AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 267 · 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.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
2. 2.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
3. 3.🏷️ 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
4. 4.True or false: “correct labels” is good for training a model. (a) False (b) True
5. 5.Which of these is AI that sorts, spots or predicts (not generative)? (a) turning speech to text (b) inventing a recipe (c) creating a cartoon (d) writing a new poem
6. 6.Which of these uses AI? (a) a fan regulator (b) a doorbell (c) photos grouped by face (d) a printed timetable
7. 7.Which of these is bad for training a model? (a) photos in many lights (b) testing on training data (c) checking labels twice (d) many varied examples
8. 8.🔍 Which is the odd one out? (a) correct labels (b) photos in many lights (c) many varied examples (d) wrong labels
9. 9.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
12. 12.🔍 Which is the odd one out? (a) copies of one photo (b) wrong labels (c) testing on training data (d) many varied examples
13. 13.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) creating a cartoon (c) sorting photos by face (d) spotting spam
14. 14.Which of these is a myth about AI? (a) AI learns from data (b) confident means correct (c) AI answers need checking (d) AI copies data patterns
15. 15.🔍 Which is the odd one out? (a) clear, sharp examples (b) checking labels twice (c) photos in many lights (d) testing on training data
16. 16.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
17. 17.Which of these is a myth about AI? (a) AI can be wrong (b) long answers are true (c) AI can make up facts (d) AI copies data patterns
18. 18.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
19. 19.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
20. 20.🔍 Which is the odd one out? (a) video suggestions (b) a digital watch (c) a torch (d) a fan regulator
21. 21.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recommending (b) recognising (c) predicting (d) generating
22. 22.True or false: a camera app naming the flower you point at is AI recognising something. (a) False (b) True
23. 23.Which of these describes how a normal program works? (a) follows fixed rules (b) learns from examples (c) handles unseen examples (d) spots patterns in data
24. 24.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
27. 27.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
28. 28.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) False (b) True
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) not spam (b) spam
30. 30.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) predicting (b) recognising (c) generating (d) recommending
31. 31.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
32. 32.🔍 Which is the odd one out? (a) video suggestions (b) a digital watch (c) a spam filter (d) face unlock on a phone
33. 33.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) guess (c) ask it to repeat (d) pick a lucky number
34. 34.True or false: “confident means correct” is a fact about AI. (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) AI can be wrong (b) AI can mix up numbers (c) long answers are true (d) AI can make up facts
36. 36.Which of these uses AI? (a) an app translating signs (b) a kitchen weighing scale (c) a microwave timer (d) a fan regulator
37. 37.True or false: turning your spoken words into typed text is AI predicting something. (a) True (b) False
38. 38.True or false: “add varied examples” adds to bias. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
40. 40.Which of these is training data? (a) old emails marked spam (b) the learned patterns (c) flagging a new email (d) the trained program

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