AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 762 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.🔍 Which is the odd one out? (a) composing a new tune (b) sorting photos by face (c) drawing a new picture (d) writing quiz questions
2. 2.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
3. 3.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
4. 4.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
5. 5.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
6. 6.🏷️ 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
7. 7.Which of these is the model? (a) flagging a new email (b) old emails marked spam (c) what training builds (d) recorded spoken words
8. 8.🔍 Which is the odd one out? (a) AI is never wrong (b) AI copies data patterns (c) AI has real feelings (d) AI knows everything
9. 9.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
10. 10.✅ Is this a real check of an AI answer: asking the same AI again? (a) a real check (b) not a real check
11. 11.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it can think (c) no, it follows rules (d) yes, it is smart
12. 12.🔍 Which is the odd one out? (a) making up a story (b) drawing a new picture (c) reading number plates (d) composing a new tune
13. 13.True or false: “a cartoon of a dancing elephant” asks for text. (a) True (b) False
14. 14.Which of these is bad for training a model? (a) testing on training data (b) photos in many lights (c) many varied examples (d) correct labels
15. 15.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
16. 16.🔍 Which is the odd one out? (a) an AI chatbot (b) face unlock on a phone (c) a doorbell (d) a spam filter
17. 17.True or false: “labels added at random” is bad for training a model. (a) True (b) False
18. 18.True or false: “rain sound effects for a play” asks for music or sound. (a) False (b) True
19. 19.Which of these is a prediction? (a) flagging a new email (b) old emails marked spam (c) past weather records (d) 500 labelled leaf photos
20. 20.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
21. 21.True or false: “AI learns from data” is a fact about AI. (a) False (b) True
22. 22.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) False (b) True
23. 23.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
24. 24.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) pick a lucky number (c) ask it to repeat (d) guess
25. 25.📚 Usually, more good examples make a model… (a) better at its task (b) forget everything (c) slower to switch on (d) change colour
26. 26.Which of these is the model? (a) old emails marked spam (b) past weather records (c) the learned patterns (d) naming a new fruit photo
27. 27.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
28. 28.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
29. 29.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it has a screen (c) it is always right (d) it learns from examples
30. 30.Which of these describes how AI works? (a) follows fixed rules (b) uses rules people wrote (c) makes a best guess (d) same steps every time
31. 31.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
32. 32.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) music or sound (c) an image
33. 33.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
34. 34.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
35. 35.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
36. 36.🤖 What does AI stand for? (a) artificial intelligence (b) automatic internet (c) app installer (d) actual information
37. 37.🔍 Which is the odd one out? (a) AI answers need checking (b) AI has real feelings (c) AI learns from data (d) AI can make up facts
38. 38.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
39. 39.True or false: sorting names in A to Z order only needs a simple fixed rule. (a) True (b) False
40. 40.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program

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