Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 257 · 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: “only one kind of example” is good for training a model. (a) True (b) False
2. 2.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
3. 3.Which of these is good for training a model? (a) copies of one photo (b) checking labels twice (c) labels added at random (d) blurry, unclear photos
4. 4.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) only one kind of example (d) many varied examples
5. 5.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
6. 6.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) print pages (d) learn from data
7. 7.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it will be perfect (d) it may get it wrong
8. 8.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
9. 9.🔍 Which is the odd one out? (a) only one kind of example (b) testing on training data (c) new data for testing (d) blurry, unclear photos
10. 10.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) photos in many lights (d) labels added at random
11. 11.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
12. 12.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) correct labels (d) labels added at random
13. 13.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
14. 14.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the right answer tag (d) the price
15. 15.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
16. 16.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
17. 17.Which of these is bad for training a model? (a) many varied examples (b) wrong labels (c) correct labels (d) photos in many lights
18. 18.🏷️ 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
19. 19.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
20. 20.🔍 Which is the odd one out? (a) very few examples (b) copies of one photo (c) photos in many lights (d) blurry, unclear photos
21. 21.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
22. 22.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
23. 23.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) change colour (d) forget everything
24. 24.Which of these is bad for training a model? (a) only one kind of example (b) correct labels (c) many varied examples (d) checking labels twice
25. 25.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
27. 27.🏷️ 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
28. 28.Which of these is good for training a model? (a) testing on training data (b) many varied examples (c) labels added at random (d) copies of one photo
29. 29.🏷️ 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
30. 30.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) many labelled photos (c) one single photo (d) a song about dogs
31. 31.Which of these is good for training a model? (a) copies of one photo (b) new data for testing (c) labels added at random (d) only one kind of example
32. 32.True or false: “examples of every type” is good for training a model. (a) False (b) True
33. 33.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
34. 34.True or false: “very few examples” is good for training a model. (a) False (b) True
35. 35.🔍 Which is the odd one out? (a) photos in many lights (b) examples of every type (c) new data for testing (d) very few examples
36. 36.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
37. 37.Which of these is bad for training a model? (a) testing on training data (b) many varied examples (c) photos in many lights (d) correct labels
38. 38.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
39. 39.Which of these is good for training a model? (a) examples of every type (b) blurry, unclear photos (c) wrong labels (d) labels added at random
40. 40.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training

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