AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 327 · 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.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
2. 2.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) test on many groups (d) ignore complaints
3. 3.True or false: a phone unlocking when it sees your face is AI recognising something. (a) True (b) False
4. 4.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
5. 5.True or false: the request “quiz me on Chapter 3” helps you learn. (a) False (b) True
6. 6.True or false: “recorded spoken words” is a prediction. (a) True (b) False
7. 7.🛠️ The answer was far too long. What should you add? (a) a password (b) a word limit (c) more questions (d) a new topic
8. 8.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
9. 9.True or false: “matches key words” describes a learning chatbot. (a) True (b) False
10. 10.💬 Does this request help you learn, or do the work for you? “give me a hint” (a) helps you learn (b) does it for you
11. 11.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
12. 12.True or false: “only one kind of example” is good for training a model. (a) False (b) True
13. 13.True or false: “Give me 10 questions on the 7 times table, with answers at the end.” is a vague prompt. (a) False (b) True
14. 14.📏 What kind of constraint is “with one example”? (a) a length limit (b) what to include (c) a style or tone (d) a reading level
15. 15.True or false: a picture made with an image generator in your project needs credit (say where it came from). (a) True (b) False
16. 16.🖼️ Warning sign or good sign: calm, factual words? (a) a good sign (b) a warning sign
17. 17.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
18. 18.Which of these is a fact about AI? (a) AI is never wrong (b) AI knows everything (c) confident means correct (d) AI can be wrong
19. 19.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
20. 20.✍️ Clear or vague: “Translate ‘Where is the library?’ into Hindi and show how to say it.”? (a) clear (b) vague
21. 21.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
22. 22.True or false: “asks for a password” is normal for a study chatbot. (a) False (b) True
23. 23.Which of these describes how a normal program works? (a) improves with more data (b) makes a best guess (c) follows fixed rules (d) gives a likely answer
24. 24.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
25. 25.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it is smart (c) no, it follows rules (d) yes, it can think
26. 26.Which of these is normal for a study chatbot? (a) explains a topic (b) urges you to click links (c) asks for photos of you (d) says not to tell parents
27. 27.🔎 Checking an AI answer: which do you do first — correct the mistakes or underline each fact? (a) correct the mistakes (b) underline each fact
28. 28.Which of these makes a weak prompt better? (a) write it in capitals (b) add lots of emojis (c) add exclamation marks (d) say the format you want
29. 29.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) check who is missing (d) use one group only
30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
31. 31.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
32. 32.📦 Kabir collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
34. 34.⏩ When you use an AI app, which happens first: you type a question or the model makes a guess? (a) you type a question (b) the model makes a guess
35. 35.🗂️ What is the best way to use an AI practice quiz? (a) read the answers first (b) answer before checking (c) skip hard ones (d) copy the answers
36. 36.🔍 Which is the odd one out? (a) a spam filter (b) a digital watch (c) a microwave timer (d) a torch
37. 37.🎂 A friend says, “Just tick that you are older.” What should you do? (a) tick it (b) be honest (c) share a password (d) use a fake name
38. 38.Which of these is a smart way to study with AI? (a) skipping the textbook (b) never checking mistakes (c) mix AI and real practice (d) last-night cramming
39. 39.📚 Smart or poor way to study with AI: make your own cards too? (a) smart study (b) poor study
40. 40.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) no, it finds patterns (c) yes, it gets sad (d) only on weekends

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