Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 40 · 40 questions

AI tip (Show, label, learn): Machine learning learns patterns from many labelled examples — a label is the right answer tag on each example. Good for training: many varied examples, correct labels, every type the model will meet, and separate new data for testing. Bad for training: very few examples, wrong or random labels, only one kind of example, blurry examples, testing on the training data.

1. 1.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
2. 2.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
3. 3.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it will shut down (d) it may get it wrong
4. 4.Which of these is bad for training a model? (a) photos in many lights (b) wrong labels (c) new data for testing (d) correct labels
5. 5.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
6. 6.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
7. 7.🔍 Which is the odd one out? (a) checking labels twice (b) correct labels (c) very few examples (d) new data for testing
8. 8.📚 Usually, more good examples make a model… (a) better at its task (b) forget everything (c) slower to switch on (d) change colour
9. 9.🔍 Which is the odd one out? (a) blurry, unclear photos (b) wrong labels (c) very few examples (d) correct labels
10. 10.True or false: “only one kind of example” is good for training a model. (a) False (b) True
11. 11.Which of these is good for training a model? (a) copies of one photo (b) only one kind of example (c) photos in many lights (d) blurry, unclear photos
12. 12.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) learn from data (d) print pages
13. 13.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) the font size (d) a sticker on a laptop
14. 14.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
15. 15.Which of these is good for training a model? (a) wrong labels (b) labels added at random (c) examples of every type (d) very few examples
16. 16.🏷️ 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
17. 17.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
18. 18.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
20. 20.True or false: “new data for testing” is bad for training a model. (a) True (b) False
21. 21.True or false: “examples of every type” is bad for training a model. (a) True (b) False
22. 22.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
23. 23.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
24. 24.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
27. 27.Which of these is good for training a model? (a) testing on training data (b) checking labels twice (c) wrong labels (d) only one kind of example
28. 28.Which of these is bad for training a model? (a) new data for testing (b) testing on training data (c) clear, sharp examples (d) photos in many lights
29. 29.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
30. 30.Which of these is good for training a model? (a) very few examples (b) blurry, unclear photos (c) many varied examples (d) only one kind of example
31. 31.🔍 Which is the odd one out? (a) blurry, unclear photos (b) very few examples (c) examples of every type (d) only one kind of example
32. 32.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) many varied examples (b) labels added at random (c) copies of one photo (d) blurry, unclear photos
34. 34.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
35. 35.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
36. 36.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) examples of every type (b) photos in many lights (c) blurry, unclear photos (d) correct labels
38. 38.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
39. 39.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a list of rules only (d) a song about dogs
40. 40.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False

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