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 of these uses AI? (a) a spam filter (b) a calculator (c) a fan regulator (d) a digital watch
- 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
- 3.True or false: showing the time on a clock only needs a simple fixed rule. (a) False (b) True
- 4.True or false: “examples of every type” is bad for training a model. (a) True (b) False
- 5.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
- 6.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) suggesting a video (c) drafting a letter (d) turning speech to text
- 7.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
- 8.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) fix wrong labels (d) ignore complaints
- 9.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
- 10.True or false: “same steps every time” describes how a normal program works. (a) True (b) False
- 11.True or false: “naming a new fruit photo” is the model. (a) True (b) False
- 12.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) making up a story (c) writing a new poem (d) unlocking with a face
- 13.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
- 14.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
- 15.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) check who is missing (d) ask different people
- 16.Which of these is good for training a model? (a) very few examples (b) copies of one photo (c) checking labels twice (d) testing on training data
- 17.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
- 18.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
- 19.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) writing a new poem (c) composing a new tune (d) sorting photos by face
- 20.Which of these is good for training a model? (a) only one kind of example (b) clear, sharp examples (c) labels added at random (d) very few examples
- 21.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
- 22.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) add more of the same (d) test on many groups
- 23.🔍 Which is the odd one out? (a) drafting a letter (b) creating a cartoon (c) writing a new poem (d) turning speech to text
- 24.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
- 25.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
- 26.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) naming a new leaf (d) past weather records
- 27.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
- 28.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a strong battery (d) a broken screen
- 29.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
- 30.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
- 31.🔍 Which is the odd one out? (a) correct labels (b) examples of every type (c) testing on training data (d) many varied examples
- 32.True or false: a book app suggesting a story like your last one is AI predicting something. (a) True (b) False
- 33.🔍 Which is the odd one out? (a) an AI chatbot (b) a light switch (c) a torch (d) a calculator
- 34.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
- 35.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
- 36.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
- 37.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) music or sound (b) text (c) an image
- 38.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) labelled fruit photos (d) 500 labelled leaf photos
- 39.🔍 Which is the odd one out? (a) unlocking with a face (b) turning speech to text (c) inventing a recipe (d) predicting rain
- 40.True or false: “a cheerful tune for Sports Day” asks for an image. (a) False (b) True
Answer key
- a spam filter
- a prediction
- True
- False
- False
- drafting a letter
- a simple rule is enough
- fix wrong labels
- more varied data
- True
- False
- unlocking with a face
- False
- False
- skip testing
- checking labels twice
- True
- sorts or predicts
- sorting photos by face
- clear, sharp examples
- False
- add more of the same
- turning speech to text
- no
- training data
- past weather records
- to see if it works
- bias from data
- False
- it learns patterns
- testing on training data
- False
- an AI chatbot
- a normal program
- reduces bias
- not a real check
- music or sound
- typing a new spoken word
- inventing a recipe
- False
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students