Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 387 · 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 of these is bad for training a model? (a) checking labels twice (b) new data for testing (c) testing on training data (d) photos in many lights
2. 2.True or false: “examples of every type” is good for training a model. (a) True (b) False
3. 3.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) better at its task (d) slower to switch on
4. 4.🏷️ 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
5. 5.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
6. 6.🔍 Which is the odd one out? (a) blurry, unclear photos (b) testing on training data (c) copies of one photo (d) clear, sharp examples
7. 7.Which of these is good for training a model? (a) correct labels (b) wrong labels (c) copies of one photo (d) blurry, unclear photos
8. 8.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
9. 9.True or false: “very few examples” is bad for training a model. (a) False (b) True
10. 10.🐶 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
11. 11.True or false: “very few examples” is good for training a model. (a) True (b) False
12. 12.True or false: “wrong labels” is bad for training a model. (a) False (b) True
13. 13.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
14. 14.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
15. 15.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
16. 16.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
17. 17.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
18. 18.🔍 Which is the odd one out? (a) correct labels (b) checking labels twice (c) new data for testing (d) testing on training data
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
20. 20.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
21. 21.True or false: “many varied examples” is bad for training a model. (a) True (b) False
22. 22.Which of these is bad for training a model? (a) blurry, unclear photos (b) checking labels twice (c) photos in many lights (d) many varied examples
23. 23.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
24. 24.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
25. 25.Which of these is bad for training a model? (a) examples of every type (b) new data for testing (c) photos in many lights (d) copies of one photo
26. 26.🔍 Which is the odd one out? (a) blurry, unclear photos (b) copies of one photo (c) checking labels twice (d) only one kind of example
27. 27.🔍 Which is the odd one out? (a) labels added at random (b) clear, sharp examples (c) examples of every type (d) many varied examples
28. 28.🏷️ What is a “label” in machine learning? (a) the font size (b) the right answer tag (c) a sticker on a laptop (d) the price
29. 29.Which of these is bad for training a model? (a) photos in many lights (b) new data for testing (c) clear, sharp examples (d) only one kind of example
30. 30.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
32. 32.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
33. 33.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
34. 34.True or false: “many varied examples” is good for training a model. (a) True (b) False
35. 35.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
36. 36.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
37. 37.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
38. 38.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
39. 39.🏷️ 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
40. 40.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) labels added at random (d) examples of every type

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