AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 457 · 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.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) print pages (d) learn from data
2. 2.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
3. 3.Which of these is a myth about AI? (a) AI answers need checking (b) long answers are true (c) AI copies data patterns (d) AI can make up facts
4. 4.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
5. 5.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
6. 6.🔍 Which is the odd one out? (a) a map predicting traffic (b) a voice assistant (c) a torch (d) video suggestions
7. 7.🔍 Which is the odd one out? (a) a digital watch (b) a doorbell (c) a map predicting traffic (d) a printed timetable
8. 8.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
10. 10.True or false: “testing on training data” is good for training a model. (a) True (b) False
11. 11.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
12. 12.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
13. 13.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
14. 14.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
15. 15.📱 What is the AI doing here: an online shop showing “you may also like”? (a) generating (b) recommending (c) recognising (d) predicting
16. 16.True or false: “test on one group only” helps reduce bias. (a) False (b) True
17. 17.True or false: “it sounds very sure” is a real way to check an AI answer. (a) True (b) False
18. 18.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) an image (b) text (c) music or sound
19. 19.Which of these describes how AI works? (a) never learns from data (b) does exactly as coded (c) follows fixed rules (d) handles unseen examples
20. 20.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
21. 21.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
22. 22.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
23. 23.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
24. 24.True or false: “old emails marked spam” is training data. (a) False (b) True
25. 25.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) fix wrong labels (d) use one group only
27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
28. 28.Which of these adds to bias? (a) add varied examples (b) balance the data (c) ask different people (d) test on one group only
29. 29.🔍 Which is the odd one out? (a) wrong labels (b) labels added at random (c) photos in many lights (d) testing on training data
30. 30.True or false: “check who is missing” adds to bias. (a) False (b) True
31. 31.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
32. 32.True or false: “naming a new fruit photo” is training data. (a) False (b) True
33. 33.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) music or sound (c) text
34. 34.🏷️ 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
35. 35.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
36. 36.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
37. 37.Which of these is a fact about AI? (a) AI can make up facts (b) AI knows everything (c) long answers are true (d) confident means correct
38. 38.True or false: “confident means correct” is a myth about AI. (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) making up a story (b) inventing a recipe (c) spotting spam (d) writing a new poem
40. 40.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) trust the textbook (c) stop studying (d) share it online

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