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Taxshila Research Page

DIYA Ethic in Knowledge Transfer: Structural Model of Self-Directed Classroom Learning

By Shiva Narayan
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Traditional classrooms frequently rely on expert-centered instruction, where learners depend heavily on teachers for explanation, interpretation, and validation. While this approach can transmit information, it often limits autonomous knowledge construction. In contrast, the DIYA ethic of learnography emphasizes learner-driven engagement, where students build their own understanding through structured activity. DIYA-Based Book-to-Brain Transfer for Sustainable Academic Achievement DIYA in the Gyanpeeth Architecture parallels its practical meaning in craftsmanship — building, repairing or modifying without relying on professionals. Applied to knowledge transfer, it means learners actively construct brain-based learning modules by engaging reading, writing, organizing, and problem-solving circuits independently. The structural model presented in the Taxshila Model reframes the classroom as a knowledge-construction environment, where pre-trained learners function as the designers of their...
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Neuro-Integrative Model of Emotional Reciprocity and Knowledge Propagation

By Shiva Narayan
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Human learning is deeply reciprocal and social. The classrooms, workplaces, and communities function not only as information-sharing systems but as emotional ecosystems. Within these ecosystems, emotions replicate, behaviors mirror, and knowledge either expands or deteriorates depending on the prevailing affective climate. Limbic System and Architecture of Social Learning – Reciprocal Learnography Traditional cognitive models of education emphasize reasoning and memory while underestimating the role of emotional reciprocity. However, neuroscience demonstrates that the brain is biologically structured for emotional contagion and behavioral imitation. Emotional signals activate limbic circuits, which influence executive control and motor execution systems. Thus, knowledge propagation is not merely cognitive transmission; it is an emotionally mediated neural synchronization process. This article advances a neuro-integrative framework explaining how emotional reciprocity functions as the d...
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LCM Gyanpeeth Perspective: Neuro-Integrative Theory of Knowledge Transfer

By Shiva Narayan
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What if real learning depends on how well the emotional, thinking and action systems of your brain work together? Neuro-Integrative Theory of Knowledge Transfer reveals that lasting mastery happens when three powerful brain networks synchronize — limbic (emotion), cognitive (reasoning), and motor (action). LCM stands for Limbic–Cognitive–Motor Integration, the unified model of knowledge transfer. Gyanpeeth LCM Framework: Unified Theory of Brain-Based Learning Instead of treating learning as memorization, the LCM framework shows that emotional engagement activates attention and memory, structured thinking organizes understanding, and hands-on performance strengthens and stabilizes knowledge. When learners feel curious, build clear concepts, and apply what they know through action, the brain forms stronger and more adaptable neural pathways. This whole-brain model offers a fresh direction for academic learning and training — moving from lecture-based instruction to integrated learning en...
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Teacher, Actor and Worker: Neuro-Learnographic Perspective on Knowledge Transformation

By Shiva Narayan
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 What if teaching, acting, and working are all parts of the same brain process? Teacher, Actor and Worker in Brain Dynamics – Neural Cycle of Knowledge Transformation reveals how knowledge moves through three powerful systems of the brain – emotion (limbic), reasoning (cognitive), and action (motor). Teachers transform emotional curiosity into structured understanding. Actors turn structured ideas into emotional experiences. Workers and professionals convert both into skilled performance. Taxshila Golden Triangle in Knowledge Transformation Across Professions Learnography is rooted in Taxshila Neuroscience and the Gyanpeeth Framework. It explains why true learning happens only when we feel, think, and act together. Explore how the Limbic–Cognitive–Motor (LCM) loop can transform classrooms, training systems, and real-world performance into whole-brain learning environments. 🧠 Research Introduction: Neuro-Learnographic Perspective on Knowledge Transformation Knowledge transformation...
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Brainpage Classrooms: Miniature School Model for Knowledge Construction

By Shiva Narayan
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 The Brainpage Classroom represents a shift from centralized instruction to distributed knowledge construction. Unlike traditional talking schools, the Brainpage or Happiness Classroom is intentionally divided into seven miniature schools, each functioning as the team of an active learning operational design. From Centralized Teaching to Miniature Schools: Structural Shift in Education Knowledge is not delivered from one central authority. Instead, it is constructed simultaneously across seven structured micro-systems. Each miniature school becomes a dynamic engine of module building, peer sharing, and neural integration. This in-depth research article explains how a classroom divided into seven miniature schools of seven learners each creates a distributed, neuroscience-aligned learning ecosystem. ✍️ Research Introduction: Teamwork of Knowledge Construction Brainpage Classroom Structure: The 7×7+1 Model of Distributed Knowledge Leadership Educational systems worldwide continue to ...
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Knowledge Construction in Learnography: Taxshila Neuroscience Perspective

By Shiva Narayan
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 Traditional education systems often operate as “talking schools”, where knowledge is transmitted verbally and expected to be cognitively absorbed. However, neuroscience demonstrates that durable knowledge emerges from active neural integration rather than passive listening. Knowledge is Built, Not Delivered: Rethinking Education Systems Learnography redefines learning as structured knowledge construction driven by motor engagement, emotional activation, and spatial organization. Taxshila Neuroscience provides the theoretical backbone of this model. It examines how specific brain circuits coordinate to transform sensory input into stable, transferable knowledge modules. Knowledge is not stored as isolated facts but as interconnected brainpage maps and modules. These are organized neural maps and modules constructed through guided motor-cognitive processes. 📙 Research Introduction: Process of Knowledge Construction Knowledge construction is not the passive reception of definitions ...
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