35.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
  36. 36.📋 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
  37. 37.©️ Whose work is it: a cartoon from a comic? (a) my own work (b) someone else’s work
  38. 38.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
  39. 39.🔍 Which is the odd one out? (a) “where did I go wrong?” (b) “make practice sums” (c) “explain this step” (d) “answer all 10 sums”
  40. 40.🔍 Which is the odd one out? (a) checking labels twice (b) copies of one photo (c) correct labels (d) examples of every type

Answer key

  1. a myth
  2. music or sound
  3. a simple rule is enough
  4. False
  5. tomorrow’s rain guess
  6. a good source
  7. True
  8. reading level
  9. needs credit
  10. recognising
  11. True
  12. read the AI answer
  13. False
  14. recommending
  15. False
  16. False
  17. correct the card
  18. photos in many lights
  19. the learned patterns
  20. it may be stored
  21. more varied data
  22. it learns from examples
  23. the output
  24. an explanation
  25. a myth
  26. no, it can be wrong
  27. my own work
  28. composing a new tune
  29. open your textbook
  30. check it with the book
  31. one-sided data
  32. AI
  33. your own work
  34. solve a new one alone
  35. the model
  36. tag each photo by type
  37. someone else’s work
  38. True
  39. “answer all 10 sums”
  40. copies of one photo

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