Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 311 · 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 “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
2. 2.🏷️ 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
3. 3.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the price (d) the font size
4. 4.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a song about dogs (d) a list of rules only
5. 5.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
6. 6.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
7. 7.True or false: “correct labels” is bad for training a model. (a) False (b) True
8. 8.🔍 Which is the odd one out? (a) checking labels twice (b) examples of every type (c) wrong labels (d) many varied examples
9. 9.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
10. 10.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) very few examples (d) many varied examples
11. 11.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will turn yellow (d) it will be perfect
12. 12.🏷️ 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
13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
14. 14.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
15. 15.🏷️ 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
16. 16.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
17. 17.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
18. 18.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
19. 19.🔍 Which is the odd one out? (a) new data for testing (b) examples of every type (c) labels added at random (d) checking labels twice
20. 20.Which of these is good for training a model? (a) very few examples (b) labels added at random (c) wrong labels (d) correct labels
21. 21.True or false: “examples of every type” is bad for training a model. (a) True (b) False
22. 22.Which of these is bad for training a model? (a) many varied examples (b) very few examples (c) correct labels (d) photos in many lights
23. 23.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
24. 24.🔍 Which is the odd one out? (a) blurry, unclear photos (b) very few examples (c) copies of one photo (d) clear, sharp examples
25. 25.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
26. 26.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
27. 27.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
28. 28.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
29. 29.Which of these is bad for training a model? (a) new data for testing (b) examples of every type (c) correct labels (d) labels added at random
30. 30.🏷️ 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
31. 31.True or false: “wrong labels” is bad for training a model. (a) True (b) False
32. 32.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
33. 33.Which of these is bad for training a model? (a) checking labels twice (b) only one kind of example (c) photos in many lights (d) correct labels
34. 34.🔍 Which is the odd one out? (a) testing on training data (b) photos in many lights (c) very few examples (d) labels added at random
35. 35.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
36. 36.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
37. 37.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) slower to switch on (d) better at its task
38. 38.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
39. 39.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
40. 40.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training

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