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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 57 · 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.🤖 What does AI stand for? (a) actual information (b) app installer (c) automatic internet (d) artificial intelligence
  2. 2.✍️ Clear or vague: “Tell me about plants.”? (a) clear (b) vague
  3. 3.🗂️ What study help is this prompt asking for? “Quiz me on capitals, one question at a time.” (a) a practice quiz (b) a summary (c) an explanation (d) flashcards
  4. 4.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) correct labels (d) copies of one photo
  5. 5.True or false: “needs lots of data” describes a learning chatbot. (a) False (b) True
  6. 6.🪜 Why ask an AI chatbot to show the steps? (a) to get a longer answer (b) to copy faster (c) to learn the method (d) to make it slower
  7. 7.Which of these describes how AI works? (a) follows fixed rules (b) makes a best guess (c) never learns from data (d) same steps every time
  8. 8.Which of these is a warning sign of a fake picture or story? (a) many trusted sources (b) the original photo found (c) calm, factual words (d) “share before it’s gone”
  9. 9.🔍 Which is the odd one out? (a) a calculator (b) voice typing (c) face unlock on a phone (d) a spam filter
  10. 10.Which of these requests does the work for you? (a) “where did I go wrong?” (b) “make practice sums” (c) “quiz me on Chapter 3” (d) “finish my homework”
  11. 11.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  12. 12.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) recommending (c) recognising (d) predicting
  13. 13.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 14 right and Model B got 11 right. How many percentage points more accurate is Model A?
  14. 14.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
  15. 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
  16. 16.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) a fan regulator (c) a printed timetable (d) face unlock on a phone
  17. 17.Which of these is bad for training a model? (a) clear, sharp examples (b) many varied examples (c) very few examples (d) photos in many lights
  18. 18.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) skip testing (d) add more of the same
  19. 19.⏩ When you use an AI app, which happens first: the reply appears or the model finds patterns? (a) the reply appears (b) the model finds patterns
  20. 20.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
  21. 21.Which of these describes how AI works? (a) does exactly as coded (b) never learns from data (c) uses rules people wrote (d) learns from examples
  22. 22.🔍 Which is the odd one out? (a) asks your class level (b) says not to tell parents (c) admits it is unsure (d) says it may be wrong
  23. 23.Which of these is a warning sign of a fake picture or story? (a) a known news desk (b) the original photo found (c) no trusted source (d) a named author
  24. 24.🔍 Which is the odd one out? (a) an app translating signs (b) a voice assistant (c) a microwave timer (d) an AI chatbot
  25. 25.True or false: “My class just learned fractions.” is the task part of a prompt. (a) False (b) True
  26. 26.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) use one group only (d) test on one group only
  27. 27.Which of these uses AI? (a) a calculator (b) a light switch (c) an app translating signs (d) a fan regulator
  28. 28.Which of these is a myth about AI? (a) AI can make up facts (b) AI can be wrong (c) AI learns from data (d) confident means correct
  29. 29.True or false: “Give me just the answers to all 10 sums.” asks only for the final answer. (a) False (b) True
  30. 30.True or false: “Why does the Moon change shape? Explain for Class 6.” is asking for a practice quiz. (a) True (b) False
  31. 31.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) the trained program (d) 500 labelled leaf photos
  32. 32.❌ Arjun’s spam spotter was tested on 27 new messages and got 21 right. How many did it get wrong?
  33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  34. 34.🚩 A study chatbot asks for money. Is that a red flag? (a) a red flag (b) normal
  35. 35.🗂️ Ishaan asks for 6 flashcards with 8 words on each. How many words is that in all?
  36. 36.✍️ Clear or vague: “List 3 causes of floods in simple words, one line each.”? (a) clear (b) vague
  37. 37.True or false: a video app suggesting what to watch next is AI generating something new. (a) False (b) True
  38. 38.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  39. 39.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
  40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam

Answer key

  1. artificial intelligence
  2. vague
  3. a practice quiz
  4. copies of one photo
  5. True
  6. to learn the method
  7. makes a best guess
  8. “share before it’s gone”
  9. a calculator
  10. “finish my homework”
  11. needs AI (learning)
  12. predicting
  13. 15
  14. bad for training
  15. to see if it works
  16. face unlock on a phone
  17. very few examples
  18. check who is missing
  19. the model finds patterns
  20. bad for training
  21. learns from examples
  22. says not to tell parents
  23. no trusted source
  24. a microwave timer
  25. False
  26. balance the data
  27. an app translating signs
  28. confident means correct
  29. True
  30. False
  31. 500 labelled leaf photos
  32. 6
  33. a prediction
  34. a red flag
  35. 48
  36. clear
  37. False
  38. balanced data
  39. label each example
  40. spam

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