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.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) trust the AI (c) stop studying (d) trust the textbook
- 2.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
- 3.📱 What is the AI doing here: a car camera reading a speed sign? (a) recommending (b) generating (c) predicting (d) recognising
- 4.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
- 5.True or false: “naming a new leaf” is a prediction. (a) True (b) False
- 6.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
- 7.True or false: a keyboard guessing your next word is AI generating something new. (a) False (b) True
- 8.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
- 9.Which of these is good for training a model? (a) only one kind of example (b) copies of one photo (c) testing on training data (d) examples of every type
- 10.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
- 11.True or false: “a cheerful tune for Sports Day” asks for text. (a) False (b) True
- 12.True or false: “skip testing” adds to bias. (a) True (b) False
- 13.True or false: “add more of the same” helps reduce bias. (a) False (b) True
- 14.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
- 15.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
- 16.Which of these is not AI? (a) video suggestions (b) an image generator (c) face unlock on a phone (d) a microwave timer
- 17.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) asks a person (c) copies one website (d) uses magic
- 18.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
- 19.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
- 20.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
- 21.True or false: “it has a neat layout” is a real way to check an AI answer. (a) True (b) False
- 22.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
- 23.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
- 24.🔍 Which is the odd one out? (a) AI is never wrong (b) AI knows everything (c) confident means correct (d) AI can be wrong
- 25.🔍 Which is the odd one out? (a) AI always checks facts (b) confident means correct (c) AI learns from data (d) AI has real feelings
- 26.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the price (c) the font size (d) a sticker on a laptop
- 27.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
- 28.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
- 29.🔍 Which is the odd one out? (a) writing a new poem (b) predicting rain (c) composing a new tune (d) inventing a recipe
- 30.✨ Generative or not: suggesting a video? (a) sorts or predicts (b) makes something new
- 31.Which of these is a myth about AI? (a) AI learns from data (b) AI can mix up numbers (c) AI is never wrong (d) AI answers need checking
- 32.🧮 Which of these is NOT AI? (a) a basic calculator (b) a spam filter (c) face unlock (d) voice typing
- 33.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
- 34.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) an image (c) text
- 35.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
- 36.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
- 37.Which of these is a fact about AI? (a) AI always checks facts (b) AI can be wrong (c) confident means correct (d) AI knows everything
- 38.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
- 39.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
- 40.True or false: “AI learns from data” is a fact about AI. (a) True (b) False
Answer key
- trust the textbook
- a real check
- recognising
- adds to bias
- True
- True
- False
- True
- examples of every type
- False
- False
- True
- False
- a normal program
- its training data
- a microwave timer
- predicts likely words
- a fact
- needs AI (learning)
- True
- False
- balanced data
- makes something new
- AI can be wrong
- AI learns from data
- the right answer tag
- False
- old emails marked spam
- predicting rain
- sorts or predicts
- AI is never wrong
- a basic calculator
- False
- text
- False
- False
- AI can be wrong
- False
- data, model, prediction
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students