AGE: Agent Guided Education - Rethinking the Architecture of Learning in the Age of Intelligent Systems

Read full text
Authors: Frederick Abila
Cited by: 0

Abstract

This paper introduces Agent Guided Education (AGE), a framework proposing the deep integration of AI agents into modern educational infrastructure. AGE repositions teachers as mentors and knowledge architects while intelligent agents handle continuous behavioral and cognitive profiling, adaptive content delivery, and personalized learning pathways. The paper outlines the theoretical foundations, operational components, ethical considerations, and projected performance outcomes of the AGE model.

Fields of Study & Subjects

Artificial Intelligence in Education Intelligent Tutoring Systems and Adaptive Learning Artificial Intelligence in Healthcare and Education

Publication details

Publication date
2 March 2026
Language
EN
Document type
Preprint