AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 982 · 40 questions

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.

1. 1.📱 What is the AI doing here: a car camera reading a speed sign? (a) generating (b) recognising (c) predicting (d) recommending
2. 2.True or false: a drawing you made yourself needs credit (say where it came from). (a) False (b) True
3. 3.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
4. 4.🪜 What does this prompt ask for? “Solve 3x + 5 = 20 step by step.” (a) asks only for the answer (b) asks for steps
5. 5.🏠 AI or not AI: video suggestions? (a) uses AI (b) not AI
6. 6.📝 Honest use or copying: hiding that a picture was AI-made when the rules say tell? (a) honest use (b) not honest
7. 7.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
8. 8.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
9. 9.🏠 AI or not AI: a spam filter? (a) not AI (b) uses AI
10. 10.📲 Input, model or output: “your typed question”? (a) the model (b) the output (c) the input
11. 11.Which of these adds to bias? (a) balance the data (b) use one group only (c) ask different people (d) test on many groups
12. 12.Which of these is a poor way to study with AI? (a) short study sessions (b) ask why, not just what (c) mix AI and real practice (d) reading answers only
13. 13.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
14. 14.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
15. 15.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a password (b) a length limit (c) a role (d) a picture
16. 16.Which of these is a myth about AI? (a) AI knows everything (b) AI can be wrong (c) AI copies data patterns (d) AI can mix up numbers
17. 17.🔍 Which is the odd one out? (a) an image generator (b) an AI chatbot (c) photos grouped by face (d) a light switch
18. 18.🔒 Can you upload a photo of your friend to an AI app? (a) yes, any time (b) yes, if it is funny (c) no, never
19. 19.True or false: “Make 8 cards on the parts of a flower.” is asking for flashcards. (a) False (b) True
20. 20.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
21. 21.Which of these is the output? (a) the generated picture (b) your spoken words (c) the part that decides (d) the trained AI part
22. 22.Which of these is a good source to check against? (a) an anonymous post (b) a forwarded message (c) a rumour from a friend (d) an encyclopedia
23. 23.✍️ Clear or vague: “Trip list.”? (a) clear (b) vague
24. 24.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
25. 25.Which of these does not make a prompt better? (a) type it twice (b) give an example (c) add your class level (d) add a word limit
26. 26.✍️ Clear or vague: “Write a 4-line poem about the monsoon for our notice board.”? (a) clear (b) vague
27. 27.🤖 What does AI stand for? (a) app installer (b) actual information (c) automatic internet (d) artificial intelligence
28. 28.True or false: a clay model you built needs credit (say where it came from). (a) True (b) False
29. 29.Which of these is training data? (a) what training builds (b) flagging a new email (c) naming a new fruit photo (d) 500 labelled leaf photos
30. 30.🔍 Which is the odd one out? (a) voice typing (b) photos grouped by face (c) a calculator (d) video suggestions
31. 31.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
32. 32.🧮 Which of these is NOT AI? (a) a spam filter (b) face unlock (c) a basic calculator (d) voice typing
33. 33.Which of these makes a weak prompt better? (a) add unrelated details (b) add exclamation marks (c) add a word limit (d) add lots of emojis
34. 34.True or false: “Sum up this chapter in 5 bullet points.” is asking for flashcards. (a) False (b) True
35. 35.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
36. 36.💬 Does this request help you learn, or do the work for you? “write my diary entry” (a) does it for you (b) helps you learn
37. 37.True or false: asking for feedback on your own essay draft is NOT honest use. (a) True (b) False
38. 38.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
39. 39.✍️ Which prompt is clearer?
    A: “Trip list.”
    B: “Make a checklist of 8 things to pack for a school trip to the hills.” (a) Prompt A (b) Prompt B
40. 40.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model

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