AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 42 · 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.🔎 Before sharing a surprising post, which comes first — share only if true or look at the source? (a) share only if true (b) look at the source
2. 2.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 45 right. How many percentage points more accurate is Model A?
3. 3.🔎 Before sharing a surprising post, which comes first — share only if true or compare with others? (a) share only if true (b) compare with others
4. 4.True or false: “a story idea” should be kept private — never share it with an AI chatbot. (a) True (b) False
5. 5.✍️ Which prompt is clearer?
   A: “Give 5 English words that rhyme with ‘cat’, suitable for Class 2.”
   B: “Rhymes.” (a) Prompt A (b) Prompt B
6. 6.©️ Whose work is it: a poem I wrote? (a) my own work (b) someone else’s work
7. 7.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) False (b) True
8. 8.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
9. 9.🎯 Vihaan’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
10. 10.True or false: “does exactly as coded” describes how a normal program works. (a) True (b) False
11. 11.🔎 Before sharing a surprising post, which comes first — share only if true or pause before sharing? (a) share only if true (b) pause before sharing
12. 12.True or false: “guesses likely replies” describes a learning chatbot. (a) False (b) True
13. 13.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recommending (b) recognising (c) predicting (d) generating
14. 14.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
15. 15.✍️ Clear or vague: “List 3 causes of floods in simple words, one line each.”? (a) vague (b) clear
16. 16.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
17. 17.✍️ Which prompt is clearer?
    A: “Write a polite 3-line message asking my teacher for extra practice sheets.”
    B: “Write a message.” (a) Prompt A (b) Prompt B
18. 18.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
19. 19.True or false: “labels added at random” is good for training a model. (a) True (b) False
20. 20.🔍 Which is the odd one out? (a) drawing a new picture (b) turning speech to text (c) unlocking with a face (d) spotting a sick leaf
21. 21.Which of these is a myth about AI? (a) confident means correct (b) AI copies data patterns (c) AI answers need checking (d) AI can mix up numbers
22. 22.True or false: “Just give me the answer to 456 ÷ 4.” asks the AI to show the steps. (a) True (b) False
23. 23.True or false: a fact from a science magazine in your report is your own work (no credit needed). (a) True (b) False
24. 24.Which of these is good for training a model? (a) blurry, unclear photos (b) examples of every type (c) very few examples (d) copies of one photo
25. 25.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) True (b) False
26. 26.🧮 An AI chatbot says 22 × 5 = 109. Check it yourself: what is 22 × 5?
27. 27.🪜 Which phrase asks for step-by-step help? (a) “no explanation” (b) “just the answer” (c) “explain each step” (d) “skip the working”
28. 28.Which of these is the model? (a) past weather records (b) what training builds (c) 500 labelled leaf photos (d) old emails marked spam
29. 29.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) use one group only
30. 30.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
31. 31.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
32. 32.🪜 An AI shows steps for a sum. What should you do with them? (a) delete them (b) ignore them (c) check each step (d) copy them blindly
33. 33.🔍 Which is the odd one out? (a) “solve my test paper” (b) “finish my homework” (c) “check my draft” (d) “write my essay”
34. 34.🛠️ Does this make a weak prompt better: make it vaguer? (a) not a fix (b) a good fix
35. 35.✍️ Clear or vague: “Help me study.”? (a) vague (b) clear
36. 36.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
37. 37.Which of these sets the style or tone? (a) in 2 lines only (b) in a funny way (c) in under 50 words (d) include 2 Indian rivers
38. 38.True or false: “a photo from a website” is someone else’s work (credit it). (a) True (b) False
39. 39.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a summary (c) a backup (d) a hallucination
40. 40.Which of these helps reduce bias? (a) balance the data (b) add more of the same (c) copy old unfair choices (d) test on one group only

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