Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 480 · 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) very few examples (b) testing on training data (c) blurry, unclear photos (d) photos in many lights
2. 2.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
3. 3.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
4. 4.Which of these is good for training a model? (a) labels added at random (b) many varied examples (c) wrong labels (d) blurry, unclear photos
5. 5.True or false: “labels added at random” is good for training a model. (a) True (b) False
6. 6.🔍 Which is the odd one out? (a) new data for testing (b) copies of one photo (c) examples of every type (d) clear, sharp examples
7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
8. 8.True or false: “correct labels” is bad for training a model. (a) True (b) False
9. 9.🏷️ 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
10. 10.🏷️ 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
11. 11.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
12. 12.True or false: “only one kind of example” is good for training a model. (a) True (b) False
13. 13.True or false: “many varied examples” is bad for training a model. (a) True (b) False
14. 14.🔍 Which is the odd one out? (a) only one kind of example (b) correct labels (c) wrong labels (d) labels added at random
15. 15.Which of these is good for training a model? (a) examples of every type (b) only one kind of example (c) very few examples (d) testing on training data
16. 16.True or false: “examples of every type” is bad for training a model. (a) False (b) True
17. 17.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
18. 18.Which of these is good for training a model? (a) very few examples (b) photos in many lights (c) wrong labels (d) testing on training data
19. 19.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) only one kind of example (d) correct labels
20. 20.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
21. 21.🏷️ 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
22. 22.🏷️ 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
23. 23.🏷️ 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) not spam (b) spam
24. 24.🔍 Which is the odd one out? (a) checking labels twice (b) new data for testing (c) testing on training data (d) photos in many lights
25. 25.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
26. 26.🐶 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) a song about dogs (d) one single photo
27. 27.Which of these is good for training a model? (a) labels added at random (b) clear, sharp examples (c) copies of one photo (d) only one kind of example
28. 28.True or false: “examples of every type” is good for training a model. (a) False (b) True
29. 29.🔍 Which is the odd one out? (a) only one kind of example (b) examples of every type (c) checking labels twice (d) clear, sharp examples
30. 30.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
31. 31.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
32. 32.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
33. 33.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it may get it wrong (c) it will shut down (d) it will be perfect
34. 34.True or false: “labels added at random” is bad for training a model. (a) True (b) False
35. 35.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
36. 36.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
37. 37.🔍 Which is the odd one out? (a) blurry, unclear photos (b) examples of every type (c) correct labels (d) photos in many lights
38. 38.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
39. 39.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
40. 40.🔍 Which is the odd one out? (a) correct labels (b) photos in many lights (c) examples of every type (d) very few examples

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