Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 35 · 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.Which of these is bad for training a model? (a) clear, sharp examples (b) examples of every type (c) testing on training data (d) many varied examples
2. 2.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
3. 3.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) checking labels twice (d) copies of one photo
4. 4.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
5. 5.True or false: “new data for testing” is bad for training a model. (a) False (b) True
6. 6.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the font size (c) a sticker on a laptop (d) the price
7. 7.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
8. 8.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
9. 9.True or false: “photos in many lights” is good for training a model. (a) True (b) False
10. 10.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) photos in many lights (d) wrong labels
11. 11.🔍 Which is the odd one out? (a) clear, sharp examples (b) wrong labels (c) new data for testing (d) many varied examples
12. 12.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) many labelled photos (d) one single photo
13. 13.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
14. 14.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
15. 15.🔍 Which is the odd one out? (a) very few examples (b) only one kind of example (c) testing on training data (d) checking labels twice
16. 16.🔍 Which is the odd one out? (a) copies of one photo (b) wrong labels (c) new data for testing (d) blurry, unclear photos
17. 17.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
18. 18.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
19. 19.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) correct labels (b) photos in many lights (c) many varied examples (d) only one kind of example
21. 21.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
22. 22.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) change colour (d) slower to switch on
23. 23.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
24. 24.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
25. 25.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
26. 26.Which of these is bad for training a model? (a) photos in many lights (b) very few examples (c) new data for testing (d) many varied examples
27. 27.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
28. 28.🏷️ 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
29. 29.🏷️ 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
30. 30.True or false: “many varied examples” is bad for training a model. (a) True (b) False
31. 31.Which of these is bad for training a model? (a) clear, sharp examples (b) correct labels (c) labels added at random (d) photos in many lights
32. 32.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
33. 33.True or false: “testing on training data” is good for training a model. (a) False (b) True
34. 34.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) new data for testing (d) blurry, unclear photos
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
36. 36.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) learn from data (d) clean screens
37. 37.Which of these is bad for training a model? (a) photos in many lights (b) new data for testing (c) wrong labels (d) correct labels
38. 38.Which of these is good for training a model? (a) many varied examples (b) very few examples (c) testing on training data (d) blurry, unclear photos
39. 39.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
40. 40.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training

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