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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 838 · 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 study chatbot explains a topic. Is that a red flag? (a) a red flag (b) normal
  2. 2.Which of these describes how AI works? (a) one set rule per case (b) learns from examples (c) never learns from data (d) same steps every time
  3. 3.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
  4. 4.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  5. 5.🔍 Which is the odd one out? (a) a spam filter (b) an image generator (c) voice typing (d) a calculator
  6. 6.✍️ Which prompt is clearer?
    A: “Test me.”
    B: “Give me a 5-question quiz on nouns from Chapter 2, then show the answers.”
    (a) Prompt A (b) Prompt B
  7. 7.📏 What kind of constraint is “in very simple words”? (a) what to include (b) a style or tone (c) a reading level (d) a length limit
  8. 8.Which of these is my own work? (a) my own diary (b) a poet’s famous poem (c) a photo from a website (d) a song on the radio
  9. 9.True or false: “Pretend you are a travel guide.” is the role part of a prompt. (a) True (b) False
  10. 10.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  11. 11.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
  12. 12.🔍 Which is the odd one out? (a) give an example (b) name the exact topic (c) add unrelated details (d) add your class level
  13. 13.❌ Aarav’s leaf identifier was tested on 32 new leaf photos and got 27 right. How many did it get wrong?
  14. 14.True or false: an AI tool making a brand-new tune is AI generating something new. (a) True (b) False
  15. 15.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
  16. 16.Which of these is the input? (a) the generated picture (b) the patterns it learned (c) the label “cat” (d) your spoken words
  17. 17.True or false: signing up for a new AI app is fine to do by yourself. (a) True (b) False
  18. 18.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
  19. 19.🧩 Which part of a prompt is this? “Pretend you are a travel guide.” (a) format (b) role (c) example (d) context
  20. 20.🔁 Learning a hard sum with AI: which should you do first — solve a new one alone or ask for one hint? (a) solve a new one alone (b) ask for one hint
  21. 21.Which of these is normal for a study chatbot? (a) suggests practice (b) urges you to click links (c) asks for a password (d) asks to meet in person
  22. 22.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
  23. 23.⏩ When you use an AI app, which happens first: you hum a tune or the label “cat” shows? (a) you hum a tune (b) the label “cat” shows
  24. 24.🎂 Many AI apps have a minimum age in their rules. What should you do? (a) make a fake account (b) ignore it (c) lie about your age (d) check it with a parent
  25. 25.Which of these is generative AI (it makes something new)? (a) predicting rain (b) suggesting a video (c) turning speech to text (d) drafting a letter
  26. 26.✍️ Clear or vague: “Test me.”? (a) clear (b) vague
  27. 27.True or false: “Write a 4-line poem about the monsoon for our notice board.” is a clear prompt. (a) True (b) False
  28. 28.True or false: “AI knows everything” is a fact about AI. (a) True (b) False
  29. 29.Which of these says what to include? (a) in a friendly tone (b) in under 50 words (c) for a 9-year-old (d) add a fun fact
  30. 30.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  31. 31.True or false: asking it to explain a sum you got wrong is NOT honest use. (a) True (b) False
  32. 32.🔎 Checking an AI answer: which do you do first — underline each fact or open your textbook? (a) underline each fact (b) open your textbook
  33. 33.📖 An AI chatbot gives a quote and a source. What should you do? (a) check the source is real (b) copy it straight away (c) delete your notes (d) add more quotes
  34. 34.True or false: “Give 5 English words that rhyme with ‘cat’, suitable for Class 2.” is a vague prompt. (a) True (b) False
  35. 35.True or false: “ask different people” helps reduce bias. (a) False (b) True
  36. 36.📲 Input, model or output: “a photo you upload”? (a) the input (b) the model (c) the output
  37. 37.Which of these is my own work? (a) a classmate’s drawing (b) a poet’s famous poem (c) a cartoon from a comic (d) a poem I wrote
  38. 38.📱 What is the AI doing here: a car camera reading a speed sign? (a) recommending (b) generating (c) predicting (d) recognising
  39. 39.Which of these is good for training a model? (a) only one kind of example (b) new data for testing (c) testing on training data (d) wrong labels
  40. 40.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data

Answer key

  1. normal
  2. learns from examples
  3. makes something new
  4. False
  5. a calculator
  6. Prompt B
  7. a reading level
  8. my own diary
  9. True
  10. False
  11. learn from data
  12. add unrelated details
  13. 5
  14. True
  15. a myth
  16. your spoken words
  17. False
  18. it learns patterns
  19. role
  20. ask for one hint
  21. suggests practice
  22. True
  23. you hum a tune
  24. check it with a parent
  25. drafting a letter
  26. vague
  27. True
  28. False
  29. add a fun fact
  30. a prediction
  31. False
  32. underline each fact
  33. check the source is real
  34. False
  35. True
  36. the input
  37. a poem I wrote
  38. recognising
  39. new data for testing
  40. its training data

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