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.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) recommending (c) recognising (d) generating
- 2.Which of these is a fact about AI? (a) confident means correct (b) long answers are true (c) AI learns from data (d) AI always checks facts
- 3.Which of these is a myth about AI? (a) AI can make up facts (b) AI can mix up numbers (c) AI answers need checking (d) long answers are true
- 4.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
- 5.Which of these is bad for training a model? (a) examples of every type (b) clear, sharp examples (c) wrong labels (d) many varied examples
- 6.🏠 AI or not AI: video suggestions? (a) uses AI (b) not AI
- 7.💬 What do we call the request you type to a generative AI? (a) a label (b) a prompt (c) a battery (d) a password
- 8.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) never do maths (c) ask it to hurry (d) check it on paper
- 9.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, it gets sad (c) only on weekends (d) yes, just like us
- 10.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it learns from examples (c) it is always right (d) it uses electricity
- 11.True or false: “old emails marked spam” is a prediction. (a) True (b) False
- 12.🔍 Which is the odd one out? (a) a torch (b) a fan regulator (c) an image generator (d) a kitchen weighing scale
- 13.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) sorting photos by face (c) inventing a recipe (d) drawing a new picture
- 14.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) old emails marked spam (d) tomorrow’s rain guess
- 15.True or false: “AI can make up facts” is a fact about AI. (a) True (b) False
- 16.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
- 17.🔍 Which is the odd one out? (a) making up a story (b) reading number plates (c) unlocking with a face (d) suggesting a video
- 18.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
- 19.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) music or sound (b) text (c) an image
- 20.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
- 21.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
- 22.Which of these is a fact about AI? (a) AI always checks facts (b) AI knows everything (c) AI can make up facts (d) AI has real feelings
- 23.🔍 Which is the odd one out? (a) inventing a recipe (b) creating a cartoon (c) unlocking with a face (d) drawing a new picture
- 24.Which of these is good for training a model? (a) copies of one photo (b) very few examples (c) clear, sharp examples (d) only one kind of example
- 25.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) True (b) False
- 26.🤖 Who builds and trains AI systems? (a) the Moon (b) nobody at all (c) the weather (d) people
- 27.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
- 28.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) an image (b) text (c) music or sound
- 29.Which of these uses AI? (a) a light switch (b) a microwave timer (c) a kitchen weighing scale (d) a map predicting traffic
- 30.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
- 31.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
- 32.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) a song about dogs (d) one single photo
- 33.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
- 34.True or false: “only one kind of example” is good for training a model. (a) False (b) True
- 35.True or false: sorting names in A to Z order only needs a simple fixed rule. (a) True (b) False
- 36.🔍 Which is the odd one out? (a) testing on training data (b) labels added at random (c) correct labels (d) blurry, unclear photos
- 37.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) a spam filter (d) voice typing
- 38.✨ What does generative AI do? (a) charges batteries (b) only adds numbers (c) only stores files (d) makes new content
- 39.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
- 40.🔍 Which is the odd one out? (a) writing a new poem (b) making up a story (c) inventing a recipe (d) reading number plates
Answer key
- recognising
- AI learns from data
- long answers are true
- a prediction
- wrong labels
- uses AI
- a prompt
- check it on paper
- no, it finds patterns
- it learns from examples
- False
- an image generator
- sorting photos by face
- tomorrow’s rain guess
- True
- sorts or predicts
- making up a story
- good for training
- music or sound
- needs AI (learning)
- it learns patterns
- AI can make up facts
- unlocking with a face
- clear, sharp examples
- False
- people
- True
- text
- a map predicting traffic
- False
- reduces bias
- many labelled photos
- sorts or predicts
- False
- True
- correct labels
- a basic calculator
- makes new content
- False
- reading number plates
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students