Ismail A Mageed Octo Fundamenta(OF) Part V: The Metacognitive AI Mind Palace (MAMP). Next-Generation Mathematics Education

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Authors: Ismail A Mageed
Cited by: 0

Abstract

This paper proposes a paradigm shift in mathematics education by integrating Ismail A Mageed Octo Fundamenta, and AI-driven optimization into a unified pedagogical framework: the Metacognitive AI Mind Palace (MAMP). Current educational models rely on discrete, linear assessments that fail to capture the continuous, multidimensional nature of human cognition. By modeling knowledge acquisition as a continuous electromagnetic field and utilizing fractal geometry to map curriculum interconnectivity, we develop a system that adapts to individual cognitive entropy. We employ group testing theory to efficiently identify knowledge gaps and use queueing theory to optimize cognitive load. This approach aims to minimize the thermodynamic cost of learning while maximizing information retention across Primary, Secondary, Further Education and Skills.

Fields of Study & Subjects

Artificial Intelligence in Education Intelligent Tutoring Systems and Adaptive Learning Educational Technology and Assessment

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 February 2026
Language
EN
Document type
Preprint