AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 360 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.🏷️ 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
2. 2.Which of these is bad for training a model? (a) photos in many lights (b) testing on training data (c) examples of every type (d) correct labels
3. 3.Which of these is bad for training a model? (a) many varied examples (b) only one kind of example (c) photos in many lights (d) new data for testing
4. 4.🔍 Which is the odd one out? (a) clear, sharp examples (b) new data for testing (c) wrong labels (d) many varied examples
5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
6. 6.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) ignore complaints (d) copy old unfair choices
7. 7.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) sorting photos by face (c) spotting spam (d) writing a new poem
8. 8.True or false: “long answers are true” is a myth about AI. (a) False (b) True
9. 9.True or false: “does exactly as coded” describes how AI works. (a) False (b) True
10. 10.📅 An AI gives a date for a history event. How can you check? (a) guess (b) ask it to repeat (c) pick a lucky number (d) look in your textbook
11. 11.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
12. 12.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
13. 13.Which of these is a fact about AI? (a) AI knows everything (b) long answers are true (c) AI always checks facts (d) AI learns from data
14. 14.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
15. 15.🏷️ 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
16. 16.🔍 Which is the odd one out? (a) a voice assistant (b) a spam filter (c) photos grouped by face (d) a light switch
17. 17.🔍 Which is the odd one out? (a) new data for testing (b) many varied examples (c) very few examples (d) photos in many lights
18. 18.🔍 Which is the odd one out? (a) a stopwatch (b) a map predicting traffic (c) an app translating signs (d) video suggestions
19. 19.Which of these adds to bias? (a) test on many groups (b) use one group only (c) balance the data (d) add varied examples
20. 20.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
21. 21.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
22. 22.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) add more of the same (d) fix wrong labels
23. 23.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) one single photo (c) a list of rules only (d) many labelled photos
24. 24.True or false: an online shop showing “you may also like” is AI recognising something. (a) True (b) False
25. 25.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) printing (c) charging (d) cooking
26. 26.✍️ How does an AI chatbot write its replies? (a) copies one website (b) uses magic (c) predicts likely words (d) asks a person
27. 27.📱 What is the AI doing here: a keyboard guessing your next word? (a) generating (b) recognising (c) recommending (d) predicting
28. 28.True or false: “balance the data” helps reduce bias. (a) True (b) False
29. 29.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
30. 30.Which of these describes how a normal program works? (a) improves with more data (b) follows fixed rules (c) handles unseen examples (d) gives a likely answer
31. 31.True or false: “write a poem about the monsoon” asks for an image. (a) False (b) True
32. 32.Which of these uses AI? (a) a torch (b) a printed timetable (c) a voice assistant (d) a calculator
33. 33.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
34. 34.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
35. 35.Which of these is bad for training a model? (a) new data for testing (b) photos in many lights (c) labels added at random (d) examples of every type
36. 36.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
37. 37.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
38. 38.Which of these is good for training a model? (a) many varied examples (b) copies of one photo (c) very few examples (d) labels added at random
39. 39.True or false: “past weather records” is the model. (a) False (b) True
40. 40.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact

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