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.True or false: “test on one group only” adds to bias. (a) True (b) False
- 2.✨ Generative or not: unlocking with a face? (a) sorts or predicts (b) makes something new
- 3.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
- 4.True or false: “typing a new spoken word” is the model. (a) True (b) False
- 5.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
- 6.🔍 Which is the odd one out? (a) only one kind of example (b) photos in many lights (c) wrong labels (d) blurry, unclear photos
- 7.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
- 8.True or false: “flagging a new email” is a prediction. (a) False (b) True
- 9.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
- 10.Which of these is the model? (a) old emails marked spam (b) what training builds (c) 500 labelled leaf photos (d) naming a new fruit photo
- 11.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
- 12.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
- 13.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) uses magic (c) asks a person (d) copies one website
- 14.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
- 15.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
- 16.Which of these uses AI? (a) a torch (b) a doorbell (c) a calculator (d) photos grouped by face
- 17.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
- 18.⏩ 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
- 19.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) drawing a new picture (c) writing quiz questions (d) suggesting a video
- 20.True or false: “never learns from data” describes how AI works. (a) False (b) True
- 21.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
- 22.🎨 An image generator makes a picture from… (a) the weather (b) a phone number (c) a text description (d) your password
- 23.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
- 24.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) face unlock (d) voice typing
- 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
- 26.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) only on weekends (d) no, it finds patterns
- 27.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) music or sound (b) text (c) an image
- 28.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
- 29.🔍 Which is the odd one out? (a) a light switch (b) an AI chatbot (c) a microwave timer (d) a doorbell
- 30.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) charging (c) cooking (d) printing
- 31.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
- 32.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
- 33.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
- 34.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
- 35.Which of these uses AI? (a) a fan regulator (b) a calculator (c) video suggestions (d) a microwave timer
- 36.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
- 37.Which of these uses AI? (a) a torch (b) a stopwatch (c) an image generator (d) a light switch
- 38.✨ What does generative AI do? (a) charges batteries (b) only stores files (c) only adds numbers (d) makes new content
- 39.Which of these is good for training a model? (a) testing on training data (b) examples of every type (c) only one kind of example (d) very few examples
- 40.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
Answer key
- True
- sorts or predicts
- sorts or predicts
- False
- bad for training
- photos in many lights
- data, model, prediction
- True
- a normal program
- what training builds
- False
- reduces bias
- predicts likely words
- not a real check
- a normal program
- photos grouped by face
- a normal program
- what training builds
- suggesting a video
- False
- balanced data
- a text description
- AI
- a basic calculator
- 500 labelled leaf photos
- no, it finds patterns
- music or sound
- False
- an AI chatbot
- recommending
- a normal program
- adds to bias
- few child voices in data
- good for training
- video suggestions
- False
- an image generator
- makes new content
- examples of every type
- a myth
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students