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.Which of these is good for training a model? (a) correct labels (b) wrong labels (c) only one kind of example (d) blurry, unclear photos
- 2.Which of these describes how a normal program works? (a) spots patterns in data (b) does exactly as coded (c) learns from examples (d) gives a likely answer
- 3.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
- 4.🔍 Which is the odd one out? (a) reading number plates (b) drafting a letter (c) inventing a recipe (d) composing a new tune
- 5.True or false: “examples of every type” is bad for training a model. (a) True (b) False
- 6.True or false: “test on many groups” adds to bias. (a) False (b) True
- 7.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) predicting rain (c) writing a new poem (d) turning speech to text
- 8.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) False (b) True
- 9.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the font size (c) a sticker on a laptop (d) the price
- 10.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) an image (b) music or sound (c) text
- 11.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
- 12.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
- 13.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) pick a lucky number (c) guess (d) look in your textbook
- 14.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) test on one group only (d) copy old unfair choices
- 15.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
- 16.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
- 17.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
- 18.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
- 19.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
- 20.True or false: “asking the same AI again” is a real way to check an AI answer. (a) True (b) False
- 21.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
- 22.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) text (c) an image
- 23.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
- 24.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
- 25.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) share it online (c) trust the textbook (d) stop studying
- 26.🔍 Which is the odd one out? (a) video suggestions (b) a stopwatch (c) photos grouped by face (d) voice typing
- 27.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
- 28.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
- 29.🔍 Which is the odd one out? (a) examples of every type (b) labels added at random (c) blurry, unclear photos (d) testing on training data
- 30.True or false: sorting names in A to Z order only needs a simple fixed rule. (a) False (b) True
- 31.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
- 32.🔍 Which is the odd one out? (a) checking labels twice (b) photos in many lights (c) wrong labels (d) correct labels
- 33.Which of these is generative AI (it makes something new)? (a) reading number plates (b) unlocking with a face (c) spotting spam (d) creating a cartoon
- 34.Which of these is generative AI (it makes something new)? (a) drawing a new picture (b) turning speech to text (c) sorting photos by face (d) suggesting a video
- 35.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
- 36.🏷️ 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
- 37.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
- 38.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
- 39.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recognising (b) recommending (c) predicting (d) generating
- 40.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
Answer key
- correct labels
- does exactly as coded
- a myth
- reading number plates
- False
- False
- writing a new poem
- False
- the right answer tag
- music or sound
- False
- False
- look in your textbook
- check who is missing
- the model
- makes something new
- good for training
- makes something new
- False
- False
- bad for training
- text
- needs AI (learning)
- adds to bias
- trust the textbook
- a stopwatch
- False
- to see if it works
- examples of every type
- True
- AI
- wrong labels
- creating a cartoon
- drawing a new picture
- a normal program
- spam
- False
- it learns patterns
- generating
- training data
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students