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 “gives a likely answer”? (a) AI (b) a normal program
- 2.True or false: “correct labels” is bad for training a model. (a) True (b) False
- 3.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
- 4.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) handles unseen examples (d) never learns from data
- 5.True or false: “wrong labels” is bad for training a model. (a) False (b) True
- 6.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
- 7.True or false: “check who is missing” helps reduce bias. (a) True (b) False
- 8.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
- 9.🔍 Which is the odd one out? (a) inventing a recipe (b) drafting a letter (c) spotting a sick leaf (d) composing a new tune
- 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
- 11.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
- 12.🏷️ 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
- 13.🎨 An image generator makes a picture from… (a) a phone number (b) the weather (c) a text description (d) your password
- 14.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) change colour (d) better at its task
- 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
- 16.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
- 17.True or false: “naming a new fruit photo” is the model. (a) True (b) False
- 18.Which of these is AI that sorts, spots or predicts (not generative)? (a) suggesting a video (b) writing a new poem (c) creating a cartoon (d) writing quiz questions
- 19.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
- 20.✅ Is this a real check of an AI answer: it is long and detailed? (a) a real check (b) not a real check
- 21.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) text (b) an image (c) music or sound
- 22.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
- 23.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
- 24.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
- 25.Which of these is generative AI (it makes something new)? (a) composing a new tune (b) sorting photos by face (c) turning speech to text (d) spotting a sick leaf
- 26.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
- 27.🔍 Which is the odd one out? (a) a light switch (b) a doorbell (c) a microwave timer (d) a spam filter
- 28.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
- 29.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recognising (b) recommending (c) generating (d) predicting
- 30.🔍 Which is the odd one out? (a) checking labels twice (b) labels added at random (c) many varied examples (d) clear, sharp examples
- 31.True or false: “one set rule per case” describes how a normal program works. (a) True (b) False
- 32.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) pick a lucky number (c) ask it to repeat (d) guess
- 33.Which of these adds to bias? (a) ignore complaints (b) fix wrong labels (c) add varied examples (d) balance the data
- 34.Which of these is the model? (a) old emails marked spam (b) recorded spoken words (c) the learned patterns (d) 500 labelled leaf photos
- 35.True or false: “new data for testing” is good for training a model. (a) True (b) False
- 36.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
- 37.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
- 38.True or false: “checking labels twice” is good for training a model. (a) True (b) False
- 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
- 40.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it is smart (c) no, it follows rules (d) yes, it can think
Answer key
- AI
- False
- data, model, prediction
- handles unseen examples
- True
- False
- True
- adds to bias
- spotting a sick leaf
- a prediction
- False
- the right answer tag
- a text description
- better at its task
- to see if it works
- good for training
- False
- suggesting a video
- True
- not a real check
- music or sound
- recorded spoken words
- sorts or predicts
- adds to bias
- composing a new tune
- needs AI (learning)
- a spam filter
- makes something new
- predicting
- labels added at random
- True
- look in your textbook
- ignore complaints
- the learned patterns
- True
- a simple rule is enough
- False
- True
- training data
- no, it follows rules
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students