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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 616 · 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: hiding that a picture was AI-made when the rules say tell is an honest way to use AI for homework. (a) False (b) True
  2. 2.🔍 Which is the odd one out? (a) type it twice (b) write it in capitals (c) say the format you want (d) add lots of emojis
  3. 3.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
  4. 4.📚 Smart or poor way to study with AI: never checking mistakes? (a) poor study (b) smart study
  5. 5.True or false: “labelled fruit photos” is the model. (a) True (b) False
  6. 6.✍️ Which prompt is clearer?
    A: “Translate.”
    B: “Translate ‘Where is the library?’ into Hindi and show how to say it.”
    (a) Prompt A (b) Prompt B
  7. 7.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) examples of every type (d) very few examples
  8. 8.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
  9. 9.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  10. 10.✍️ Which prompt is clearer?
    A: “Suggest 5 healthy tiffin ideas for a 10-year-old, without nuts.”
    B: “Food ideas?”
    (a) Prompt A (b) Prompt B
  11. 11.📝 Honest use or copying: making practice questions to test yourself? (a) honest use (b) not honest
  12. 12.🔍 Which is the odd one out? (a) AI is never wrong (b) AI answers need checking (c) AI can make up facts (d) AI copies data patterns
  13. 13.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) reading number plates (c) spotting a sick leaf (d) creating a cartoon
  14. 14.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
  15. 15.True or false: logging out after using a study app means you should ask a parent or teacher first. (a) True (b) False
  16. 16.🔍 Which is the odd one out? (a) predicting rain (b) spotting a sick leaf (c) drawing a new picture (d) spotting spam
  17. 17.🤖 A chatbot answers “hello” but not “hii”. Which kind is it likely to be? (a) rule-based (b) generative (c) learning
  18. 18.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) printing (c) cooking (d) recommending
  19. 19.🧩 Which part of a prompt is this? “Check my essay for spelling mistakes.” (a) format (b) role (c) task (d) context
  20. 20.✍️ Clear or vague: “Explain why the sky looks blue in under 60 words for a 10-year-old.”? (a) vague (b) clear
  21. 21.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  22. 22.True or false: “Answer in 3 bullet points.” is the task part of a prompt. (a) True (b) False
  23. 23.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
  24. 24.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
  25. 25.Which of these describes how a normal program works? (a) learns from examples (b) makes a best guess (c) does exactly as coded (d) gives a likely answer
  26. 26.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  27. 27.📰 A post says, “Share before it gets deleted!” This is… (a) a source (b) a warning sign (c) a fact check (d) a good sign
  28. 28.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
  29. 29.True or false: “AI has real feelings” is a myth about AI. (a) False (b) True
  30. 30.🔍 Which is the odd one out? (a) your name and school (b) a friend’s secret (c) your password (d) a science question
  31. 31.True or false: “Explain each step of balancing this equation.” asks the AI to show the steps. (a) False (b) True
  32. 32.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) an image (b) text (c) music or sound
  33. 33.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
  34. 34.Which of these uses AI? (a) a printed timetable (b) a microwave timer (c) a kitchen weighing scale (d) face unlock on a phone
  35. 35.🔁 What is the right order in a simple AI app? (a) output → input → model (b) input → model → output (c) model → output → input
  36. 36.❌ Ishaan’s recycling sorter was tested on 16 new waste photos and got 13 right. How many did it get wrong?
  37. 37.🗂️ An AI flashcard has a wrong fact. What should you do? (a) correct the card (b) throw all cards away (c) ignore it (d) learn it anyway
  38. 38.📱 What is the AI doing here: a camera app naming the flower you point at? (a) predicting (b) recommending (c) recognising (d) generating
  39. 39.True or false: “Explain what a prime number is, with examples.” is asking for an explanation. (a) False (b) True
  40. 40.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True

Answer key

  1. False
  2. say the format you want
  3. train the model
  4. poor study
  5. False
  6. Prompt B
  7. very few examples
  8. past weather records
  9. True
  10. Prompt A
  11. honest use
  12. AI is never wrong
  13. creating a cartoon
  14. True
  15. False
  16. drawing a new picture
  17. rule-based
  18. recommending
  19. task
  20. clear
  21. old emails marked spam
  22. False
  23. bad for training
  24. paper and examples
  25. does exactly as coded
  26. one-sided data
  27. a warning sign
  28. True
  29. True
  30. a science question
  31. True
  32. text
  33. False
  34. face unlock on a phone
  35. input → model → output
  36. 3
  37. correct the card
  38. recognising
  39. True
  40. True

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