Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 512 · 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 is the odd one out? (a) checking labels twice (b) wrong labels (c) blurry, unclear photos (d) very few examples
2. 2.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
3. 3.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
4. 4.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
5. 5.Which of these is bad for training a model? (a) correct labels (b) only one kind of example (c) new data for testing (d) many varied examples
6. 6.🏷️ 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
7. 7.🔍 Which is the odd one out? (a) copies of one photo (b) many varied examples (c) testing on training data (d) very few examples
8. 8.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a list of rules only (d) a song about dogs
9. 9.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
10. 10.Which of these is bad for training a model? (a) wrong labels (b) photos in many lights (c) examples of every type (d) correct labels
11. 11.🏷️ 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
12. 12.True or false: “very few examples” is good for training a model. (a) True (b) False
13. 13.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
14. 14.Which of these is good for training a model? (a) wrong labels (b) labels added at random (c) testing on training data (d) checking labels twice
15. 15.True or false: “only one kind of example” is good for training a model. (a) False (b) True
16. 16.True or false: “correct labels” is bad for training a model. (a) True (b) False
17. 17.Which of these is good for training a model? (a) very few examples (b) examples of every type (c) blurry, unclear photos (d) only one kind of example
18. 18.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
19. 19.🔍 Which is the odd one out? (a) correct labels (b) many varied examples (c) copies of one photo (d) new data for testing
20. 20.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
21. 21.🔍 Which is the odd one out? (a) new data for testing (b) very few examples (c) examples of every type (d) checking labels twice
22. 22.True or false: “correct labels” is good for training a model. (a) True (b) False
23. 23.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
24. 24.🔍 Which is the odd one out? (a) testing on training data (b) photos in many lights (c) very few examples (d) only one kind of example
25. 25.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
26. 26.Which of these is good for training a model? (a) correct labels (b) only one kind of example (c) wrong labels (d) copies of one photo
27. 27.📚 Usually, more good examples make a model… (a) change colour (b) slower to switch on (c) better at its task (d) forget everything
28. 28.Which of these is good for training a model? (a) copies of one photo (b) only one kind of example (c) photos in many lights (d) testing on training data
29. 29.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will shut down (c) it will turn yellow (d) it will be perfect
30. 30.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
31. 31.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
32. 32.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
33. 33.🏷️ 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
34. 34.Which of these is bad for training a model? (a) testing on training data (b) new data for testing (c) photos in many lights (d) clear, sharp examples
35. 35.True or false: “many varied examples” is good for training a model. (a) True (b) False
36. 36.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
37. 37.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
38. 38.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) a sticker on a laptop (d) the right answer tag
39. 39.Which of these is bad for training a model? (a) clear, sharp examples (b) new data for testing (c) labels added at random (d) examples of every type
40. 40.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training

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