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.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
- 2.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can mix up numbers (c) AI can make up facts (d) confident means correct
- 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
- 4.🏠 AI or not AI: a printed timetable? (a) not AI (b) uses AI
- 5.🔍 Which is the odd one out? (a) correct labels (b) many varied examples (c) labels added at random (d) checking labels twice
- 6.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) clean screens (d) learn from data
- 7.Which of these is a fact about AI? (a) AI always checks facts (b) AI has real feelings (c) AI knows everything (d) AI answers need checking
- 8.🔍 Which is the odd one out? (a) copies of one photo (b) testing on training data (c) wrong labels (d) new data for testing
- 9.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
- 10.Which of these adds to bias? (a) check who is missing (b) ask different people (c) test on many groups (d) ignore complaints
- 11.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) False (b) True
- 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
- 13.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
- 14.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it has a screen (c) it is always right (d) it learns from examples
- 15.True or false: a camera app naming the flower you point at is AI recommending something. (a) True (b) False
- 16.Which of these is a fact about AI? (a) long answers are true (b) AI is never wrong (c) AI copies data patterns (d) AI always checks facts
- 17.✨ Generative or not: unlocking with a face? (a) sorts or predicts (b) makes something new
- 18.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) checking labels twice (d) wrong labels
- 19.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
- 20.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) an image (b) music or sound (c) text
- 21.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) turning speech to text (c) making up a story (d) writing quiz questions
- 22.True or false: “long answers are true” is a fact about AI. (a) True (b) False
- 23.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recognising (b) recommending (c) generating (d) predicting
- 24.Which of these describes how a normal program works? (a) gives a likely answer (b) same steps every time (c) learns from examples (d) spots patterns in data
- 25.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
- 26.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
- 27.Which of these is the model? (a) flagging a new email (b) the trained program (c) 500 labelled leaf photos (d) tomorrow’s rain guess
- 28.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
- 29.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) use one group only (d) add more of the same
- 30.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) an image (b) music or sound (c) text
- 31.🔍 Which is the odd one out? (a) labels added at random (b) copies of one photo (c) very few examples (d) correct labels
- 32.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) learns from examples (d) follows fixed rules
- 33.✨ What does generative AI do? (a) charges batteries (b) makes new content (c) only stores files (d) only adds numbers
- 34.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
- 35.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
- 36.True or false: recognising a bird from its song only needs a simple fixed rule. (a) False (b) True
- 37.Which of these is the model? (a) recorded spoken words (b) what training builds (c) typing a new spoken word (d) naming a new leaf
- 38.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
- 39.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) predicting (b) recommending (c) generating (d) recognising
- 40.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
Answer key
- what training builds
- confident means correct
- spam
- not AI
- labels added at random
- learn from data
- AI answers need checking
- new data for testing
- a normal program
- ignore complaints
- True
- not spam
- needs AI (learning)
- it learns from examples
- False
- AI copies data patterns
- sorts or predicts
- wrong labels
- AI
- text
- turning speech to text
- False
- recommending
- same steps every time
- True
- a myth
- the trained program
- a prediction
- ask different people
- an image
- correct labels
- learns from examples
- makes new content
- the trained program
- a simple rule is enough
- False
- what training builds
- the learned patterns
- generating
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students