AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 770 · 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.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
2. 2.🧮 Which of these is NOT AI? (a) a basic calculator (b) voice typing (c) a spam filter (d) face unlock
3. 3.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
4. 4.✨ What does generative AI do? (a) only stores files (b) makes new content (c) charges batteries (d) only adds numbers
5. 5.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
6. 6.🏠 AI or not AI: a microwave timer? (a) uses AI (b) not AI
7. 7.True or false: a weather app guessing tomorrow’s rain is AI recognising something. (a) True (b) False
8. 8.🔍 Which is the odd one out? (a) AI can be wrong (b) AI answers need checking (c) AI always checks facts (d) AI can mix up numbers
9. 9.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
10. 10.Which of these describes how AI works? (a) uses rules people wrote (b) spots patterns in data (c) never learns from data (d) does exactly as coded
11. 11.Which of these is a prediction? (a) labelled fruit photos (b) the trained program (c) naming a new leaf (d) the learned patterns
12. 12.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
13. 13.True or false: “ask different people” helps reduce bias. (a) False (b) True
14. 14.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
15. 15.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
16. 16.🔍 Which is the odd one out? (a) video suggestions (b) photos grouped by face (c) a printed timetable (d) face unlock on a phone
17. 17.✍️ How does an AI chatbot write its replies? (a) uses magic (b) asks a person (c) copies one website (d) predicts likely words
18. 18.Which of these is not AI? (a) video suggestions (b) a fan regulator (c) an AI chatbot (d) a map predicting traffic
19. 19.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
20. 20.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
21. 21.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
22. 22.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
23. 23.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
24. 24.True or false: “AI can be wrong” is a fact about AI. (a) True (b) False
25. 25.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) check who is missing (d) fix wrong labels
26. 26.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) no, check it anyway (c) yes, if it is long
27. 27.True or false: “the trained program” is a prediction. (a) False (b) True
28. 28.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
29. 29.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
30. 30.True or false: “AI can make up facts” is a myth about AI. (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) a voice assistant (b) an app translating signs (c) a fan regulator (d) photos grouped by face
32. 32.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
33. 33.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) balance the data (d) add more of the same
34. 34.🔍 Which is the odd one out? (a) AI has real feelings (b) AI can make up facts (c) AI always checks facts (d) AI is never wrong
35. 35.🤖 What does AI stand for? (a) artificial intelligence (b) actual information (c) automatic internet (d) app installer
36. 36.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
37. 37.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) fix wrong labels (d) check who is missing
38. 38.📱 What is the AI doing here: a camera app naming the flower you point at? (a) predicting (b) recommending (c) generating (d) recognising
39. 39.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
40. 40.True or false: “only one kind of example” is good for training a model. (a) False (b) True

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