AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 677 · 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.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
2. 2.Which of these does not make a prompt better? (a) say what it is for (b) add exclamation marks (c) add your class level (d) ask for steps
3. 3.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
4. 4.Which of these is a good source to check against? (a) your teacher (b) an anonymous post (c) a forwarded message (d) the same chatbot again
5. 5.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
6. 6.Which of these adds to bias? (a) add varied examples (b) use one group only (c) balance the data (d) ask different people
7. 7.🔍 Which is the odd one out? (a) a map predicting traffic (b) an image generator (c) a spam filter (d) a torch
8. 8.True or false: the request “answer all 10 sums” helps you learn. (a) False (b) True
9. 9.📏 What kind of constraint is “in a funny way”? (a) a reading level (b) what to include (c) a length limit (d) a style or tone
10. 10.©️ Whose work is it: a cartoon from a comic? (a) someone else’s work (b) my own work
11. 11.True or false: letting it write your diary assignment is NOT honest use. (a) False (b) True
12. 12.True or false: a story you made up is your own work (no credit needed). (a) True (b) False
13. 13.Which of these requests does the work for you? (a) “quiz me on Chapter 3” (b) “make practice sums” (c) “write my essay” (d) “explain this step”
14. 14.Which of these is a fact about AI? (a) AI copies data patterns (b) long answers are true (c) confident means correct (d) AI is never wrong
15. 15.True or false: “One word answer: is 91 prime?” asks only for the final answer. (a) False (b) True
16. 16.Which of these describes how AI works? (a) same steps every time (b) improves with more data (c) follows fixed rules (d) uses rules people wrote
17. 17.🧩 Why add an example to a prompt? (a) to show the style (b) to make it longer (c) to hide the task (d) to confuse the AI
18. 18.🚩 A study chatbot asks for photos of you. Is that a red flag? (a) a red flag (b) normal
19. 19.🧩 “Explain volcanoes.” Which part would make it clear who it is for? (a) a password (b) more capitals (c) a random emoji (d) context
20. 20.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) add more of the same (d) use one group only
21. 21.Which of these is the output? (a) the patterns it learned (b) the part that decides (c) the generated picture (d) a drawing you make
22. 22.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
23. 23.True or false: “fails on new wording” describes a learning chatbot. (a) True (b) False
24. 24.True or false: “a cartoon of a dancing elephant” asks for an image. (a) False (b) True
25. 25.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
27. 27.✍️ Which prompt is clearer?
    A: “Write a 4-line poem about the monsoon for our notice board.”
    B: “Write a poem.” (a) Prompt A (b) Prompt B
28. 28.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
29. 29.True or false: “AI has real feelings” is a myth about AI. (a) True (b) False
30. 30.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) correct labels (d) only one kind of example
31. 31.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 16 right and Model B got 12 right. How many percentage points more accurate is Model A?
32. 32.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
33. 33.📲 Input, model or output: “a photo you upload”? (a) the model (b) the input (c) the output
34. 34.Which of these is good for training a model? (a) copies of one photo (b) labels added at random (c) many varied examples (d) wrong labels
35. 35.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it can think (c) only at night (d) yes, it is smart
36. 36.🔒 What can you safely ask an AI chatbot? (a) your home address (b) a friend’s phone number (c) a science doubt (d) your bank PIN
37. 37.🔍 Which is the odd one out? (a) add a word limit (b) give an example (c) say what it is for (d) leave out the topic
38. 38.🪜 Before asking AI for steps on homework, you should first… (a) copy a friend (b) ask for the answer (c) try it yourself (d) give up
39. 39.🔎 Before sharing a surprising post, which comes first — report it if fake or pause before sharing? (a) report it if fake (b) pause before sharing
40. 40.🎯 Arjun’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students