AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 76 · 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.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) past weather records (d) tomorrow’s rain guess
2. 2.🖼️ Warning sign or good sign: no trusted source? (a) a good sign (b) a warning sign
3. 3.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
4. 4.True or false: “recorded spoken words” is a prediction. (a) True (b) False
5. 5.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
6. 6.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) correct labels (d) copies of one photo
7. 7.🧩 Which part of a prompt is this? “Summarise this paragraph.” (a) example (b) context (c) task (d) format
8. 8.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
9. 9.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
10. 10.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
11. 11.True or false: “a tune I made up” is my own work. (a) False (b) True
12. 12.True or false: “no more than 100 words” says what to include. (a) True (b) False
13. 13.True or false: an AI chatbot writing a poem about rain is AI recognising something. (a) True (b) False
14. 14.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
15. 15.🧩 Why add an example to a prompt? (a) to hide the task (b) to show the style (c) to make it longer (d) to confuse the AI
16. 16.🛠️ Which is the improved prompt?
    A: “Give me 6 new English words with meanings and one sentence each, for Class 6.”
    B: “New words.” (a) Prompt A (b) Prompt B
17. 17.Which of these is a smart way to study with AI? (a) trusting every summary (b) reading answers only (c) redo wrong questions (d) last-night cramming
18. 18.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
19. 19.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) balance the data (d) add more of the same
20. 20.🔁 Learning a hard sum with AI: which should you do first — solve a new one alone or ask for one hint? (a) solve a new one alone (b) ask for one hint
21. 21.📏 What kind of constraint is “answers at the end”? (a) a length limit (b) a style or tone (c) what to include (d) a reading level
22. 22.Which of these is a prediction? (a) naming a new leaf (b) labelled fruit photos (c) the learned patterns (d) what training builds
23. 23.True or false: “in 3 sentences or fewer” says what to include. (a) True (b) False
24. 24.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
25. 25.True or false: “new data for testing” is bad for training a model. (a) True (b) False
26. 26.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) ask different people (d) copy old unfair choices
27. 27.True or false: “asks for your address” is normal for a study chatbot. (a) False (b) True
28. 28.True or false: “the learned patterns” is the model. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) a digital watch (b) voice typing (c) a map predicting traffic (d) an app translating signs
30. 30.Which of these is NOT a good source to check against? (a) a science museum site (b) your school textbook (c) a government website (d) a forwarded message
31. 31.🛠️ Which is the improved prompt?
    A: “How do seeds grow?”
    B: “Explain how a seed grows into a plant in 5 numbered steps for Class 4.” (a) Prompt A (b) Prompt B
32. 32.🎯 Ishaan’s handwriting reader is 60% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
33. 33.Which of these adds to bias? (a) ask different people (b) balance the data (c) skip testing (d) add varied examples
34. 34.Which of these is a good sign (but still check)? (a) no trusted source (b) a shocking headline (c) blurry, melted text (d) a known news desk
35. 35.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
36. 36.🎂 Ask an adult first, or fine to do yourself: an app asking to use your camera? (a) ask an adult first (b) fine to do yourself
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
38. 38.🔍 Which is the odd one out? (a) a topic for a quiz (b) a one-time password (c) a bank card number (d) a friend’s secret
39. 39.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) what training builds (d) 500 labelled leaf photos
40. 40.🪜 What does this prompt ask for? “Give me just the answers to all 10 sums.” (a) asks for steps (b) asks only for the answer

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