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