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.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
- 2.🔍 Which is the odd one out? (a) AI can make up facts (b) AI learns from data (c) AI answers need checking (d) long answers are true
- 3.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) predicting (c) recommending (d) recognising
- 4.📚 Usually, more good examples make a model… (a) change colour (b) slower to switch on (c) better at its task (d) forget everything
- 5.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
- 6.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
- 7.✍️ How does an AI chatbot write its replies? (a) copies one website (b) asks a person (c) predicts likely words (d) uses magic
- 8.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a list of rules only (d) a song about dogs
- 9.🔍 Which is the odd one out? (a) spotting a sick leaf (b) making up a story (c) writing quiz questions (d) drawing a new picture
- 10.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
- 11.True or false: a weather app guessing tomorrow’s rain is AI generating something new. (a) True (b) False
- 12.📱 What is the AI doing here: turning your spoken words into typed text? (a) recognising (b) predicting (c) generating (d) recommending
- 13.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
- 14.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
- 15.🤖 Who builds and trains AI systems? (a) the weather (b) the Moon (c) people (d) nobody at all
- 16.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
- 17.Which of these describes how a normal program works? (a) same steps every time (b) gives a likely answer (c) improves with more data (d) handles unseen examples
- 18.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
- 19.True or false: “use one group only” adds to bias. (a) False (b) True
- 20.🛠️ Which does this job need: sorting names in A to Z order? (a) a simple rule is enough (b) needs AI (learning)
- 21.Which of these helps reduce bias? (a) fix wrong labels (b) ignore complaints (c) copy old unfair choices (d) skip testing
- 22.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
- 23.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) typing a new spoken word (d) 500 labelled leaf photos
- 24.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
- 25.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
- 26.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) yes, it can think (d) no, it follows rules
- 27.Which of these uses AI? (a) a kitchen weighing scale (b) voice typing (c) a printed timetable (d) a microwave timer
- 28.🔍 Which is the odd one out? (a) confident means correct (b) AI has real feelings (c) AI is never wrong (d) AI answers need checking
- 29.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) predicting (c) singing (d) drawing
- 30.Which of these is a fact about AI? (a) AI is never wrong (b) AI has real feelings (c) AI knows everything (d) AI copies data patterns
- 31.🔍 Which is the odd one out? (a) inventing a recipe (b) unlocking with a face (c) reading number plates (d) suggesting a video
- 32.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
- 33.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
- 34.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) copy it straight away (c) never do maths (d) check it on paper
- 35.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
- 36.Which of these is good for training a model? (a) clear, sharp examples (b) very few examples (c) only one kind of example (d) wrong labels
- 37.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
- 38.Which of these describes how AI works? (a) one set rule per case (b) does exactly as coded (c) spots patterns in data (d) same steps every time
- 39.True or false: “test on one group only” adds to bias. (a) False (b) True
- 40.Which of these is the model? (a) what training builds (b) naming a new leaf (c) naming a new fruit photo (d) labelled fruit photos
Answer key
- not spam
- long answers are true
- predicting
- better at its task
- True
- False
- predicts likely words
- many labelled photos
- spotting a sick leaf
- False
- False
- recognising
- good for training
- good for training
- people
- False
- same steps every time
- not spam
- True
- a simple rule is enough
- fix wrong labels
- it learns patterns
- 500 labelled leaf photos
- training data
- False
- no, it follows rules
- voice typing
- AI answers need checking
- predicting
- AI copies data patterns
- inventing a recipe
- a normal program
- training data
- check it on paper
- False
- clear, sharp examples
- AI
- spots patterns in data
- True
- what training builds
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students