Classification
A machine learning task where items are categorized into defined groups (e.g., “spam” vs. “not spam”).
👩🏫 How to Explain by Age Group
Elementary (K–5)
“Classification is like sorting toys into bins, cars in one, animals in another. Computers can learn to do this with words, pictures, and more.”
Middle School (6–8)
“Classification helps computers put things into categories, like sorting emails as “important” or “junk.” It’s a key skill in AI used in apps, games, and even school tools.”
High School (9–12)
"Classification is a core task in machine learning. An AI model learns to assign inputs into predefined categories, used in email filtering, diagnostics, and student feedback tools like Vervotex AI for Education.”
🚀 Classroom Expeditions
Mini-journeys into AI thinking.
Elementary (K–5)
Bring in objects (or pictures) and let students sort them into groups. Then ask: “What if a computer had to do this?” Introduce the idea of classification in machines.
Middle School (6–8)
Have students classify sentences into “positive” or “negative” moods. Then discuss how AI uses similar techniques to understand feedback or reviews, and how tutoring tools apply that to learning.
High School (9–12)
Let students explore a public dataset (like images or tweets) and create a simple classification model using free tools (Teachable Machine, Google Colab). Discuss how this mirrors how Vervotex and similar platforms support smart feedback and skill tagging.
