AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 454 · 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: testing on training data? (a) bad for training (b) good for training
2. 2.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
3. 3.True or false: “the trained program” is the model. (a) True (b) False
4. 4.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
5. 5.True or false: “try the sum on paper” is a real way to check an AI answer. (a) False (b) True
6. 6.Which of these is good for training a model? (a) labels added at random (b) very few examples (c) testing on training data (d) new data for testing
7. 7.True or false: finding 10% of a price only needs a simple fixed rule. (a) False (b) True
8. 8.True or false: “what training builds” is training data. (a) True (b) False
9. 9.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
10. 10.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
11. 11.Which of these is the model? (a) naming a new leaf (b) recorded spoken words (c) labelled fruit photos (d) the learned patterns
12. 12.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
14. 14.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
15. 15.Which of these describes how AI works? (a) follows fixed rules (b) never learns from data (c) one set rule per case (d) makes a best guess
16. 16.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
17. 17.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
18. 18.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) past weather records (d) naming a new fruit photo
19. 19.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
20. 20.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) no, it finds patterns (c) yes, it gets sad (d) yes, just like us
21. 21.🔍 Which is the odd one out? (a) AI learns from data (b) AI always checks facts (c) AI can mix up numbers (d) AI copies data patterns
22. 22.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) singing (c) sleeping (d) predicting
23. 23.🔍 Which is the odd one out? (a) unlocking with a face (b) drawing a new picture (c) composing a new tune (d) writing a new poem
24. 24.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
26. 26.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
27. 27.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) trust the AI (c) trust the textbook (d) stop studying
28. 28.🏠 AI or not AI: an app translating signs? (a) not AI (b) uses AI
29. 29.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
30. 30.Which of these helps reduce bias? (a) ask different people (b) ignore complaints (c) add more of the same (d) test on one group only
31. 31.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) naming a new fruit photo (d) flagging a new email
32. 32.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
33. 33.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
34. 34.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
35. 35.🔍 Which is the odd one out? (a) a doorbell (b) a digital watch (c) a printed timetable (d) face unlock on a phone
36. 36.Which of these is good for training a model? (a) very few examples (b) labels added at random (c) testing on training data (d) examples of every type
37. 37.Which of these is a myth about AI? (a) AI can be wrong (b) AI answers need checking (c) AI copies data patterns (d) confident means correct
38. 38.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students