Taxshila Renaissance: Integrated Neuro-Systemic Framework for Knowledge Transfer Engineering
The global education system is facing a structural inefficiency characterized by low retention, passive cognition, and the weak translation of knowledge into real-world outcomes. This paper introduces Taxshila Renaissance as an integrated neuro-systemic framework designed to reengineer academic knowledge transfer. Knowledge Transfer Engineering in the Age of Learnography By combining System Learnography, Taxshila Model, Gyanpeeth Architecture, Taxshila Taxonomy, Taxshila Technology, and Taxshila Neuroscience, the framework transforms education into a high-efficiency, motor-driven, and brain-optimized system. The study emphasizes Motor Science as the core engine of knowledge transfer, enabling active encoding, long-term retention, and application-oriented learning. The paper proposes a scalable architecture that aligns academic systems with employment, innovation, and future societal needs. 📘 Research Introduction: Reengineering Academic Knowledge Transfer Systems Education, as a syste...