Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 494 · 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 “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
2. 2.True or false: “testing on training data” is good for training a model. (a) True (b) False
3. 3.🏷️ 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
4. 4.Which of these is good for training a model? (a) very few examples (b) checking labels twice (c) labels added at random (d) only one kind of example
5. 5.🔍 Which is the odd one out? (a) labels added at random (b) photos in many lights (c) correct labels (d) examples of every type
6. 6.🥭 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
7. 7.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
8. 8.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
9. 9.Which of these is good for training a model? (a) blurry, unclear photos (b) examples of every type (c) labels added at random (d) copies of one photo
10. 10.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) the right answer tag (d) a sticker on a laptop
11. 11.Which of these is bad for training a model? (a) photos in many lights (b) clear, sharp examples (c) wrong labels (d) correct labels
12. 12.True or false: “very few examples” is bad for training a model. (a) False (b) True
13. 13.🔍 Which is the odd one out? (a) checking labels twice (b) only one kind of example (c) new data for testing (d) examples of every type
14. 14.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
15. 15.True or false: “testing on training data” is bad for training a model. (a) True (b) False
16. 16.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
17. 17.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
18. 18.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
19. 19.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
20. 20.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) only one kind of example (d) photos in many lights
21. 21.True or false: “examples of every type” is good for training a model. (a) True (b) False
22. 22.🔍 Which is the odd one out? (a) very few examples (b) correct labels (c) labels added at random (d) copies of one photo
23. 23.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
24. 24.Which of these is bad for training a model? (a) many varied examples (b) labels added at random (c) clear, sharp examples (d) correct labels
25. 25.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) blurry, unclear photos (d) clear, sharp examples
26. 26.True or false: “many varied examples” is good for training a model. (a) True (b) False
27. 27.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
28. 28.🏷️ 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
29. 29.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) slower to switch on (d) better at its task
30. 30.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
31. 31.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
32. 32.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) print pages (d) learn from data
33. 33.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) one single photo (d) a song about dogs
34. 34.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
35. 35.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
36. 36.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
37. 37.🏷️ 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
38. 38.Which of these is good for training a model? (a) copies of one photo (b) many varied examples (c) labels added at random (d) very few examples
39. 39.True or false: “labels added at random” is good for training a model. (a) False (b) True
40. 40.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True

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