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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 524 · 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.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
  2. 2.Which of these is the model? (a) a photo you upload (b) your typed question (c) the patterns it learned (d) a tune you hum
  3. 3.🧩 Which part of a prompt is this? “Write 5 quiz questions on plants.” (a) format (b) context (c) role (d) task
  4. 4.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) True (b) False
  5. 5.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) balance the data (d) test on one group only
  6. 6.⏩ When you use an AI app, which happens first: the answer is shown or the model finds patterns? (a) the answer is shown (b) the model finds patterns
  7. 7.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) inventing a recipe (c) writing a new poem (d) sorting photos by face
  8. 8.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a password (b) a role (c) a picture (d) a length limit
  9. 9.Which of these uses AI? (a) a kitchen weighing scale (b) a doorbell (c) an AI chatbot (d) a microwave timer
  10. 10.🪜 What does this prompt ask for? “Explain one step at a time why 7 × 8 = 56.” (a) asks for steps (b) asks only for the answer
  11. 11.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) what training builds (d) past weather records
  12. 12.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
  13. 13.🔒 Keep it private or okay to share with an AI chatbot: your name and school? (a) keep it private (b) okay to share
  14. 14.True or false: “AI can mix up numbers” is a fact about AI. (a) False (b) True
  15. 15.🎂 Where can you find an app’s age rule? (a) nowhere (b) in the weather report (c) on its logo (d) its terms or rules page
  16. 16.✍️ Which prompt is clearer?
    A: “Explain photosynthesis to a Class 6 student in 5 short steps.”
    B: “Tell me about plants.”
    (a) Prompt A (b) Prompt B
  17. 17.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
  18. 18.📲 Input, model or output: “your typed question”? (a) the input (b) the output (c) the model
  19. 19.🔍 Which is the odd one out? (a) write it in capitals (b) give an example (c) ask for steps (d) say the format you want
  20. 20.🚩 A study chatbot asks your class level. Is that a red flag? (a) normal (b) a red flag
  21. 21.True or false: “past weather records” is a prediction. (a) True (b) False
  22. 22.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
  23. 23.True or false: pasting its answers into your homework sheet is NOT honest use. (a) True (b) False
  24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
  25. 25.📅 An AI gives a date for a history event. How can you check? (a) guess (b) ask it to repeat (c) look in your textbook (d) pick a lucky number
  26. 26.🗂️ Rohan asks for 11 flashcards with 9 words on each. How many words is that in all?
  27. 27.Which of these says what to include? (a) no hard science words (b) no more than 100 words (c) for a 9-year-old (d) include 2 Indian rivers
  28. 28.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) copy it straight away (c) never do maths (d) ask it to hurry
  29. 29.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
  30. 30.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  31. 31.Which of these is a smart way to study with AI? (a) asking only for answers (b) trusting every summary (c) ask why, not just what (d) copying cards unread
  32. 32.🛠️ Does this make a weak prompt better: add exclamation marks? (a) not a fix (b) a good fix
  33. 33.✍️ Clear or vague: “Give me some maths.”? (a) clear (b) vague
  34. 34.✍️ Which prompt is clearer?
    A: “Make it short.”
    B: “Summarise this paragraph about volcanoes in 3 bullet points for revision.”
    (a) Prompt A (b) Prompt B
  35. 35.🔎 Before sharing a surprising post, which comes first — pause before sharing or share only if true? (a) pause before sharing (b) share only if true
  36. 36.✍️ Which prompt is clearer?
    A: “Tell me about plants.”
    B: “Explain photosynthesis to a Class 6 student in 5 short steps.”
    (a) Prompt A (b) Prompt B
  37. 37.✨ Generative or not: spotting spam? (a) sorts or predicts (b) makes something new
  38. 38.⏩ When you use an AI app, which happens first: the model finds patterns or the reply appears? (a) the model finds patterns (b) the reply appears
  39. 39.🖼️ Warning sign or good sign: blurry, melted text? (a) a good sign (b) a warning sign
  40. 40.✍️ Which prompt is clearer?
    A: “Describe how a bill becomes a law in India in 5 simple steps.”
    B: “Tell me about laws.”
    (a) Prompt A (b) Prompt B

Answer key

  1. 20
  2. the patterns it learned
  3. task
  4. True
  5. balance the data
  6. the model finds patterns
  7. sorting photos by face
  8. a length limit
  9. an AI chatbot
  10. asks for steps
  11. past weather records
  12. not AI
  13. keep it private
  14. True
  15. its terms or rules page
  16. Prompt A
  17. a fact
  18. the input
  19. write it in capitals
  20. normal
  21. False
  22. bad for training
  23. True
  24. a prediction
  25. look in your textbook
  26. 99
  27. include 2 Indian rivers
  28. check it on paper
  29. a prediction
  30. good for training
  31. ask why, not just what
  32. not a fix
  33. vague
  34. Prompt B
  35. pause before sharing
  36. Prompt B
  37. sorts or predicts
  38. the model finds patterns
  39. a warning sign
  40. Prompt A

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