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.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
- 2.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
- 3.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
- 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
- 5.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a label (d) a prompt
- 6.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) True (b) False
- 7.🔍 Which is the odd one out? (a) AI answers need checking (b) AI can make up facts (c) AI is never wrong (d) AI can be wrong
- 8.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
- 9.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
- 10.🔍 Which is the odd one out? (a) drawing a new picture (b) writing quiz questions (c) creating a cartoon (d) predicting rain
- 11.🔍 Which is the odd one out? (a) photos in many lights (b) labels added at random (c) very few examples (d) copies of one photo
- 12.True or false: reading messy handwriting only needs a simple fixed rule. (a) False (b) True
- 13.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
- 14.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
- 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
- 16.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
- 17.Which of these is a myth about AI? (a) AI knows everything (b) AI answers need checking (c) AI copies data patterns (d) AI learns from data
- 18.True or false: “gives a likely answer” describes how a normal program works. (a) True (b) False
- 19.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
- 20.Which of these helps reduce bias? (a) test on one group only (b) test on many groups (c) copy old unfair choices (d) ignore complaints
- 21.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
- 22.True or false: a keyboard guessing your next word is AI predicting something. (a) False (b) True
- 23.✨ What does generative AI do? (a) only adds numbers (b) makes new content (c) charges batteries (d) only stores files
- 24.🔍 Which is the odd one out? (a) suggesting a video (b) sorting photos by face (c) unlocking with a face (d) making up a story
- 25.✨ Is everything a generative AI makes true? (a) only on Mondays (b) no, it can be wrong (c) yes, always
- 26.True or false: suggesting the next word as you type needs AI that learns from examples. (a) False (b) True
- 27.Which of these uses AI? (a) a calculator (b) photos grouped by face (c) a kitchen weighing scale (d) a light switch
- 28.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
- 29.🔍 Which is the odd one out? (a) a map predicting traffic (b) an app translating signs (c) an image generator (d) a fan regulator
- 30.✨ Generative or not: suggesting a video? (a) sorts or predicts (b) makes something new
- 31.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
- 32.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) the weather (d) people
- 33.🔍 Which is the odd one out? (a) copies of one photo (b) only one kind of example (c) very few examples (d) examples of every type
- 34.True or false: “only one kind of example” is good for training a model. (a) True (b) False
- 35.True or false: an image generator drawing a robot from a sentence is AI generating something new. (a) False (b) True
- 36.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
- 37.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) children speak too fast (d) it was a rainy day
- 38.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) True (b) False
- 39.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) an image (b) text (c) music or sound
- 40.🔍 Which is the odd one out? (a) predicting rain (b) writing a new poem (c) suggesting a video (d) spotting spam
Answer key
- False
- False
- 500 labelled leaf photos
- a prediction
- a prompt
- True
- AI is never wrong
- a prediction
- balanced data
- predicting rain
- photos in many lights
- False
- a prediction
- AI
- training data
- False
- AI knows everything
- False
- False
- test on many groups
- spam
- True
- makes new content
- making up a story
- no, it can be wrong
- True
- photos grouped by face
- a normal program
- a fan regulator
- sorts or predicts
- False
- people
- examples of every type
- False
- True
- good for training
- few child voices in data
- False
- music or sound
- writing a new poem
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students