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.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
- 2.📱 What is the AI doing here: a car camera reading a speed sign? (a) recognising (b) recommending (c) predicting (d) generating
- 3.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) uses magic (c) asks a person (d) copies one website
- 4.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recognising (b) recommending (c) predicting (d) generating
- 5.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
- 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
- 7.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
- 8.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
- 9.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) pick a lucky number (c) look in your textbook (d) guess
- 10.🔍 Which is the odd one out? (a) only one kind of example (b) very few examples (c) wrong labels (d) examples of every type
- 11.🔍 Which is the odd one out? (a) AI can be wrong (b) AI answers need checking (c) AI learns from data (d) AI has real feelings
- 12.True or false: “a logo idea for the eco club” asks for text. (a) True (b) False
- 13.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
- 14.True or false: “old emails marked spam” is training data. (a) True (b) False
- 15.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
- 16.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
- 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
- 18.🧮 Which of these is NOT AI? (a) face unlock (b) voice typing (c) a spam filter (d) a basic calculator
- 19.🔍 Which is the odd one out? (a) a doorbell (b) a light switch (c) video suggestions (d) a torch
- 20.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
- 21.🔍 Which is the odd one out? (a) very few examples (b) only one kind of example (c) testing on training data (d) checking labels twice
- 22.Which of these describes how a normal program works? (a) handles unseen examples (b) makes a best guess (c) same steps every time (d) gives a likely answer
- 23.True or false: recognising a bird from its song only needs a simple fixed rule. (a) False (b) True
- 24.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) learn from data (d) print pages
- 25.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) writing quiz questions (c) reading number plates (d) turning speech to text
- 26.🔍 Which is the odd one out? (a) new data for testing (b) testing on training data (c) clear, sharp examples (d) checking labels twice
- 27.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
- 28.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
- 29.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) text (c) music or sound
- 30.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
- 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
- 32.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
- 33.True or false: “past weather records” is training data. (a) True (b) False
- 34.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
- 35.Which of these describes how AI works? (a) does exactly as coded (b) one set rule per case (c) same steps every time (d) spots patterns in data
- 36.Which of these uses AI? (a) an image generator (b) a digital watch (c) a light switch (d) a calculator
- 37.Which of these is the model? (a) labelled fruit photos (b) naming a new fruit photo (c) recorded spoken words (d) what training builds
- 38.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) skip testing (d) check who is missing
- 39.🔍 Which is the odd one out? (a) an AI chatbot (b) a light switch (c) a calculator (d) a doorbell
- 40.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
Answer key
- a normal program
- recognising
- predicts likely words
- recommending
- False
- training data
- good for training
- bad for training
- look in your textbook
- examples of every type
- AI has real feelings
- False
- True
- True
- its training data
- good for training
- a prediction
- a basic calculator
- video suggestions
- recorded spoken words
- checking labels twice
- same steps every time
- False
- learn from data
- writing quiz questions
- testing on training data
- a normal program
- not a real check
- an image
- makes something new
- not spam
- the model
- True
- AI
- spots patterns in data
- an image generator
- what training builds
- skip testing
- an AI chatbot
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students