AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 830 · 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 of these is good for training a model? (a) correct labels (b) testing on training data (c) blurry, unclear photos (d) copies of one photo
2. 2.🔍 Which is the odd one out? (a) copies of one photo (b) only one kind of example (c) correct labels (d) labels added at random
3. 3.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) add varied examples (d) add more of the same
4. 4.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
6. 6.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
7. 7.🛠️ Which does this job need: translating a sentence into Hindi? (a) needs AI (learning) (b) a simple rule is enough
8. 8.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) False (b) True
9. 9.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) text (b) an image (c) music or sound
10. 10.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the AI (c) trust the textbook (d) share it online
11. 11.🔍 Which is the odd one out? (a) very few examples (b) new data for testing (c) examples of every type (d) correct labels
12. 12.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
13. 13.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) printing (d) recommending
14. 14.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) labelled fruit photos (d) naming a new leaf
15. 15.True or false: “confident means correct” is a fact about AI. (a) True (b) False
16. 16.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) use one group only (d) skip testing
18. 18.Which of these adds to bias? (a) ask different people (b) add varied examples (c) use one group only (d) fix wrong labels
19. 19.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) many varied examples (d) very few examples
22. 22.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
23. 23.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
24. 24.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) making up a story (c) predicting rain (d) creating a cartoon
25. 25.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
26. 26.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) checking labels twice (d) very few examples
27. 27.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
28. 28.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
29. 29.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
30. 30.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
31. 31.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
32. 32.Which of these uses AI? (a) a digital watch (b) a kitchen weighing scale (c) a stopwatch (d) an image generator
33. 33.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
34. 34.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
35. 35.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) clean screens (d) print pages
36. 36.True or false: “try the sum on paper” is a real way to check an AI answer. (a) False (b) True
37. 37.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recommending (b) predicting (c) recognising (d) generating
38. 38.Which of these helps reduce bias? (a) skip testing (b) check who is missing (c) add more of the same (d) test on one group only
39. 39.🔍 Which is the odd one out? (a) creating a cartoon (b) suggesting a video (c) drafting a letter (d) composing a new tune
40. 40.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) its colour (d) the weather

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