← Final test: AI for students lesson New set →

AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 932 · 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 helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
  2. 2.✍️ Which prompt is clearer?
    A: “Give me 10 questions on the 7 times table, with answers at the end.”
    B: “Give me some maths.”
    (a) Prompt A (b) Prompt B
  3. 3.🗂️ What study help is this prompt asking for? “Give me 5 multiple-choice questions on Chapter 4.” (a) a summary (b) an explanation (c) flashcards (d) a practice quiz
  4. 4.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  5. 5.True or false: “the learned patterns” is the model. (a) False (b) True
  6. 6.True or false: having it write your project report word for word is NOT honest use. (a) False (b) True
  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.🪜 An AI shows steps for a sum. What should you do with them? (a) copy them blindly (b) ignore them (c) check each step (d) delete them
  9. 9.©️ Does this need credit: a story you made up? (a) your own work (b) needs credit
  10. 10.©️ Whose work is it: a photo from a website? (a) my own work (b) someone else’s work
  11. 11.True or false: reading your school’s rules on AI is fine to do by yourself. (a) True (b) False
  12. 12.🔍 Which is the odd one out? (a) “explain this step” (b) “write my poem for me” (c) “finish my homework” (d) “write my essay”
  13. 13.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) spotting a sick leaf (c) composing a new tune (d) predicting rain
  14. 14.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) copy old unfair choices (d) check who is missing
  15. 15.Which of these describes how AI works? (a) follows fixed rules (b) one set rule per case (c) gives a likely answer (d) uses rules people wrote
  16. 16.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a password (b) a role (c) a length limit (d) a picture
  17. 17.True or false: “For example: cat → billi” is the example part of a prompt. (a) False (b) True
  18. 18.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) an image (b) music or sound (c) text
  19. 19.True or false: “AI is never wrong” is a myth about AI. (a) False (b) True
  20. 20.Which of these is a warning sign of a fake picture or story? (a) shadows going two ways (b) a known news desk (c) the original photo found (d) fits other reports
  21. 21.📷 The app replies “neem leaf”. That reply is the… (a) input (b) training data (c) output
  22. 22.Which of these is a good source to check against? (a) an anonymous post (b) your teacher (c) a random comment (d) the same chatbot again
  23. 23.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  24. 24.📚 Smart or poor way to study with AI: copying cards unread? (a) poor study (b) smart study
  25. 25.Which of these makes a weak prompt better? (a) type it twice (b) add exclamation marks (c) use unclear slang (d) add a word limit
  26. 26.True or false: “Break this word problem into small steps.” asks the AI to show the steps. (a) True (b) False
  27. 27.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
  28. 28.True or false: an app asking for your date of birth means you should ask a parent or teacher first. (a) True (b) False
  29. 29.True or false: “a photo from a website” is my own work. (a) False (b) True
  30. 30.✨ Generative or not: predicting rain? (a) sorts or predicts (b) makes something new
  31. 31.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) recorded spoken words (d) flagging a new email
  32. 32.Which of these is bad for training a model? (a) new data for testing (b) examples of every type (c) wrong labels (d) checking labels twice
  33. 33.True or false: “Explain one step at a time why 7 × 8 = 56.” asks only for the final answer. (a) False (b) True
  34. 34.True or false: asking it to explain a sum you got wrong is an honest way to use AI for homework. (a) True (b) False
  35. 35.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) generating (b) recommending (c) recognising (d) predicting
  36. 36.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
  37. 37.🔍 Which is the odd one out? (a) a classmate’s drawing (b) a map from an atlas (c) my own diary (d) a poet’s famous poem
  38. 38.🧩 “Act as a patient science teacher.” This sets the… (a) format (b) example (c) role (d) word limit
  39. 39.🏷️ What is a “label” in machine learning? (a) the font size (b) the right answer tag (c) a sticker on a laptop (d) the price
  40. 40.Which of these is good for training a model? (a) labels added at random (b) copies of one photo (c) very few examples (d) examples of every type

Answer key

  1. more varied data
  2. Prompt A
  3. a practice quiz
  4. False
  5. True
  6. True
  7. does it for you
  8. check each step
  9. your own work
  10. someone else’s work
  11. True
  12. “explain this step”
  13. composing a new tune
  14. check who is missing
  15. gives a likely answer
  16. a length limit
  17. True
  18. an image
  19. True
  20. shadows going two ways
  21. output
  22. your teacher
  23. True
  24. poor study
  25. add a word limit
  26. True
  27. to see if it works
  28. True
  29. False
  30. sorts or predicts
  31. flagging a new email
  32. wrong labels
  33. False
  34. True
  35. generating
  36. False
  37. my own diary
  38. role
  39. the right answer tag
  40. examples of every type

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students