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