Posts

Taxshila Research Page

Neuro-Integrative Model of Emotional Reciprocity and Knowledge Propagation

By Shiva Narayan
Image
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...
Post a Comment
Read more

LCM Gyanpeeth Perspective: Neuro-Integrative Theory of Knowledge Transfer

By Shiva Narayan
Image
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...
Post a Comment
Read more

Teacher, Actor and Worker: Neuro-Learnographic Perspective on Knowledge Transformation

By Shiva Narayan
Image
 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...
Post a Comment
Read more

Brainpage Classrooms: Miniature School Model for Knowledge Construction

By Shiva Narayan
Image
 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 ...
Post a Comment
Read more

Knowledge Construction in Learnography: Taxshila Neuroscience Perspective

By Shiva Narayan
Image
 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 ...
Post a Comment
Read more

Taxshila Levels: Measuring Learner's Development Through Brain, Body and Behavior

By Shiva Narayan
Image
 Contemporary educational assessment systems largely emphasize curriculum coverage and standardized testing, often overlooking the underlying neurological and behavioral processes that govern learning. Neuroscientific research increasingly confirms that effective learning is a result of dynamic interactions between the brain, body and behavior, driven by efficient knowledge transfer rather than passive information intake. The Taxshila Gyanpeeth Model responds to this challenge by introducing the Taxshila Levels, a neuroscience-based framework designed to evaluate learner development through learnography. This is the science of book-to-brain and brain-to-behavior knowledge transfer. Learner Evolution Through the Taxshila Levels of Knowledge Transfer This paper presents a structured analysis of the six Taxshila Levels, ranging from foundational brain readiness to research-level knowledge creation. Each level represents a measurable transformation in neural integration, motor cognitio...
Post a Comment
Read more