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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.

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