Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 586 · 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.🔍 Which is the odd one out? (a) photos in many lights (b) labels added at random (c) blurry, unclear photos (d) wrong labels
2. 2.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
3. 3.Which of these is good for training a model? (a) labels added at random (b) only one kind of example (c) wrong labels (d) photos in many lights
4. 4.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
5. 5.🏷️ 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
6. 6.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
7. 7.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
8. 8.Which of these is good for training a model? (a) very few examples (b) blurry, unclear photos (c) new data for testing (d) wrong labels
9. 9.🔍 Which is the odd one out? (a) examples of every type (b) testing on training data (c) clear, sharp examples (d) new data for testing
10. 10.Which of these is bad for training a model? (a) examples of every type (b) checking labels twice (c) new data for testing (d) wrong labels
11. 11.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
13. 13.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) print pages (d) clean screens
14. 14.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the price (d) the right answer tag
15. 15.🔍 Which is the odd one out? (a) photos in many lights (b) correct labels (c) examples of every type (d) labels added at random
16. 16.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
17. 17.Which of these is good for training a model? (a) labels added at random (b) very few examples (c) testing on training data (d) correct labels
18. 18.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
19. 19.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
20. 20.Which of these is bad for training a model? (a) only one kind of example (b) many varied examples (c) examples of every type (d) checking labels twice
21. 21.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
22. 22.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
23. 23.Which of these is good for training a model? (a) very few examples (b) blurry, unclear photos (c) testing on training data (d) many varied examples
24. 24.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
25. 25.Which of these is good for training a model? (a) checking labels twice (b) very few examples (c) copies of one photo (d) blurry, unclear photos
26. 26.Which of these is bad for training a model? (a) correct labels (b) many varied examples (c) checking labels twice (d) blurry, unclear photos
27. 27.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
28. 28.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) one single photo (d) many labelled photos
29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
31. 31.🥭 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
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
33. 33.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
34. 34.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
35. 35.True or false: “new data for testing” is good for training a model. (a) False (b) True
36. 36.True or false: “only one kind of example” is good for training a model. (a) True (b) False
37. 37.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
38. 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
40. 40.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True

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