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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 613 · 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.🔍 Which is the odd one out? (a) composing a new tune (b) inventing a recipe (c) creating a cartoon (d) sorting photos by face
  2. 2.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
  3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
  4. 4.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
  5. 5.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) people (d) nobody at all
  6. 6.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
  7. 7.©️ Who owns the copyright of a song? (a) the radio (b) anyone who hears it (c) nobody at all (d) the person who made it
  8. 8.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) change colour (d) forget everything
  9. 9.🧩 Why add an example to a prompt? (a) to make it longer (b) to show the style (c) to hide the task (d) to confuse the AI
  10. 10.True or false: “List 3 causes of floods in simple words, one line each.” is a vague prompt. (a) False (b) True
  11. 11.Which of these is the output? (a) a tune you hum (b) the generated picture (c) the trained AI part (d) a drawing you make
  12. 12.📖 An AI chatbot gives a quote and a source. What should you do? (a) delete your notes (b) check the source is real (c) copy it straight away (d) add more quotes
  13. 13.🎂 A friend says, “Just tick that you are older.” What should you do? (a) be honest (b) use a fake name (c) share a password (d) tick it
  14. 14.📲 Input, model or output: “the part that decides”? (a) the model (b) the input (c) the output
  15. 15.True or false: “write it in capitals” makes a weak prompt better. (a) False (b) True
  16. 16.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  17. 17.True or false: asking for feedback on your own essay draft is an honest way to use AI for homework. (a) True (b) False
  18. 18.Which of these requests helps you learn? (a) “finish my homework” (b) “write my diary entry” (c) “write my poem for me” (d) “check my draft”
  19. 19.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) flagging a new email (d) recorded spoken words
  20. 20.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) examples of every type (d) wrong labels
  21. 21.🧩 “Explain volcanoes.” Which part would make it clear who it is for? (a) a random emoji (b) more capitals (c) context (d) a password
  22. 22.True or false: a diagram from an online encyclopedia needs credit (say where it came from). (a) True (b) False
  23. 23.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
  24. 24.📰 A post says, “Share before it gets deleted!” This is… (a) a good sign (b) a fact check (c) a source (d) a warning sign
  25. 25.🔍 Which is the odd one out? (a) an image generator (b) a fan regulator (c) face unlock on a phone (d) an app translating signs
  26. 26.📲 Input, model or output: “a drawing you make”? (a) the model (b) the output (c) the input
  27. 27.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
  28. 28.Which of these is bad for training a model? (a) clear, sharp examples (b) testing on training data (c) many varied examples (d) correct labels
  29. 29.🔍 Which is the odd one out? (a) labels added at random (b) wrong labels (c) copies of one photo (d) correct labels
  30. 30.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
  31. 31.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.🛠️ Does this make a weak prompt better: name the exact topic? (a) a good fix (b) not a fix
  33. 33.📏 What kind of constraint is “in a formal tone”? (a) what to include (b) a style or tone (c) a length limit (d) a reading level
  34. 34.🧮 An AI chatbot says 12 × 7 = 83. Check it yourself: what is 12 × 7?
  35. 35.Which of these is a fact about AI? (a) AI knows everything (b) AI has real feelings (c) AI copies data patterns (d) confident means correct
  36. 36.🔍 Which is the odd one out? (a) making up a story (b) predicting rain (c) writing quiz questions (d) inventing a recipe
  37. 37.Which of these is a fact about AI? (a) confident means correct (b) long answers are true (c) AI learns from data (d) AI always checks facts
  38. 38.True or false: “say the format you want” makes a weak prompt better. (a) False (b) True
  39. 39.📝 Meera’s prompt must stay within 150 words. Meera has written 110 words so far. How many more words can be added?
  40. 40.🛠️ Which is the improved prompt?
    A: “What is a noun?”
    B: “Explain what a noun is with 3 examples from a school day.”
    (a) Prompt A (b) Prompt B

Answer key

  1. sorting photos by face
  2. not spam
  3. more labelled examples
  4. data, model, prediction
  5. people
  6. 50
  7. the person who made it
  8. better at its task
  9. to show the style
  10. False
  11. the generated picture
  12. check the source is real
  13. be honest
  14. the model
  15. False
  16. balanced data
  17. True
  18. “check my draft”
  19. recorded spoken words
  20. examples of every type
  21. context
  22. True
  23. False
  24. a warning sign
  25. a fan regulator
  26. the input
  27. needs AI (learning)
  28. testing on training data
  29. correct labels
  30. not a real check
  31. False
  32. a good fix
  33. a style or tone
  34. 84
  35. AI copies data patterns
  36. predicting rain
  37. AI learns from data
  38. True
  39. 40
  40. Prompt B

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