AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 587 · 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.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
2. 2.✍️ How does an AI chatbot write its replies? (a) uses magic (b) copies one website (c) predicts likely words (d) asks a person
3. 3.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
4. 4.True or false: “a poster of a rainforest” asks for text. (a) True (b) False
5. 5.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
6. 6.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) look in your textbook (c) guess (d) ask it to repeat
7. 7.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
8. 8.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) no, it finds patterns (d) only on weekends
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
10. 10.🎨 An image generator makes a picture from… (a) a phone number (b) the weather (c) your password (d) a text description
11. 11.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) recommending (c) recognising (d) generating
12. 12.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) a song about dogs (d) many labelled photos
13. 13.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it learns from examples (c) it has a screen (d) it uses electricity
14. 14.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
15. 15.📱 What is the AI doing here: an online shop showing “you may also like”? (a) recognising (b) generating (c) recommending (d) predicting
16. 16.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
17. 17.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
18. 18.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) spotting spam (c) inventing a recipe (d) drawing a new picture
19. 19.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
20. 20.True or false: a keyboard guessing your next word is AI recognising something. (a) False (b) True
21. 21.True or false: “recorded spoken words” is training data. (a) False (b) True
22. 22.Which of these is not AI? (a) voice typing (b) video suggestions (c) a map predicting traffic (d) a digital watch
23. 23.🔍 Which is the odd one out? (a) inventing a recipe (b) making up a story (c) drawing a new picture (d) unlocking with a face
24. 24.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
25. 25.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
26. 26.Which of these describes how AI works? (a) makes a best guess (b) one set rule per case (c) does exactly as coded (d) same steps every time
27. 27.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) labelled fruit photos (d) what training builds
28. 28.Which of these is bad for training a model? (a) blurry, unclear photos (b) many varied examples (c) correct labels (d) examples of every type
29. 29.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
30. 30.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
31. 31.Which of these describes how AI works? (a) uses rules people wrote (b) learns from examples (c) one set rule per case (d) does exactly as coded
32. 32.🤖 Who builds and trains AI systems? (a) nobody at all (b) people (c) the weather (d) the Moon
33. 33.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) add more of the same (d) check who is missing
34. 34.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
36. 36.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
37. 37.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
38. 38.True or false: “labelled fruit photos” is training data. (a) False (b) True
39. 39.Which of these is AI that sorts, spots or predicts (not generative)? (a) predicting rain (b) inventing a recipe (c) drawing a new picture (d) drafting a letter
40. 40.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias

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