AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 18 · 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.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) no, it finds patterns (c) only on weekends (d) yes, it gets sad
2. 2.🪜 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
3. 3.📖 Is this a good source to check an AI answer against: a forwarded message? (a) a good source (b) not a good source
4. 4.True or false: “Give 5 English words that rhyme with ‘cat’, suitable for Class 2.” is a clear prompt. (a) False (b) True
5. 5.🔍 Which is the odd one out? (a) calm, factual words (b) “share before it’s gone” (c) many trusted sources (d) a named author
6. 6.✍️ Clear or vague: “Rhymes.”? (a) vague (b) clear
7. 7.Which of these is the model? (a) a drawing you make (b) the part that decides (c) a tune you hum (d) the label “cat”
8. 8.🖼️ Warning sign or good sign: a named author? (a) a warning sign (b) a good sign
9. 9.🏷️ 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
10. 10.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
11. 11.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
13. 13.🛠️ Does this make a weak prompt better: add exclamation marks? (a) a good fix (b) not a fix
14. 14.Which of these is not AI? (a) an AI chatbot (b) an app translating signs (c) a doorbell (d) photos grouped by face
15. 15.True or false: converting metres into centimetres needs AI that learns from examples. (a) True (b) False
16. 16.Which of these is my own work? (a) a quote from a book (b) a map from an atlas (c) a poem I wrote (d) a chart from the news
17. 17.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) test on many groups (d) add more of the same
18. 18.🔒 An AI chatbot asks for your home address. What should you do? (a) give a friend’s (b) share half of it (c) share it quickly (d) say no, tell an adult
19. 19.🧩 “Act as a patient science teacher.” This sets the… (a) word limit (b) example (c) role (d) format
20. 20.📖 Is this a good source to check an AI answer against: a random comment? (a) a good source (b) not a good source
21. 21.True or false: “asks for a password” is normal for a study chatbot. (a) True (b) False
22. 22.True or false: having it write your project report word for word is an honest way to use AI for homework. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
24. 24.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) music or sound (b) an image (c) text
25. 25.🪜 What does this prompt ask for? “Explain one step at a time why 7 × 8 = 56.” (a) asks only for the answer (b) asks for steps
26. 26.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) True (b) False
27. 27.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recognising (b) predicting (c) recommending (d) generating
28. 28.Which of these is a good sign (but still check)? (a) a shocking headline (b) “share before it’s gone” (c) mismatched earrings (d) many trusted sources
29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
30. 30.Which of these helps reduce bias? (a) add varied examples (b) copy old unfair choices (c) ignore complaints (d) use one group only
31. 31.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
32. 32.True or false: “gives a likely answer” describes how a normal program works. (a) False (b) True
33. 33.🗂️ An AI made you a summary. What should you do next? (a) check it with the book (b) delete the book (c) learn it blindly (d) share it as yours
34. 34.Which of these is stage 3 (practise alone)? (a) do one more on your own (b) have a go on your own (c) ask for one hint (d) try the sum yourself
35. 35.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
36. 36.💬 Does this request help you learn, or do the work for you? “where did I go wrong?” (a) does it for you (b) helps you learn
37. 37.🔍 Which is the odd one out? (a) leave out the topic (b) say what it is for (c) make it vaguer (d) type it twice
38. 38.Which of these is good for training a model? (a) photos in many lights (b) very few examples (c) wrong labels (d) testing on training data
39. 39.🔍 Which is the odd one out? (a) a photo I took (b) a clay model I built (c) my own survey results (d) a map from an atlas
40. 40.🛠️ Does this make a weak prompt better: make it vaguer? (a) not a fix (b) a good fix

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