Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 69 · 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.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
2. 2.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
3. 3.True or false: “examples of every type” is good for training a model. (a) True (b) False
4. 4.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
5. 5.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) testing on training data (d) clear, sharp examples
6. 6.Which of these is good for training a model? (a) testing on training data (b) labels added at random (c) blurry, unclear photos (d) correct labels
7. 7.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
8. 8.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
9. 9.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
11. 11.True or false: “labels added at random” is bad for training a model. (a) False (b) True
12. 12.Which of these is good for training a model? (a) testing on training data (b) new data for testing (c) copies of one photo (d) only one kind of example
13. 13.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
14. 14.Which of these is good for training a model? (a) only one kind of example (b) wrong labels (c) copies of one photo (d) clear, sharp examples
15. 15.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
16. 16.🏷️ What is a “label” in machine learning? (a) the font size (b) the right answer tag (c) the price (d) a sticker on a laptop
17. 17.Which of these is bad for training a model? (a) copies of one photo (b) many varied examples (c) examples of every type (d) checking labels twice
18. 18.Which of these is good for training a model? (a) very few examples (b) wrong labels (c) labels added at random (d) examples of every type
19. 19.Which of these is bad for training a model? (a) many varied examples (b) only one kind of example (c) new data for testing (d) checking labels twice
20. 20.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
21. 21.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
22. 22.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
23. 23.🔍 Which is the odd one out? (a) clear, sharp examples (b) photos in many lights (c) copies of one photo (d) many varied examples
24. 24.🔍 Which is the odd one out? (a) clear, sharp examples (b) many varied examples (c) very few examples (d) examples of every type
25. 25.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
26. 26.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
27. 27.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
28. 28.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) slower to switch on (d) better at its task
29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
30. 30.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
31. 31.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) photos in many lights (b) examples of every type (c) blurry, unclear photos (d) new data for testing
33. 33.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
34. 34.🔍 Which is the odd one out? (a) examples of every type (b) checking labels twice (c) photos in many lights (d) wrong labels
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
36. 36.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
37. 37.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) one single photo (d) many labelled photos
38. 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
39. 39.True or false: “correct labels” is bad for training a model. (a) True (b) False
40. 40.Which of these is bad for training a model? (a) correct labels (b) clear, sharp examples (c) checking labels twice (d) very few examples

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