AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 199 · 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.🔎 Checking an AI answer: which do you do first — fix your notes or find the same topic? (a) fix your notes (b) find the same topic
2. 2.✍️ Clear or vague: “Translate.”? (a) vague (b) clear
3. 3.Which of these does not make a prompt better? (a) name the exact topic (b) make it vaguer (c) say the format you want (d) say what it is for
4. 4.Which of these describes how a normal program works? (a) same steps every time (b) gives a likely answer (c) handles unseen examples (d) improves with more data
5. 5.💬 Rule-based or learning chatbot: “builds its own replies”? (a) learning (b) rule-based
6. 6.©️ Does this need credit: a photo from a website in your slides? (a) your own work (b) needs credit
7. 7.Which of these is AI that sorts, spots or predicts (not generative)? (a) suggesting a video (b) making up a story (c) composing a new tune (d) drawing a new picture
8. 8.✍️ Clear or vague: “Tell me about laws.”? (a) clear (b) vague
9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
11. 11.🗂️ What is the best way to use an AI practice quiz? (a) skip hard ones (b) read the answers first (c) copy the answers (d) answer before checking
12. 12.🔎 Checking an AI answer: which do you do first — fix your notes or match every number? (a) fix your notes (b) match every number
13. 13.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
15. 15.True or false: the request “quiz me on Chapter 3” does the work for you. (a) False (b) True
16. 16.🎂 A chatbot message makes you feel uneasy. What should you do? (a) reply rudely (b) keep it a secret (c) stop and tell an adult (d) keep chatting
17. 17.📲 Input, model or output: “the predicted word”? (a) the output (b) the input (c) the model
18. 18.🔍 Which is the odd one out? (a) matches the textbook (b) a named author (c) the original photo found (d) shadows going two ways
19. 19.True or false: “AI copies data patterns” is a fact about AI. (a) False (b) True
20. 20.🛠️ Does this make a weak prompt better: add a word limit? (a) a good fix (b) not a fix
21. 21.Which of these adds to bias? (a) check who is missing (b) add more of the same (c) add varied examples (d) test on many groups
22. 22.Which of these sets a length limit? (a) for a 9-year-old (b) no more than 100 words (c) in a funny way (d) include 2 Indian rivers
23. 23.✍️ Which prompt is clearer?
    A: “Check ‘She go to school daily’ for grammar and explain the fix.”
    B: “Fix it.” (a) Prompt A (b) Prompt B
24. 24.🎯 Ishaan’s leaf identifier is 50% accurate. If it is tested on 80 new leaf photos, how many should it get right?
25. 25.🔁 What is the right order in a simple AI app? (a) output → input → model (b) model → output → input (c) input → model → output
26. 26.🔍 Which is the odd one out? (a) a light switch (b) a stopwatch (c) video suggestions (d) a digital watch
27. 27.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
28. 28.True or false: “I am in Class 6.” is the context part of a prompt. (a) False (b) True
29. 29.Which of these describes how AI works? (a) same steps every time (b) follows fixed rules (c) one set rule per case (d) learns from examples
30. 30.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) use one group only (d) fix wrong labels
31. 31.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
32. 32.🎯 Arjun’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
33. 33.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) typing a new spoken word (d) flagging a new email
34. 34.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
35. 35.True or false: “split into small asks” does not make a prompt better. (a) True (b) False
36. 36.✍️ Which prompt is clearer?
    A: “Give me 10 questions on the 7 times table, with answers at the end.”
    B: “Give me some maths.” (a) Prompt A (b) Prompt B
37. 37.✍️ Which prompt is clearer?
    A: “Tell me about plants.”
    B: “Explain photosynthesis to a Class 6 student in 5 short steps.” (a) Prompt A (b) Prompt B
38. 38.Which of these uses AI? (a) a stopwatch (b) a fan regulator (c) a doorbell (d) a map predicting traffic
39. 39.🛠️ Does this make a weak prompt better: add lots of emojis? (a) not a fix (b) a good fix
40. 40.✔️ An AI chatbot says 12 × 6 = 82. Is that correct or wrong? (a) correct (b) wrong

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