Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 185 · 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.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
2. 2.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
3. 3.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) learn from data (d) clean screens
4. 4.True or false: “new data for testing” is good for training a model. (a) False (b) True
5. 5.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
6. 6.True or false: “wrong labels” is bad for training a model. (a) True (b) False
7. 7.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
8. 8.True or false: “checking labels twice” is good for training a model. (a) False (b) True
9. 9.🏷️ 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
10. 10.Which of these is bad for training a model? (a) examples of every type (b) photos in many lights (c) correct labels (d) only one kind of example
11. 11.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it may get it wrong (d) it will turn yellow
12. 12.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
13. 13.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the font size (d) the right answer tag
14. 14.🏷️ 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
15. 15.🏷️ 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
16. 16.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
17. 17.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
18. 18.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) blurry, unclear photos (d) new data for testing
19. 19.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
20. 20.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
21. 21.Which of these is good for training a model? (a) copies of one photo (b) photos in many lights (c) labels added at random (d) very few examples
22. 22.Which of these is good for training a model? (a) blurry, unclear photos (b) copies of one photo (c) testing on training data (d) many varied examples
23. 23.🏷️ 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
24. 24.True or false: “copies of one photo” is good for training a model. (a) True (b) False
25. 25.True or false: “many varied examples” is good for training a model. (a) False (b) True
26. 26.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
27. 27.True or false: “correct labels” is bad for training a model. (a) False (b) True
28. 28.Which of these is bad for training a model? (a) correct labels (b) copies of one photo (c) new data for testing (d) clear, sharp examples
29. 29.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
30. 30.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) many varied examples (b) labels added at random (c) new data for testing (d) clear, sharp examples
32. 32.📚 Usually, more good examples make a model… (a) change colour (b) slower to switch on (c) forget everything (d) better at its task
33. 33.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
34. 34.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
36. 36.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) copies of one photo (d) correct labels
37. 37.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
38. 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
39. 39.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
40. 40.🔍 Which is the odd one out? (a) photos in many lights (b) new data for testing (c) many varied examples (d) very few examples

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