AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 88 · 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.❌ Ishaan’s leaf identifier was tested on 18 new leaf photos and got 17 right. How many did it get wrong?
2. 2.🧩 Which part of a prompt is this? “Write 5 quiz questions on plants.” (a) example (b) task (c) format (d) context
3. 3.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) no, it follows rules (c) only at night (d) yes, it is smart
4. 4.🔒 Is it safe to type your password into an AI chatbot? (a) only short ones (b) no, never (c) yes
5. 5.Which of these is not AI? (a) an image generator (b) a map predicting traffic (c) an app translating signs (d) a stopwatch
6. 6.🏠 AI or not AI: a microwave timer? (a) uses AI (b) not AI
7. 7.Which of these describes how a normal program works? (a) learns from examples (b) same steps every time (c) spots patterns in data (d) handles unseen examples
8. 8.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
9. 9.True or false: “Act as my spelling coach.” is the example part of a prompt. (a) False (b) True
10. 10.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
11. 11.🔒 Keep it private or okay to share with an AI chatbot: a science question? (a) okay to share (b) keep it private
12. 12.✍️ Clear or vague: “Food ideas?”? (a) vague (b) clear
13. 13.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
14. 14.True or false: “correct labels” is bad for training a model. (a) False (b) True
15. 15.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) it was a rainy day (d) the phone was new
16. 16.🔒 Keep it private or okay to share with an AI chatbot: a chapter name? (a) keep it private (b) okay to share
17. 17.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
18. 18.True or false: “I have a test on Friday.” is the context part of a prompt. (a) False (b) True
19. 19.🎂 A chatbot message makes you feel uneasy. What should you do? (a) reply rudely (b) keep chatting (c) keep it a secret (d) stop and tell an adult
20. 20.True or false: “Explain why ice floats, in simple words.” is asking for an explanation. (a) False (b) True
21. 21.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) writing a new poem (c) unlocking with a face (d) composing a new tune
22. 22.📖 Is this a good source to check an AI answer against: a forwarded message? (a) a good source (b) not a good source
23. 23.⏩ When you use an AI app, which happens first: you hum a tune or the model finds patterns? (a) you hum a tune (b) the model finds patterns
24. 24.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
25. 25.🧩 Which part of a prompt is this? “Act as a friendly maths tutor.” (a) role (b) format (c) context (d) example
26. 26.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
27. 27.📚 Smart or poor way to study with AI: redo wrong questions? (a) smart study (b) poor study
28. 28.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
29. 29.🔍 Which is the odd one out? (a) testing on training data (b) checking labels twice (c) blurry, unclear photos (d) wrong labels
30. 30.📏 What kind of constraint is “for a Class 3 student”? (a) a style or tone (b) a reading level (c) what to include (d) a length limit
31. 31.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
32. 32.True or false: “Explain how rainbows form.” is the example part of a prompt. (a) True (b) False
33. 33.🖼️ Warning sign or good sign: a background that bends? (a) a good sign (b) a warning sign
34. 34.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
35. 35.🛠️ Which is the improved prompt?
    A: “Give me 8 practice sums on adding fractions with the same denominator, answers at the end.”
    B: “Fractions.” (a) Prompt A (b) Prompt B
36. 36.Which of these is a good sign (but still check)? (a) mismatched earrings (b) “share before it’s gone” (c) a shocking headline (d) matches the textbook
37. 37.True or false: “Skip the working, what is 7 × 8?” asks only for the final answer. (a) False (b) True
38. 38.True or false: “ask for steps” makes a weak prompt better. (a) False (b) True
39. 39.✍️ Which prompt is clearer?
    A: “Describe how a bill becomes a law in India in 5 simple steps.”
    B: “Tell me about laws.” (a) Prompt A (b) Prompt B
40. 40.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model

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