AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 325 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
2. 2.True or false: “AI learns from data” is a myth about AI. (a) False (b) True
3. 3.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
4. 4.True or false: “improves with more data” describes how AI works. (a) False (b) True
5. 5.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will be perfect (c) it may get it wrong (d) it will shut down
6. 6.True or false: “testing on training data” is good for training a model. (a) False (b) True
7. 7.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
8. 8.True or false: “past weather records” is training data. (a) True (b) False
9. 9.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
10. 10.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
11. 11.True or false: “use one group only” helps reduce bias. (a) True (b) False
12. 12.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) a sticker on a laptop (d) the right answer tag
13. 13.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
14. 14.Which of these describes how a normal program works? (a) never learns from data (b) improves with more data (c) spots patterns in data (d) handles unseen examples
15. 15.Which of these is a myth about AI? (a) AI learns from data (b) AI can be wrong (c) AI knows everything (d) AI copies data patterns
16. 16.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
17. 17.🔍 Which is the odd one out? (a) a calculator (b) a stopwatch (c) an AI chatbot (d) a digital watch
18. 18.Which of these is training data? (a) the trained program (b) the learned patterns (c) naming a new fruit photo (d) 500 labelled leaf photos
19. 19.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) naming a new leaf (d) old emails marked spam
20. 20.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) singing (c) drawing (d) sleeping
21. 21.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
22. 22.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
23. 23.Which of these is not AI? (a) face unlock on a phone (b) a torch (c) a map predicting traffic (d) video suggestions
24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
25. 25.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
27. 27.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) False (b) True
28. 28.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) the learned patterns (d) tomorrow’s rain guess
29. 29.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a summary (c) a password (d) a hallucination
30. 30.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
31. 31.True or false: “a story about a brave ant” asks for an image. (a) False (b) True
32. 32.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
33. 33.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
34. 34.True or false: “AI can make up facts” is a myth about AI. (a) True (b) False
35. 35.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
36. 36.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
37. 37.Which of these is generative AI (it makes something new)? (a) writing a new poem (b) reading number plates (c) suggesting a video (d) predicting rain
38. 38.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
39. 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
40. 40.Which of these is AI that sorts, spots or predicts (not generative)? (a) sorting photos by face (b) drawing a new picture (c) creating a cartoon (d) making up a story

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