Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 404 · 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: “new data for testing” is bad for training a model. (a) False (b) True
2. 2.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) print pages (d) learn from data
3. 3.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
4. 4.🔍 Which is the odd one out? (a) checking labels twice (b) examples of every type (c) correct labels (d) wrong labels
5. 5.True or false: “many varied examples” is good for training a model. (a) True (b) False
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
7. 7.Which of these is bad for training a model? (a) correct labels (b) only one kind of example (c) photos in many lights (d) clear, sharp examples
8. 8.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
9. 9.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it will be perfect (d) it may get it wrong
10. 10.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) slower to switch on (d) forget everything
11. 11.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
12. 12.Which of these is good for training a model? (a) wrong labels (b) blurry, unclear photos (c) photos in many lights (d) only one kind of example
13. 13.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
14. 14.Which of these is bad for training a model? (a) clear, sharp examples (b) wrong labels (c) correct labels (d) checking labels twice
15. 15.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
16. 16.True or false: “testing on training data” is bad for training a model. (a) True (b) False
17. 17.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
18. 18.Which of these is good for training a model? (a) many varied examples (b) blurry, unclear photos (c) wrong labels (d) testing on training data
19. 19.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) one single photo (c) many labelled photos (d) a list of rules only
20. 20.True or false: “only one kind of example” is good for training a model. (a) False (b) True
21. 21.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
22. 22.🔍 Which is the odd one out? (a) checking labels twice (b) correct labels (c) examples of every type (d) labels added at random
23. 23.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
24. 24.🏷️ 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
25. 25.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
26. 26.Which of these is bad for training a model? (a) very few examples (b) clear, sharp examples (c) examples of every type (d) many varied examples
27. 27.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the font size (c) a sticker on a laptop (d) the price
28. 28.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
29. 29.🔍 Which is the odd one out? (a) clear, sharp examples (b) very few examples (c) checking labels twice (d) examples of every type
30. 30.🔍 Which is the odd one out? (a) testing on training data (b) copies of one photo (c) wrong labels (d) clear, sharp examples
31. 31.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
32. 32.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
33. 33.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
34. 34.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) examples of every type (d) very few examples
35. 35.🏷️ 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
36. 36.True or false: “checking labels twice” is good for training a model. (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) only one kind of example (b) copies of one photo (c) wrong labels (d) many varied examples
38. 38.Which of these is good for training a model? (a) correct labels (b) only one kind of example (c) wrong labels (d) very few examples
39. 39.🔍 Which is the odd one out? (a) very few examples (b) copies of one photo (c) only one kind of example (d) correct labels
40. 40.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True

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