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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 451 · 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: “Break this word problem into small steps.” asks only for the final answer. (a) True (b) False
  2. 2.True or false: “a poster of a rainforest” asks for music or sound. (a) True (b) False
  3. 3.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  4. 4.🧮 An AI chatbot says 23 × 9 = 206. Check it yourself: what is 23 × 9?
  5. 5.🧩 Which part of a prompt is this? “I am in Class 6.” (a) role (b) task (c) context (d) example
  6. 6.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
  7. 7.True or false: “balance the data” helps reduce bias. (a) False (b) True
  8. 8.True or false: “Summarise this paragraph about volcanoes in 3 bullet points for revision.” is a vague prompt. (a) True (b) False
  9. 9.🛠️ Which is the improved prompt?
    A: “Fractions.”
    B: “Give me 8 practice sums on adding fractions with the same denominator, answers at the end.”
    (a) Prompt A (b) Prompt B
  10. 10.❌ Ananya’s fruit sorter was tested on 18 new fruit photos and got 13 right. How many did it get wrong?
  11. 11.🗂️ What study help is this prompt asking for? “Why does the Moon change shape? Explain for Class 6.” (a) a summary (b) a practice quiz (c) flashcards (d) an explanation
  12. 12.True or false: “old emails marked spam” is the model. (a) False (b) True
  13. 13.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) new data for testing (d) wrong labels
  14. 14.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) check who is missing (d) add more of the same
  15. 15.Which of these sets the style or tone? (a) answers at the end (b) for a 9-year-old (c) no more than 100 words (d) like a news report
  16. 16.🔍 Which is the odd one out? (a) creating a cartoon (b) predicting rain (c) drawing a new picture (d) writing quiz questions
  17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it bigger (d) to make it faster
  18. 18.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) printing (c) charging (d) recommending
  19. 19.🔍 Which is the odd one out? (a) “quiz me on Chapter 3” (b) “write my project” (c) “check my draft” (d) “give me a hint”
  20. 20.🔍 Which is the odd one out? (a) clear, sharp examples (b) many varied examples (c) wrong labels (d) correct labels
  21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  22. 22.True or false: a shop guessing how many umbrellas will sell is AI predicting something. (a) True (b) False
  23. 23.🛠️ Does this make a weak prompt better: add a word limit? (a) not a fix (b) a good fix
  24. 24.⏩ When you use an AI app, which happens first: the model finds patterns or the answer is shown? (a) the model finds patterns (b) the answer is shown
  25. 25.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
  26. 26.Which of these is a warning sign of a fake picture or story? (a) fits other reports (b) matches the textbook (c) no trusted source (d) many trusted sources
  27. 27.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
  28. 28.Which of these is the model? (a) 500 labelled leaf photos (b) recorded spoken words (c) old emails marked spam (d) the learned patterns
  29. 29.📏 “Explain in simple words for a 10-year-old.” This sets the… (a) font colour (b) reading level (c) battery level (d) page number
  30. 30.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
  31. 31.🧩 “Answer in a table.” This part of a prompt is the… (a) context (b) task (c) format (d) role
  32. 32.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  33. 33.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
  34. 34.🔍 Which is the odd one out? (a) the original photo found (b) calm, factual words (c) mismatched earrings (d) many trusted sources
  35. 35.💬 Does this request help you learn, or do the work for you? “quiz me on Chapter 3” (a) helps you learn (b) does it for you
  36. 36.🔎 Checking an AI answer: which do you do first — fix your notes or match every number? (a) fix your notes (b) match every number
  37. 37.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
  38. 38.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  39. 39.⏩ When you use an AI app, which happens first: the model finds patterns or the label “cat” shows? (a) the model finds patterns (b) the label “cat” shows
  40. 40.True or false: “uses if-then rules” describes a rule-based chatbot. (a) True (b) False

Answer key

  1. False
  2. False
  3. needs AI (learning)
  4. 207
  5. context
  6. correct ÷ total × 100
  7. True
  8. False
  9. Prompt B
  10. 5
  11. an explanation
  12. False
  13. wrong labels
  14. add more of the same
  15. like a news report
  16. predicting rain
  17. to see if it learned
  18. recommending
  19. “write my project”
  20. wrong labels
  21. training data
  22. True
  23. a good fix
  24. the model finds patterns
  25. True
  26. no trusted source
  27. 500 labelled leaf photos
  28. the learned patterns
  29. reading level
  30. good for training
  31. format
  32. makes something new
  33. a simple rule is enough
  34. mismatched earrings
  35. helps you learn
  36. match every number
  37. makes something new
  38. AI
  39. the model finds patterns
  40. True

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