AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 383 · 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: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
2. 2.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
3. 3.True or false: “checking labels twice” is good for training a model. (a) False (b) True
4. 4.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
5. 5.True or false: “AI copies data patterns” is a fact about AI. (a) False (b) True
6. 6.True or false: a video app suggesting what to watch next is AI recognising something. (a) True (b) False
7. 7.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
8. 8.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
9. 9.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
10. 10.🔍 Which is the odd one out? (a) examples of every type (b) photos in many lights (c) copies of one photo (d) checking labels twice
11. 11.Which of these is a fact about AI? (a) confident means correct (b) long answers are true (c) AI can make up facts (d) AI always checks facts
12. 12.Which of these describes how a normal program works? (a) learns from examples (b) never learns from data (c) spots patterns in data (d) gives a likely answer
13. 13.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
14. 14.True or false: “flagging a new email” is a prediction. (a) False (b) True
15. 15.🔍 Which is the odd one out? (a) turning speech to text (b) writing quiz questions (c) predicting rain (d) sorting photos by face
16. 16.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
17. 17.🔍 Which is the odd one out? (a) AI answers need checking (b) long answers are true (c) AI can be wrong (d) AI copies data patterns
18. 18.📱 What is the AI doing here: turning your spoken words into typed text? (a) recommending (b) generating (c) recognising (d) predicting
19. 19.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
20. 20.True or false: “never learns from data” describes how AI works. (a) False (b) True
21. 21.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
22. 22.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) a torch (c) voice typing (d) a light switch
23. 23.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) yes, it can think (c) only at night (d) no, it follows rules
24. 24.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
25. 25.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
26. 26.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) balance the data (d) ignore complaints
27. 27.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
28. 28.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
29. 29.True or false: “five quiz questions on fractions” asks for music or sound. (a) True (b) False
30. 30.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) spotting spam (c) drawing a new picture (d) turning speech to text
31. 31.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
32. 32.✨ What does generative AI do? (a) charges batteries (b) makes new content (c) only stores files (d) only adds numbers
33. 33.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) composing a new tune (c) turning speech to text (d) sorting photos by face
34. 34.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
35. 35.True or false: “testing on training data” is good for training a model. (a) True (b) False
36. 36.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
37. 37.Which of these describes how AI works? (a) uses rules people wrote (b) gives a likely answer (c) does exactly as coded (d) same steps every time
38. 38.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a hallucination (c) a backup (d) a password
39. 39.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) old emails marked spam (d) typing a new spoken word
40. 40.🏠 AI or not AI: a printed timetable? (a) not AI (b) uses AI

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