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 is the odd one out? (a) inventing a recipe (b) spotting a sick leaf (c) making up a story (d) drawing a new picture
- 2.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
- 3.True or false: “gives a likely answer” describes how AI works. (a) True (b) False
- 4.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
- 5.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
- 6.Which of these describes how a normal program works? (a) makes a best guess (b) handles unseen examples (c) uses rules people wrote (d) gives a likely answer
- 7.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
- 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
- 9.🔍 Which is the odd one out? (a) wrong labels (b) correct labels (c) checking labels twice (d) photos in many lights
- 10.Which of these uses AI? (a) a microwave timer (b) a stopwatch (c) an AI chatbot (d) a digital watch
- 11.🔍 Which is the odd one out? (a) sorting photos by face (b) predicting rain (c) spotting a sick leaf (d) inventing a recipe
- 12.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) text (b) an image (c) music or sound
- 13.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
- 14.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
- 15.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) the weather (d) a text description
- 16.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
- 17.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) stop studying (c) share it online (d) trust the textbook
- 18.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
- 19.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) forget everything (d) slower to switch on
- 20.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) learn from data (d) clean screens
- 21.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
- 22.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
- 23.Which of these uses AI? (a) a stopwatch (b) a printed timetable (c) a fan regulator (d) a map predicting traffic
- 24.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
- 25.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
- 26.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) ask different people (d) add varied examples
- 27.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
- 28.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) ask different people (d) add more of the same
- 29.Which of these is bad for training a model? (a) clear, sharp examples (b) new data for testing (c) wrong labels (d) many varied examples
- 30.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
- 31.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) spotting spam (c) inventing a recipe (d) writing a new poem
- 32.Which of these is not AI? (a) a stopwatch (b) an image generator (c) a map predicting traffic (d) an AI chatbot
- 33.True or false: reading messy handwriting needs AI that learns from examples. (a) True (b) False
- 34.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) tomorrow’s rain guess (d) the learned patterns
- 35.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
- 36.Which of these adds to bias? (a) test on one group only (b) test on many groups (c) balance the data (d) fix wrong labels
- 37.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) reading number plates (c) suggesting a video (d) making up a story
- 38.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) generating (b) predicting (c) recommending (d) recognising
- 39.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
- 40.True or false: counting the words in an essay only needs a simple fixed rule. (a) False (b) True
Answer key
- spotting a sick leaf
- bad for training
- True
- uses AI
- balanced data
- uses rules people wrote
- a simple rule is enough
- the model
- wrong labels
- an AI chatbot
- inventing a recipe
- music or sound
- makes something new
- True
- a text description
- makes something new
- trust the textbook
- False
- better at its task
- learn from data
- False
- AI
- a map predicting traffic
- a simple rule is enough
- a myth
- skip testing
- a normal program
- ask different people
- wrong labels
- True
- spotting spam
- a stopwatch
- True
- 500 labelled leaf photos
- training data
- test on one group only
- making up a story
- recommending
- makes something new
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students