Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 440 · 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.🏷️ 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
2. 2.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
3. 3.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) a song about dogs (d) many labelled photos
4. 4.🔍 Which is the odd one out? (a) correct labels (b) copies of one photo (c) clear, sharp examples (d) many varied examples
5. 5.True or false: “copies of one photo” is good for training a model. (a) True (b) False
6. 6.True or false: “wrong labels” is bad for training a model. (a) True (b) False
7. 7.🔍 Which is the odd one out? (a) wrong labels (b) blurry, unclear photos (c) copies of one photo (d) correct labels
8. 8.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
9. 9.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) forget everything (d) better at its task
10. 10.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
13. 13.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
14. 14.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
15. 15.🔍 Which is the odd one out? (a) labels added at random (b) checking labels twice (c) clear, sharp examples (d) many varied examples
16. 16.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) examples of every type (d) wrong labels
17. 17.🔍 Which is the odd one out? (a) many varied examples (b) clear, sharp examples (c) new data for testing (d) very few examples
18. 18.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) labels added at random (d) checking labels twice
19. 19.True or false: “new data for testing” is good for training a model. (a) True (b) False
20. 20.Which of these is bad for training a model? (a) correct labels (b) new data for testing (c) labels added at random (d) many varied examples
21. 21.🥭 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
22. 22.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
23. 23.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
24. 24.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
25. 25.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
26. 26.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
27. 27.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
28. 28.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) clean screens (d) charge faster
29. 29.True or false: “new data for testing” is bad for training a model. (a) False (b) True
30. 30.True or false: “correct labels” is bad for training a model. (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) many varied examples (b) only one kind of example (c) checking labels twice (d) photos in many lights
32. 32.Which of these is good for training a model? (a) blurry, unclear photos (b) wrong labels (c) testing on training data (d) examples of every type
33. 33.🏷️ 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
34. 34.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
35. 35.True or false: “testing on training data” 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) False (b) True
37. 37.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) testing on training data (d) correct labels
38. 38.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
39. 39.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
40. 40.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True

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