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.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
- 2.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
- 3.Which of these is not AI? (a) an app translating signs (b) an image generator (c) photos grouped by face (d) a stopwatch
- 4.Which of these describes how a normal program works? (a) makes a best guess (b) follows fixed rules (c) improves with more data (d) gives a likely answer
- 5.✍️ How does an AI chatbot write its replies? (a) uses magic (b) predicts likely words (c) copies one website (d) asks a person
- 6.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
- 7.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
- 8.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
- 9.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) trust the textbook (c) share it online (d) stop studying
- 10.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
- 11.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
- 12.Which of these is a fact about AI? (a) AI always checks facts (b) AI can mix up numbers (c) confident means correct (d) AI has real feelings
- 13.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
- 14.🎨 An image generator makes a picture from… (a) the weather (b) a phone number (c) your password (d) a text description
- 15.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
- 16.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
- 17.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
- 18.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) True (b) False
- 19.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) False (b) True
- 20.Which of these uses AI? (a) a doorbell (b) a fan regulator (c) voice typing (d) a torch
- 21.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
- 22.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the right answer tag (d) the price
- 23.True or false: “AI copies data patterns” is a fact about AI. (a) False (b) True
- 24.True or false: “AI can mix up numbers” is a myth about AI. (a) True (b) False
- 25.Which of these is generative AI (it makes something new)? (a) making up a story (b) spotting spam (c) sorting photos by face (d) reading number plates
- 26.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
- 27.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
- 28.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
- 29.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recommending (b) generating (c) recognising (d) predicting
- 30.True or false: an online shop showing “you may also like” is AI recommending something. (a) True (b) False
- 31.🔍 Which is the odd one out? (a) composing a new tune (b) writing a new poem (c) drawing a new picture (d) spotting spam
- 32.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
- 33.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) test on many groups (d) ask different people
- 34.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) add more of the same
- 35.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
- 36.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
- 37.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) learn from data (d) charge faster
- 38.Which of these uses AI? (a) a digital watch (b) a light switch (c) a stopwatch (d) a map predicting traffic
- 39.True or false: “write a poem about the monsoon” asks for text. (a) True (b) False
- 40.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
Answer key
- a prediction
- needs AI (learning)
- a stopwatch
- follows fixed rules
- predicts likely words
- balanced data
- False
- not spam
- trust the textbook
- the trained program
- reduces bias
- AI can mix up numbers
- what training builds
- a text description
- bad for training
- not spam
- a myth
- True
- True
- voice typing
- False
- the right answer tag
- True
- False
- making up a story
- AI
- True
- uses AI
- generating
- True
- spotting spam
- needs AI (learning)
- ignore complaints
- add more of the same
- labelled fruit photos
- good for training
- learn from data
- a map predicting traffic
- True
- a myth
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students