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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 705 · 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.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
  2. 2.✔️ An AI chatbot says 16 × 3 = 58. Is that correct or wrong? (a) wrong (b) correct
  3. 3.Which of these is stage 3 (practise alone)? (a) ask how to start (b) try a similar sum alone (c) ask for one hint (d) have a go on your own
  4. 4.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
  5. 5.True or false: “Show each step of 456 ÷ 4.” asks only for the final answer. (a) False (b) True
  6. 6.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
  7. 7.Which of these makes a weak prompt better? (a) use unclear slang (b) write it in capitals (c) say the format you want (d) add lots of emojis
  8. 8.🛠️ Which is the improved prompt?
    A: “Write a 6-line funny poem about a cat who loves mangoes.”
    B: “Write a poem.”
    (a) Prompt A (b) Prompt B
  9. 9.🧩 Which part of a prompt is this? “Use a table with 2 columns.” (a) task (b) format (c) example (d) role
  10. 10.🛠️ Which is the improved prompt?
    A: “Give me 6 new English words with meanings and one sentence each, for Class 6.”
    B: “New words.”
    (a) Prompt A (b) Prompt B
  11. 11.True or false: “AI knows everything” is a myth about AI. (a) False (b) True
  12. 12.Which of these sets the style or tone? (a) with one example (b) in one short paragraph (c) no more than 100 words (d) like a news report
  13. 13.🔁 Learning a hard sum with AI: which should you do first — ask how to start or attempt it on paper? (a) ask how to start (b) attempt it on paper
  14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
  15. 15.©️ Does this need credit: a survey you ran in class? (a) needs credit (b) your own work
  16. 16.❌ Arjun’s leaf identifier was tested on 31 new leaf photos and got 27 right. How many did it get wrong?
  17. 17.📚 Smart or poor way to study with AI: asking it to do homework? (a) smart study (b) poor study
  18. 18.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
  19. 19.🪜 Which phrase asks for step-by-step help? (a) “skip the working” (b) “explain each step” (c) “just the answer” (d) “no explanation”
  20. 20.🤖 What does AI stand for? (a) app installer (b) actual information (c) automatic internet (d) artificial intelligence
  21. 21.True or false: “Check my essay for spelling mistakes.” is the task part of a prompt. (a) False (b) True
  22. 22.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
  23. 23.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
  24. 24.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a role (b) a length limit (c) a password (d) a picture
  25. 25.True or false: “add unrelated details” does not make a prompt better. (a) False (b) True
  26. 26.✍️ Which prompt is clearer?
    A: “Explain fractions to a Class 4 student using a pizza example.”
    B: “Teach me maths.”
    (a) Prompt A (b) Prompt B
  27. 27.True or false: “labelled fruit photos” is training data. (a) True (b) False
  28. 28.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recognising (b) recommending (c) predicting (d) generating
  29. 29.📏 What kind of constraint is “in one short paragraph”? (a) what to include (b) a style or tone (c) a length limit (d) a reading level
  30. 30.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) what training builds (d) naming a new fruit photo
  31. 31.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will turn yellow (d) it will be perfect
  32. 32.True or false: “Make it short.” is a vague prompt. (a) False (b) True
  33. 33.True or false: the request “explain this step” helps you learn. (a) False (b) True
  34. 34.Which of these is not AI? (a) an app translating signs (b) voice typing (c) face unlock on a phone (d) a calculator
  35. 35.✍️ Which prompt is clearer?
    A: “Translate ‘Where is the library?’ into Hindi and show how to say it.”
    B: “Translate.”
    (a) Prompt A (b) Prompt B
  36. 36.🔁 Learning a hard sum with AI: which should you do first — ask how to start or try the sum yourself? (a) ask how to start (b) try the sum yourself
  37. 37.Which of these is bad for training a model? (a) wrong labels (b) clear, sharp examples (c) examples of every type (d) correct labels
  38. 38.©️ Whose work is it: a poem I wrote? (a) my own work (b) someone else’s work
  39. 39.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
  40. 40.📰 A post says, “Share before it gets deleted!” This is… (a) a source (b) a good sign (c) a fact check (d) a warning sign

Answer key

  1. False
  2. wrong
  3. try a similar sum alone
  4. False
  5. False
  6. a simple rule is enough
  7. say the format you want
  8. Prompt A
  9. format
  10. Prompt A
  11. True
  12. like a news report
  13. attempt it on paper
  14. a prediction
  15. your own work
  16. 4
  17. poor study
  18. correct ÷ total × 100
  19. “explain each step”
  20. artificial intelligence
  21. True
  22. no, it can be wrong
  23. a real check
  24. a length limit
  25. True
  26. Prompt A
  27. True
  28. recommending
  29. a length limit
  30. old emails marked spam
  31. it may get it wrong
  32. True
  33. True
  34. a calculator
  35. Prompt A
  36. try the sum yourself
  37. wrong labels
  38. my own work
  39. it learns patterns
  40. a warning sign

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