AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 916 · 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.True or false: “flagging a new email” is training data. (a) True (b) False
2. 2.🔍 Which is the odd one out? (a) reading number plates (b) suggesting a video (c) predicting rain (d) inventing a recipe
3. 3.Which of these uses AI? (a) a digital watch (b) a voice assistant (c) a fan regulator (d) a microwave timer
4. 4.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
5. 5.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
6. 6.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
7. 7.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) True (b) False
8. 8.🔍 Which is the odd one out? (a) composing a new tune (b) reading number plates (c) writing a new poem (d) inventing a recipe
9. 9.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) no, check it anyway (c) yes, always
10. 10.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
12. 12.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) the trained program (d) 500 labelled leaf photos
13. 13.Which of these is a fact about AI? (a) confident means correct (b) AI knows everything (c) AI can be wrong (d) AI is never wrong
14. 14.Which of these is bad for training a model? (a) clear, sharp examples (b) very few examples (c) correct labels (d) new data for testing
15. 15.🔍 Which is the odd one out? (a) spotting spam (b) reading number plates (c) suggesting a video (d) making up a story
16. 16.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
17. 17.🏷️ 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
18. 18.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) no, it finds patterns (c) yes, just like us (d) yes, it gets sad
19. 19.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) voice typing (b) an app translating signs (c) a torch (d) an image generator
21. 21.🔍 Which is the odd one out? (a) AI answers need checking (b) AI always checks facts (c) confident means correct (d) AI is never wrong
22. 22.Which of these adds to bias? (a) check who is missing (b) test on one group only (c) fix wrong labels (d) test on many groups
23. 23.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
24. 24.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
25. 25.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) correct labels (d) labels added at random
26. 26.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) False (b) True
27. 27.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
28. 28.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
29. 29.🔍 Which is the odd one out? (a) an AI chatbot (b) photos grouped by face (c) a light switch (d) an app translating signs
30. 30.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
31. 31.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) recognising (c) recommending (d) predicting
32. 32.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
33. 33.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
34. 34.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
35. 35.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) skip testing (d) fix wrong labels
36. 36.🔍 Which is the odd one out? (a) predicting rain (b) unlocking with a face (c) suggesting a video (d) composing a new tune
37. 37.True or false: “typing a new spoken word” is the model. (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) a calculator (b) face unlock on a phone (c) a voice assistant (d) video suggestions
39. 39.🔍 Which is the odd one out? (a) confident means correct (b) AI is never wrong (c) AI can mix up numbers (d) AI has real feelings
40. 40.🔍 Which is the odd one out? (a) only one kind of example (b) new data for testing (c) blurry, unclear photos (d) wrong labels

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