AI for Kids Worksheet: Part 1 Test
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.
NameDateTime takenScore ___ / 40
- 1.Which of these is not AI? (a) video suggestions (b) a voice assistant (c) a fan regulator (d) an app translating signs
- 2.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) stop studying (c) trust the AI (d) trust the textbook
- 3.🔍 Which is the odd one out? (a) a stopwatch (b) voice typing (c) a fan regulator (d) a torch
- 4.True or false: “labelled fruit photos” is training data. (a) False (b) True
- 5.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
- 6.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
- 7.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
- 8.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
- 9.Which of these is a prediction? (a) old emails marked spam (b) typing a new spoken word (c) what training builds (d) the trained program
- 10.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
- 11.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
- 12.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
- 13.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
- 14.True or false: a camera app naming the flower you point at is AI generating something new. (a) True (b) False
- 15.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
- 16.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
- 17.True or false: “check who is missing” helps reduce bias. (a) True (b) False
- 18.True or false: “a drum beat for a dance” asks for music or sound. (a) False (b) True
- 19.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it uses electricity (c) it has a screen (d) it is always right
- 20.Which of these is a fact about AI? (a) AI has real feelings (b) AI can mix up numbers (c) confident means correct (d) AI always checks facts
- 21.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
- 22.Which of these helps reduce bias? (a) test on one group only (b) balance the data (c) add more of the same (d) use one group only
- 23.🔍 Which is the odd one out? (a) checking labels twice (b) blurry, unclear photos (c) copies of one photo (d) labels added at random
- 24.True or false: an AI chatbot writing a story about a lost kite is AI recommending something. (a) True (b) False
- 25.Which of these is a myth about AI? (a) AI answers need checking (b) AI can make up facts (c) AI copies data patterns (d) long answers are true
- 26.🔍 Which is the odd one out? (a) an image generator (b) video suggestions (c) a kitchen weighing scale (d) voice typing
- 27.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
- 28.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
- 29.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a label (d) a prompt
- 30.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) check who is missing (d) ask different people
- 31.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) recommending (c) recognising (d) generating
- 32.True or false: showing the time on a clock needs AI that learns from examples. (a) True (b) False
- 33.🧮 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
- 34.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
- 35.Which of these is good for training a model? (a) examples of every type (b) wrong labels (c) labels added at random (d) very few examples
- 36.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
- 37.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) fewer tests (d) ignoring mistakes
- 38.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
- 39.🔍 Which is the odd one out? (a) sorting photos by face (b) drawing a new picture (c) creating a cartoon (d) writing a new poem
- 40.True or false: “only one kind of example” is good for training a model. (a) False (b) True
Answer key
- a fan regulator
- trust the textbook
- voice typing
- True
- needs AI (learning)
- a prediction
- bad for training
- bias from data
- typing a new spoken word
- old emails marked spam
- the model
- makes something new
- True
- False
- a myth
- True
- True
- True
- it learns from examples
- AI can mix up numbers
- one-sided data
- balance the data
- checking labels twice
- False
- long answers are true
- a kitchen weighing scale
- a real check
- not a real check
- a prompt
- ignore complaints
- recognising
- False
- no, it follows rules
- one-sided data
- examples of every type
- makes something new
- more varied data
- True
- sorting photos by face
- False
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students