AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 82 · 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.©️ Does this need credit: a chart from a news report in your talk? (a) your own work (b) needs credit
2. 2.Which of these is good for training a model? (a) checking labels twice (b) blurry, unclear photos (c) only one kind of example (d) testing on training data
3. 3.📖 The AI answer and your textbook disagree. What should you do? (a) ask your teacher (b) trust the AI (c) pick at random (d) skip the question
4. 4.🗂️ What study help is this prompt asking for? “Explain what a prime number is, with examples.” (a) a practice quiz (b) a summary (c) flashcards (d) an explanation
5. 5.True or false: “Translate ‘Where is the library?’ into Hindi and show how to say it.” is a vague prompt. (a) False (b) True
6. 6.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts
7. 7.Which of these is okay to share with an AI chatbot? (a) a maths sum to explain (b) your school ID number (c) your password (d) a friend’s secret
8. 8.🔍 Which is the odd one out? (a) AI answers need checking (b) confident means correct (c) AI can make up facts (d) AI copies data patterns
9. 9.📝 Honest use or copying: getting it to solve every sum without trying? (a) honest use (b) not honest
10. 10.🏷️ 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
11. 11.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
12. 12.🔒 What can you safely ask an AI chatbot? (a) a friend’s phone number (b) your home address (c) a science doubt (d) your bank PIN
13. 13.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) check it on paper (c) copy it straight away (d) never do maths
14. 14.🪜 An AI shows steps for a sum. What should you do with them? (a) delete them (b) check each step (c) ignore them (d) copy them blindly
15. 15.🛠️ “Write about animals.” What would improve this prompt most? (a) add exclamation marks (b) write it in capitals (c) make it shorter (d) name animal and format
16. 16.🎨 An image generator makes a picture from… (a) your password (b) the weather (c) a phone number (d) a text description
17. 17.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
18. 18.Which of these is a poor way to study with AI? (a) short study sessions (b) never checking mistakes (c) mix AI and real practice (d) answer before peeking
19. 19.Which of these is good for training a model? (a) new data for testing (b) very few examples (c) labels added at random (d) only one kind of example
20. 20.✍️ Clear or vague: “Sky colour?”? (a) vague (b) clear
21. 21.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
22. 22.📱 What is the AI doing here: turning your spoken words into typed text? (a) recommending (b) predicting (c) recognising (d) generating
23. 23.🛠️ 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
24. 24.💬 Does this request help you learn, or do the work for you? “make practice sums” (a) helps you learn (b) does it for you
25. 25.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) generating (b) recognising (c) recommending (d) predicting
26. 26.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
27. 27.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
28. 28.Which of these describes how a normal program works? (a) spots patterns in data (b) improves with more data (c) one set rule per case (d) gives a likely answer
29. 29.Which of these uses AI? (a) a microwave timer (b) photos grouped by face (c) a light switch (d) a torch
30. 30.✍️ Which prompt is clearer?
    A: “Make a 7-day study plan for my science exam, 1 hour a day.”
    B: “Help me study.” (a) Prompt A (b) Prompt B
31. 31.📷 The app replies “neem leaf”. That reply is the… (a) input (b) training data (c) output
32. 32.Which of these describes how a normal program works? (a) learns from examples (b) follows fixed rules (c) makes a best guess (d) improves with more data
33. 33.🗂️ An AI flashcard has a wrong fact. What should you do? (a) learn it anyway (b) throw all cards away (c) correct the card (d) ignore it
34. 34.True or false: “skip testing” adds to bias. (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) photos in many lights (b) blurry, unclear photos (c) new data for testing (d) correct labels
36. 36.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) False (b) True
37. 37.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) cooking (c) printing (d) recommending
38. 38.🔍 Which is the odd one out? (a) suggests practice (b) asks for photos of you (c) asks to keep a secret (d) asks for money
39. 39.True or false: “a poster of a rainforest” asks for an image. (a) True (b) False
40. 40.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) better at its task (d) forget everything

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