Machine Learning for Kids Worksheet

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

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