AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 997 · 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: “five quiz questions on fractions” asks for text. (a) True (b) False
2. 2.📝 Honest use or copying: asking it to explain a sum you got wrong? (a) not honest (b) honest use
3. 3.🔍 Which is the odd one out? (a) a history question (b) a maths sum to explain (c) a word you don’t know (d) a photo of your friend
4. 4.True or false: “wrong labels” is good for training a model. (a) True (b) False
5. 5.🛠️ Which is the improved prompt?
   A: “New words.”
   B: “Give me 6 new English words with meanings and one sentence each, for Class 6.” (a) Prompt A (b) Prompt B
6. 6.Which of these is a red flag — stop and tell an adult? (a) says it may be wrong (b) asks for your address (c) gives an example (d) suggests practice
7. 7.Which of these is not AI? (a) a kitchen weighing scale (b) video suggestions (c) a voice assistant (d) photos grouped by face
8. 8.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
9. 9.📚 Smart or poor way to study with AI: mix AI and real practice? (a) poor study (b) smart study
10. 10.Which of these sets the reading level? (a) in one short paragraph (b) include 2 Indian rivers (c) in very simple words (d) in a formal tone
11. 11.💬 Rule-based or learning chatbot: “needs lots of data”? (a) learning (b) rule-based
12. 12.💬 Does this request help you learn, or do the work for you? “write my project” (a) does it for you (b) helps you learn
13. 13.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
14. 14.🧩 “Answer in a table.” This part of a prompt is the… (a) task (b) role (c) format (d) context
15. 15.True or false: “Make cards with a term on one side, its meaning on the other.” is asking for a summary. (a) True (b) False
16. 16.True or false: “My class just learned fractions.” is the example part of a prompt. (a) True (b) False
17. 17.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
18. 18.🪜 An AI shows steps for a sum. What should you do with them? (a) delete them (b) ignore them (c) copy them blindly (d) check each step
19. 19.🔒 Keep it private or okay to share with an AI chatbot: your school ID number? (a) keep it private (b) okay to share
20. 20.Which of these is a smart way to study with AI? (a) last-night cramming (b) make your own cards too (c) reading answers only (d) asking only for answers
21. 21.📚 Smart or poor way to study with AI: never checking mistakes? (a) poor study (b) smart study
22. 22.True or false: letting it write your diary assignment is NOT honest use. (a) True (b) False
23. 23.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
24. 24.Which of these is my own work? (a) a classmate’s drawing (b) a picture I drew (c) a song on the radio (d) a quote from a book
25. 25.🗂️ What study help is this prompt asking for? “Turn these 10 words into question-and-answer cards.” (a) a summary (b) an explanation (c) a practice quiz (d) flashcards
26. 26.📏 What kind of constraint is “include 2 Indian rivers”? (a) a length limit (b) a reading level (c) a style or tone (d) what to include
27. 27.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) naming a new leaf (d) the learned patterns
28. 28.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) checking labels twice (d) testing on training data
29. 29.🧮 An AI chatbot says 21 × 7 = 137. Check it yourself: what is 21 × 7?
30. 30.✍️ Clear or vague: “Explain fractions to a Class 4 student using a pizza example.”? (a) clear (b) vague
31. 31.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
32. 32.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
33. 33.🪜 What does this prompt ask for? “List the steps to make a paper boat.” (a) asks for steps (b) asks only for the answer
34. 34.Which of these is a poor way to study with AI? (a) short study sessions (b) ask why, not just what (c) trusting every summary (d) make your own cards too
35. 35.📏 What kind of constraint is “answers at the end”? (a) a style or tone (b) a length limit (c) what to include (d) a reading level
36. 36.🗂️ What is the best way to use an AI practice quiz? (a) answer before checking (b) skip hard ones (c) copy the answers (d) read the answers first
37. 37.🔍 Which is the odd one out? (a) sorting photos by face (b) suggesting a video (c) inventing a recipe (d) predicting rain
38. 38.True or false: “give an example” does not make a prompt better. (a) False (b) True
39. 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
40. 40.Which of these is a warning sign of a fake picture or story? (a) the original photo found (b) “share before it’s gone” (c) a known news desk (d) a clear date

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