Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 381 · 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.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
2. 2.🏷️ 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
3. 3.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
4. 4.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
5. 5.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
6. 6.Which of these is bad for training a model? (a) copies of one photo (b) checking labels twice (c) many varied examples (d) correct labels
7. 7.🏷️ 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
8. 8.Which of these is bad for training a model? (a) new data for testing (b) clear, sharp examples (c) correct labels (d) blurry, unclear photos
9. 9.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
10. 10.Which of these is bad for training a model? (a) many varied examples (b) testing on training data (c) photos in many lights (d) correct labels
11. 11.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
12. 12.🔍 Which is the odd one out? (a) testing on training data (b) copies of one photo (c) photos in many lights (d) only one kind of example
13. 13.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
14. 14.🏷️ 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
15. 15.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
16. 16.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
17. 17.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
18. 18.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
19. 19.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
20. 20.True or false: “testing on training data” is good for training a model. (a) False (b) True
21. 21.True or false: “very few examples” is good for training a model. (a) True (b) False
22. 22.🔍 Which is the odd one out? (a) labels added at random (b) photos in many lights (c) examples of every type (d) checking labels twice
23. 23.🔍 Which is the odd one out? (a) only one kind of example (b) new data for testing (c) checking labels twice (d) photos in many lights
24. 24.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
25. 25.True or false: “many varied examples” is bad for training a model. (a) True (b) False
26. 26.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
27. 27.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
28. 28.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
29. 29.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the font size (d) the price
30. 30.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) a list of rules only (d) many labelled photos
31. 31.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) labels added at random (b) very few examples (c) copies of one photo (d) correct labels
33. 33.🔍 Which is the odd one out? (a) examples of every type (b) many varied examples (c) very few examples (d) clear, sharp examples
34. 34.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
35. 35.Which of these is bad for training a model? (a) wrong labels (b) new data for testing (c) clear, sharp examples (d) checking labels twice
36. 36.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) better at its task (d) change colour
37. 37.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
38. 38.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
40. 40.🔍 Which is the odd one out? (a) copies of one photo (b) very few examples (c) labels added at random (d) new data for testing

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