Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 160 · 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.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it will shut down (d) it may get it wrong
2. 2.📚 Usually, more good examples make a model… (a) better at its task (b) change colour (c) slower to switch on (d) forget everything
3. 3.True or false: “only one kind of example” is good for training a model. (a) True (b) False
4. 4.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
5. 5.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
6. 6.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
7. 7.🔍 Which is the odd one out? (a) labels added at random (b) only one kind of example (c) testing on training data (d) many varied examples
8. 8.🔍 Which is the odd one out? (a) testing on training data (b) labels added at random (c) checking labels twice (d) only one kind of example
9. 9.Which of these is bad for training a model? (a) photos in many lights (b) checking labels twice (c) testing on training data (d) correct labels
10. 10.🔍 Which is the odd one out? (a) copies of one photo (b) wrong labels (c) clear, sharp examples (d) blurry, unclear photos
11. 11.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
12. 12.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
13. 13.🔍 Which is the odd one out? (a) new data for testing (b) copies of one photo (c) correct labels (d) checking labels twice
14. 14.🔍 Which is the odd one out? (a) new data for testing (b) very few examples (c) photos in many lights (d) many varied examples
15. 15.True or false: “new data for testing” is good for training a model. (a) True (b) False
16. 16.Which of these is bad for training a model? (a) examples of every type (b) clear, sharp examples (c) many varied examples (d) very few examples
17. 17.Which of these is bad for training a model? (a) clear, sharp examples (b) wrong labels (c) correct labels (d) checking labels twice
18. 18.🐶 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
19. 19.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
20. 20.True or false: “very few examples” is bad for training a model. (a) True (b) False
21. 21.🏷️ 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
22. 22.True or false: “testing on training data” is bad for training a model. (a) True (b) False
23. 23.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
24. 24.True or false: “examples of every type” is bad for training a model. (a) True (b) False
25. 25.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) print pages (d) learn from data
26. 26.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
27. 27.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
28. 28.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) the font size (d) a sticker on a laptop
29. 29.Which of these is good for training a model? (a) labels added at random (b) examples of every type (c) copies of one photo (d) only one kind of example
30. 30.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
31. 31.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
32. 32.Which of these is good for training a model? (a) copies of one photo (b) many varied examples (c) very few examples (d) wrong labels
33. 33.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
34. 34.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
35. 35.🔍 Which is the odd one out? (a) labels added at random (b) blurry, unclear photos (c) very few examples (d) examples of every type
36. 36.True or false: “testing on training data” is good for training a model. (a) True (b) False
37. 37.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
38. 38.True or false: “new data for testing” is bad for training a model. (a) True (b) False
39. 39.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
40. 40.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False

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