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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 48 · 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.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it may get it wrong (c) it will turn yellow (d) it will shut down
  2. 2.📄 A chapter has 600 words. Nisha asks an AI chatbot for a summary one tenth as long. How many words should the summary have?
  3. 3.📏 What kind of constraint is “in one short paragraph”? (a) a length limit (b) a reading level (c) a style or tone (d) what to include
  4. 4.Which of these should be kept private — never share it with an AI chatbot? (a) your spelling list (b) a maths sum to explain (c) a story idea (d) your live location
  5. 5.✍️ Which prompt is clearer?
    A: “Check ‘She go to school daily’ for grammar and explain the fix.”
    B: “Fix it.”
    (a) Prompt A (b) Prompt B
  6. 6.🗂️ Diya asks for 6 flashcards with 8 words on each. How many words is that in all?
  7. 7.📰 Before you share a shocking news post, you should… (a) check trusted sources (b) share it fast (c) forward to all (d) add more emojis
  8. 8.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
  9. 9.True or false: “what training builds” is the model. (a) False (b) True
  10. 10.🛠️ Does this make a weak prompt better: add your class level? (a) a good fix (b) not a fix
  11. 11.✍️ Which prompt is clearer?
    A: “Write a message.”
    B: “Write a polite 3-line message asking my teacher for extra practice sheets.”
    (a) Prompt A (b) Prompt B
  12. 12.True or false: “My class just learned fractions.” is the role part of a prompt. (a) True (b) False
  13. 13.📖 Is this a good source to check an AI answer against: an encyclopedia? (a) not a good source (b) a good source
  14. 14.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) labelled fruit photos (d) flagging a new email
  15. 15.🛠️ Which is the improved prompt?
    A: “Explain how a seed grows into a plant in 5 numbered steps for Class 4.”
    B: “How do seeds grow?”
    (a) Prompt A (b) Prompt B
  16. 16.©️ Does this need credit: a classmate’s idea you used? (a) needs credit (b) your own work
  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.🔍 Which is the odd one out? (a) an app translating signs (b) voice typing (c) a torch (d) a spam filter
  19. 19.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) no, it follows rules (c) yes, it can think (d) only at night
  20. 20.True or false: “Trip list.” is a vague prompt. (a) False (b) True
  21. 21.🗂️ What is the best way to use an AI practice quiz? (a) read the answers first (b) skip hard ones (c) answer before checking (d) copy the answers
  22. 22.True or false: “Solve 3x + 5 = 20 step by step.” asks only for the final answer. (a) True (b) False
  23. 23.Which of these is bad for training a model? (a) correct labels (b) examples of every type (c) clear, sharp examples (d) testing on training data
  24. 24.🪜 What does this prompt ask for? “Break this word problem into small steps.” (a) asks for steps (b) asks only for the answer
  25. 25.🪜 What does this prompt ask for? “List the steps to make a paper boat.” (a) asks for steps (b) asks only for the answer
  26. 26.🎨 An image generator makes a picture from… (a) your password (b) a text description (c) a phone number (d) the weather
  27. 27.⏩ When you use an AI app, which happens first: the label “cat” shows or the model finds patterns? (a) the label “cat” shows (b) the model finds patterns
  28. 28.🔁 Learning a hard sum with AI: which should you do first — do one more on your own or ask for one hint? (a) do one more on your own (b) ask for one hint
  29. 29.🔎 Before sharing a surprising post, which comes first — report it if fake or look at the source? (a) report it if fake (b) look at the source
  30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  31. 31.🔍 Which is the odd one out? (a) photos in many lights (b) copies of one photo (c) clear, sharp examples (d) correct labels
  32. 32.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
  33. 33.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) skip testing (d) check who is missing
  34. 34.📏 What kind of constraint is “in a funny way”? (a) a style or tone (b) a reading level (c) what to include (d) a length limit
  35. 35.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
  36. 36.🔁 Learning a hard sum with AI: which should you do first — try the sum yourself or ask for the steps? (a) try the sum yourself (b) ask for the steps
  37. 37.📏 Tara wants a 120-word answer split into 3 equal points. How many words should each point have?
  38. 38.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) spotting a sick leaf (c) reading number plates (d) making up a story
  39. 39.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) a sticker on a laptop (d) the right answer tag
  40. 40.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts

Answer key

  1. it may get it wrong
  2. 60
  3. a length limit
  4. your live location
  5. Prompt A
  6. 48
  7. check trusted sources
  8. to see if it works
  9. True
  10. a good fix
  11. Prompt B
  12. False
  13. a good source
  14. flagging a new email
  15. Prompt A
  16. needs credit
  17. needs AI (learning)
  18. a torch
  19. no, it follows rules
  20. True
  21. answer before checking
  22. False
  23. testing on training data
  24. asks for steps
  25. asks for steps
  26. a text description
  27. the model finds patterns
  28. ask for one hint
  29. look at the source
  30. the model
  31. copies of one photo
  32. not AI
  33. check who is missing
  34. a style or tone
  35. it learns patterns
  36. try the sum yourself
  37. 40
  38. making up a story
  39. the right answer tag
  40. makes something new

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