AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 670 · 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.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) app installer (d) artificial intelligence
2. 2.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
3. 3.Which of these is training data? (a) old emails marked spam (b) what training builds (c) flagging a new email (d) the trained program
4. 4.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) check who is missing (d) use one group only
5. 5.✍️ How does an AI chatbot write its replies? (a) copies one website (b) asks a person (c) predicts likely words (d) uses magic
6. 6.True or false: “learns from examples” describes how a normal program works. (a) False (b) True
7. 7.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
9. 9.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) a sticker on a laptop (d) the right answer tag
10. 10.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
11. 11.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
12. 12.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
14. 14.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
15. 15.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) never learns from data (d) handles unseen examples
16. 16.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a list of rules only (d) a song about dogs
17. 17.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
18. 18.Which of these helps reduce bias? (a) add varied examples (b) test on one group only (c) ignore complaints (d) add more of the same
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
20. 20.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
21. 21.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
22. 22.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) False (b) True
23. 23.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI
24. 24.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
25. 25.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) change colour (d) better at its task
26. 26.True or false: “a cartoon of a dancing elephant” asks for an image. (a) False (b) True
27. 27.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
28. 28.Which of these is training data? (a) recorded spoken words (b) typing a new spoken word (c) the learned patterns (d) flagging a new email
29. 29.Which of these describes how AI works? (a) one set rule per case (b) learns from examples (c) same steps every time (d) follows fixed rules
30. 30.True or false: “flagging a new email” is the model. (a) False (b) True
31. 31.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
32. 32.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI answers need checking (c) AI learns from data (d) AI is never wrong
33. 33.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) composing a new tune (c) reading number plates (d) spotting a sick leaf
34. 34.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
35. 35.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
36. 36.🔍 Which is the odd one out? (a) a digital watch (b) a fan regulator (c) a kitchen weighing scale (d) photos grouped by face
37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
38. 38.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
39. 39.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
40. 40.True or false: “uses rules people wrote” describes how AI works. (a) True (b) False

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