Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 125 · 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) very few examples (b) photos in many lights (c) blurry, unclear photos (d) copies of one photo
2. 2.True or false: “copies of one photo” is good for training a model. (a) False (b) True
3. 3.Which of these is bad for training a model? (a) many varied examples (b) correct labels (c) blurry, unclear photos (d) checking labels twice
4. 4.🏷️ 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
5. 5.Which of these is bad for training a model? (a) many varied examples (b) wrong labels (c) examples of every type (d) clear, sharp examples
6. 6.🔍 Which is the odd one out? (a) very few examples (b) testing on training data (c) many varied examples (d) blurry, unclear photos
7. 7.Which of these is good for training a model? (a) testing on training data (b) blurry, unclear photos (c) very few examples (d) many varied examples
8. 8.🏷️ 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
9. 9.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
10. 10.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
11. 11.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
12. 12.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
13. 13.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) learn from data (d) clean screens
14. 14.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
15. 15.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
16. 16.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
17. 17.🔍 Which is the odd one out? (a) checking labels twice (b) only one kind of example (c) copies of one photo (d) very few examples
18. 18.🔍 Which is the odd one out? (a) new data for testing (b) many varied examples (c) examples of every type (d) copies of one photo
19. 19.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
20. 20.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) checking labels twice (b) many varied examples (c) correct labels (d) wrong labels
22. 22.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) very few examples (b) only one kind of example (c) copies of one photo (d) correct labels
24. 24.🔍 Which is the odd one out? (a) new data for testing (b) wrong labels (c) labels added at random (d) very few examples
25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
26. 26.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
27. 27.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) many labelled photos (d) a song about dogs
28. 28.Which of these is good for training a model? (a) examples of every type (b) labels added at random (c) only one kind of example (d) copies of one photo
29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
30. 30.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
31. 31.True or false: “testing on training data” is bad for training a model. (a) True (b) False
32. 32.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
33. 33.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
34. 34.🏷️ 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
35. 35.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
36. 36.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) blurry, unclear photos (d) new data for testing
37. 37.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
38. 38.Which of these is bad for training a model? (a) photos in many lights (b) copies of one photo (c) correct labels (d) examples of every type
39. 39.Which of these is bad for training a model? (a) examples of every type (b) new data for testing (c) many varied examples (d) very few examples
40. 40.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) better at its task (d) forget everything

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