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Taxshila Research Page

Wave Rider Learnography: Learning Through Waves, Reactance and Motor Adaptation

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Wave Rider Learnography proposes a learnography-based framework for understanding how knowledge and skill are constructed through direct interaction with moving environmental forces. Discover how Wave Rider Learnography transforms life's challenges into learning experiences, developing adaptability, resilience, recovery, and forward movement through the metaphor of riding waves. Waves of Human Life and the Science of Wave Rider Learnography Surfing provides a particularly powerful model because the learner does not perform a fixed movement against a stable background. Instead, the learner must continuously perceive, predict, react to, and adapt to the changing dynamics of the wave, board, body, and water. In this environment, learning becomes an embodied process in which sensory information is converted into motor action, and motor error is continuously transformed into improved coordination. The concept of reactance in this article refers to the learner's motor response to cha...

Working to Learn Knowledge: Role of Work in Learnography

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The role of work in system learnography examines work as a fundamental mechanism of knowledge transfer and knowledge construction in active space. Taxshila Model proposes that scholars learn more effectively when they actively work with knowledge rather than remain the passive recipients of teacher-mediated information. Working-Based Learnography: A New Approach to Knowledge Transfer Within the miniature schools of the happiness classroom, learners engage with structured tasks through reading, writing, observation, calculation, experimentation, construction, problem-solving, and practical application. The proposed sourcepage → brainpage → zeidpage pathway describes the transformation of organized knowledge into internally constructed knowledge and subsequently into applied knowledge. The sourcepage provides the knowledge input — working with that knowledge supports the formation and organization of brainpage maps and modules. Application converts the brainpage into a functional zeidpag...

Brainpage Engineering: Science of Knowledge Transfer

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Brainpage Engineering can be conceptualized as a knowledge-transfer discipline within System Learnography, the Gyanpeeth Architecture, and the Taxshila Model. Its central proposition is that effective knowledge transfer should be understood not merely as the delivery of information but as the systematic construction of organized knowledge structures within the learner. Brainpage Engineering: A New Science of Knowledge Transfer A brainpage, in this framework, is represented through three fundamental components — map, pathway and module. The learning map represents the structure of knowledge; the zeid pathway represents the spatial and relational connectivity among knowledge objects; and the memory module represents an organized functional unit of knowledge transfer. Taxshila Neuroscience provides a proposed research framework for investigating the neural systems associated with these processes. It considers the coordinated participation of sensory and association cortices, hippocampal n...