Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 590 · 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: “testing on training data” is good for training a model. (a) True (b) False
2. 2.🥭 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
3. 3.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
4. 4.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
5. 5.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
6. 6.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
7. 7.🏷️ 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
8. 8.🔍 Which is the odd one out? (a) many varied examples (b) checking labels twice (c) correct labels (d) wrong labels
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
10. 10.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
11. 11.Which of these is good for training a model? (a) wrong labels (b) photos in many lights (c) blurry, unclear photos (d) very few examples
12. 12.🏷️ 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
13. 13.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
14. 14.Which of these is good for training a model? (a) blurry, unclear photos (b) copies of one photo (c) labels added at random (d) clear, sharp examples
15. 15.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
16. 16.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
17. 17.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
18. 18.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
19. 19.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
20. 20.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) many labelled photos (d) a list of rules only
21. 21.Which of these is bad for training a model? (a) new data for testing (b) checking labels twice (c) correct labels (d) only one kind of example
22. 22.Which of these is bad for training a model? (a) blurry, unclear photos (b) examples of every type (c) photos in many lights (d) new data for testing
23. 23.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
24. 24.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
25. 25.True or false: “testing on training data” is bad for training a model. (a) True (b) False
26. 26.Which of these is bad for training a model? (a) wrong labels (b) new data for testing (c) correct labels (d) clear, sharp examples
27. 27.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
28. 28.Which of these is bad for training a model? (a) checking labels twice (b) photos in many lights (c) correct labels (d) copies of one photo
29. 29.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
30. 30.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
31. 31.🔍 Which is the odd one out? (a) wrong labels (b) testing on training data (c) only one kind of example (d) examples of every type
32. 32.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
33. 33.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
34. 34.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) labels added at random (d) examples of every type
35. 35.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the price (c) the font size (d) a sticker on a laptop
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.True or false: “only one kind of example” is good for training a model. (a) True (b) False
38. 38.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
39. 39.🏷️ 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
40. 40.Which of these is good for training a model? (a) only one kind of example (b) checking labels twice (c) labels added at random (d) wrong labels

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