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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 238 · 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.🎂 Many AI apps have a minimum age in their rules. What should you do? (a) lie about your age (b) check it with a parent (c) make a fake account (d) ignore it
  2. 2.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
  3. 3.⏩ When you use an AI app, which happens first: the model finds patterns or you upload a photo? (a) the model finds patterns (b) you upload a photo
  4. 4.🔒 Can you upload a photo of your friend to an AI app? (a) no, never (b) yes, if it is funny (c) yes, any time
  5. 5.🛠️ “Write about animals.” What would improve this prompt most? (a) make it shorter (b) write it in capitals (c) name animal and format (d) add exclamation marks
  6. 6.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
  7. 7.True or false: “gives an example” is a red flag — stop and tell an adult. (a) False (b) True
  8. 8.📏 What kind of constraint is “in very simple words”? (a) a reading level (b) a length limit (c) a style or tone (d) what to include
  9. 9.Which of these is generative AI (it makes something new)? (a) predicting rain (b) composing a new tune (c) unlocking with a face (d) sorting photos by face
  10. 10.True or false: “I have a test on Friday.” is the context part of a prompt. (a) False (b) True
  11. 11.True or false: “Give me 10 questions on the 7 times table, with answers at the end.” is a vague prompt. (a) True (b) False
  12. 12.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) wrong labels (d) new data for testing
  13. 13.📝 Meera’s prompt must stay within 80 words. Meera has written 28 words so far. How many more words can be added?
  14. 14.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) 500 labelled leaf photos (d) naming a new fruit photo
  15. 15.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) spotting a sick leaf (c) making up a story (d) composing a new tune
  16. 16.🛠️ Does this make a weak prompt better: name the exact topic? (a) a good fix (b) not a fix
  17. 17.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
  18. 18.🚩 A study chatbot asks your class level. Is that a red flag? (a) normal (b) a red flag
  19. 19.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  20. 20.✍️ Clear or vague: “Sky colour?”? (a) vague (b) clear
  21. 21.🔍 Which is the odd one out? (a) a clay model I built (b) a photo from a website (c) a map from an atlas (d) a chart from the news
  22. 22.🧩 Which part of a prompt is this? “Act as a friendly maths tutor.” (a) example (b) task (c) role (d) format
  23. 23.🗂️ An AI flashcard has a wrong fact. What should you do? (a) throw all cards away (b) correct the card (c) learn it anyway (d) ignore it
  24. 24.🔎 Checking an AI answer: which do you do first — correct the mistakes or find the same topic? (a) correct the mistakes (b) find the same topic
  25. 25.Which of these is the input? (a) the translated text (b) the typed reply (c) a tune you hum (d) the trained AI part
  26. 26.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
  27. 27.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
  28. 28.🔍 Which is the odd one out? (a) your password (b) a word you don’t know (c) a one-time password (d) a bank card number
  29. 29.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  30. 30.True or false: “Act as a friendly maths tutor.” is the role part of a prompt. (a) False (b) True
  31. 31.©️ Can you sell copies of someone else’s comic? (a) yes, any time (b) yes, if you colour it (c) not without permission
  32. 32.True or false: “Give a numbered list.” is the context part of a prompt. (a) False (b) True
  33. 33.🪜 Why ask an AI chatbot to show the steps? (a) to learn the method (b) to make it slower (c) to get a longer answer (d) to copy faster
  34. 34.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) text (b) music or sound (c) an image
  35. 35.📏 What kind of constraint is “in under 50 words”? (a) a reading level (b) what to include (c) a style or tone (d) a length limit
  36. 36.True or false: “Make cards with a term on one side, its meaning on the other.” is asking for an explanation. (a) False (b) True
  37. 37.🖼️ Which sign can show a picture was AI-made? (a) a named photographer (b) a clear caption (c) six fingers on a hand (d) a calm sky
  38. 38.True or false: “Make 8 cards on the parts of a flower.” is asking for a summary. (a) False (b) True
  39. 39.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  40. 40.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns

Answer key

  1. check it with a parent
  2. not a real check
  3. you upload a photo
  4. no, never
  5. name animal and format
  6. a real check
  7. False
  8. a reading level
  9. composing a new tune
  10. True
  11. False
  12. new data for testing
  13. 52
  14. naming a new fruit photo
  15. spotting a sick leaf
  16. a good fix
  17. needs AI (learning)
  18. normal
  19. a normal program
  20. vague
  21. a clay model I built
  22. role
  23. correct the card
  24. find the same topic
  25. a tune you hum
  26. let it learn patterns
  27. few child voices in data
  28. a word you don’t know
  29. False
  30. True
  31. not without permission
  32. False
  33. to learn the method
  34. text
  35. a length limit
  36. False
  37. six fingers on a hand
  38. False
  39. a real check
  40. it learns patterns

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