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: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
- 2.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
- 3.True or false: “try the sum on paper” is a real way to check an AI answer. (a) False (b) True
- 4.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) face unlock (d) voice typing
- 5.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) text (c) an image
- 6.Which of these is good for training a model? (a) copies of one photo (b) testing on training data (c) wrong labels (d) checking labels twice
- 7.True or false: “add more of the same” helps reduce bias. (a) False (b) True
- 8.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
- 9.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) print pages (d) charge faster
- 10.Which of these is a fact about AI? (a) AI always checks facts (b) confident means correct (c) AI can mix up numbers (d) AI is never wrong
- 11.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) making up a story (c) drafting a letter (d) writing a new poem
- 12.True or false: “a drum beat for a dance” asks for text. (a) False (b) True
- 13.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
- 14.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
- 15.True or false: “a poster of a rainforest” asks for music or sound. (a) True (b) False
- 16.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) skip testing (d) check who is missing
- 17.Which of these is good for training a model? (a) very few examples (b) labels added at random (c) blurry, unclear photos (d) examples of every type
- 18.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
- 19.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
- 20.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) no, it follows rules (d) yes, it can think
- 21.Which of these is a myth about AI? (a) AI can be wrong (b) AI can make up facts (c) AI always checks facts (d) AI copies data patterns
- 22.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
- 23.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
- 24.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
- 25.🔍 Which is the odd one out? (a) sorting photos by face (b) spotting a sick leaf (c) spotting spam (d) making up a story
- 26.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
- 27.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
- 28.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
- 29.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) flagging a new email (d) the trained program
- 30.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
- 31.Which of these describes how a normal program works? (a) improves with more data (b) learns from examples (c) gives a likely answer (d) does exactly as coded
- 32.Which of these is the model? (a) past weather records (b) naming a new fruit photo (c) the learned patterns (d) old emails marked spam
- 33.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
- 34.True or false: “past weather records” is the model. (a) True (b) False
- 35.✍️ How does an AI chatbot write its replies? (a) asks a person (b) predicts likely words (c) copies one website (d) uses magic
- 36.Which of these uses AI? (a) a calculator (b) a light switch (c) a doorbell (d) voice typing
- 37.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
- 38.🔍 Which is the odd one out? (a) test on one group only (b) balance the data (c) add varied examples (d) ask different people
- 39.Which of these describes how AI works? (a) gives a likely answer (b) follows fixed rules (c) uses rules people wrote (d) one set rule per case
- 40.True or false: “past weather records” is training data. (a) False (b) True
Answer key
- False
- not AI
- True
- a basic calculator
- text
- checking labels twice
- False
- balanced data
- learn from data
- AI can mix up numbers
- spotting spam
- False
- False
- it learns patterns
- False
- check who is missing
- examples of every type
- a real check
- not a real check
- no, it follows rules
- AI always checks facts
- bad for training
- data, model, prediction
- more varied data
- making up a story
- better at its task
- a myth
- False
- 500 labelled leaf photos
- a myth
- does exactly as coded
- the learned patterns
- AI
- False
- predicts likely words
- voice typing
- False
- test on one group only
- gives a likely answer
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students