Скачать или смотреть शारीरिक क्रिया से ज्ञान सीखना | LCM Gyanpeeth Perspective|Neuro-Integrative Theory | Shiva Narayan

शारीरिक क्रिया से ज्ञान सीखना | LCM Gyanpeeth Perspective | Neuro-Integrative Theory | Shiva Narayan | Taxshila Page | Hindi

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Gyanpeeth System
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Integrative Brain Networks in Knowledge Construction, Transformation and Performance
Gyanpeeth Perspective
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Title:
LCM Gyanpeeth Perspective: Neuro-Integrative Theory of Knowledge Transfer

By Shiva Narayan
This Paper Published on the Taxshila Research Page Site
February 21, 2026

🔗 Source Link:
https://taxshilateachers.blogspot.com...

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📗 The Excerpt:

Neuro-Integrative Theory of Knowledge Transfer: LCM Gyanpeeth Perspective presents a whole-brain framework explaining how sustainable learning emerges through the integration of Limbic–Cognitive–Motor (LCM) systems.

The theory argues that knowledge transfer is not a purely intellectual process but a dynamic neural transformation beginning with emotional activation (limbic system), progressing through conceptual organization (cognitive networks), and culminating in embodied execution (motor systems). Emotional engagement enhances memory encoding through limbic circuits; executive brain regions structure and refine meaning; and motor networks consolidate learning through action, repetition and performance.

The LCM Gyanpeeth Perspective synthesizes affective neuroscience, executive control theory, and motor learning research to propose a cyclical neural loop rather than a linear instructional model. In this loop, emotion energizes learning, cognition stabilizes it, and motor embodiment secures long-term retention and adaptability.

By redefining mastery as integrated neural synchronization rather than memorized information, the theory provides a scientific foundation for redesigning classrooms, professional training systems, and performance environments. It emphasizes that knowledge becomes durable only when learners feel deeply, think clearly, and act precisely within a unified neuro-functional cycle.


🔖 Keywords:

Neuro-Integrative Theory, Knowledge Transfer, Limbic–Cognitive–Motor Integration, LCM Framework, Gyanpeeth Perspective, Taxshila Neuroscience, Whole-Brain Learning, Emotional Encoding, Executive Function, Motor Embodiment, Neural Loop, Affective Neuroscience, Cognitive Structuring, Motor Learning, Brain-Based Active Learning, Integrated Learning Model, Neural Synchronization, Knowledge Transformation


🔎 Meta Description:

LCM explains how effective learning requires coordinated activation of emotional (limbic), executive (cognitive), and motor (embodied) brain systems.

Emotional engagement initiates attention and memory encoding, cognitive networks organize structured meaning, and motor circuits consolidate knowledge through action and performance.

The LCM framework proposes a cyclical neural loop in which feeling, reasoning, and execution operate in synchronized integration to produce durable mastery and adaptive expertise.

By integrating principles from affective neuroscience, executive control research, and motor learning science, the theory provides a comprehensive foundation for transforming knowledge transfer environments into whole-brain, performance-oriented systems.

The gyanpeeth perspective offers insights for educators, researchers, and policy-makers seeking evidence-based approaches to sustainable knowledge transfer, interdisciplinary learning, and innovation-driven learnography.

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📝 Article:

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 environments where learners feel deeply, think clearly, and perform confidently.
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