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Showing posts with the label Visuo-Spatial Learning

A Comparative Study of Infographics and Learnographics in Knowledge Transfer Efficiency

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This research paper presents a comprehensive comparative study of infographics and learnographics, exploring their structural differences, cognitive foundations, and effectiveness in knowledge transfer efficiency. The study highlights why learnographics outperform infographics in long-term retention, autonomous learning, and performance-based outcomes, offering insights for transforming conventional teaching systems into active brainpage classrooms. Infographics vs Learnographics: Two Worlds of Visual Learning and Knowledge Transfer While infographics simplify information through visual communication, they rely primarily on semantic memory and perceptual cognition. In contrast, learnographics — rooted in learnography, motor science, SOTIM architecture, and brainpage theory — activate visuo-spatial navigation, motor pathways, and procedural memory to convert information into actionable knowledge. Introduction: Infographics and Learnographics Infographics and learnographics represent two...

No Teachers, Only Learners: Redesigning Schooling Through Brainpage Theory

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Modern schools are built on a teaching-centered model — a teacher explains, and students listen. Yet deep learning rarely emerges from listening alone. The human brain learns through doing, mapping, practicing, and solving. Brainpage Theory challenges the traditional paradigm by proposing a complete shift from teaching-based instruction to learner-driven knowledge transfer. Learning Without Lectures: Architecture of System Learnography In this redesigned system, there are no teachers — only learners, scholars, and performers who build mastery through book-to-brain processing, miniature schools, and zeidpage execution. The classroom becomes a place of active cognition and motor learning, not passive listening. This comprehensive article explores how Brainpage Theory and the Taxshila Model enable a zero-teaching school ecosystem, aligning learning with taxshila neuroscience, motor science, and the natural architecture of the human brain. Brainpage Theory and system learnography propose a...

Learnography Without Teaching: A New Paradigm of Knowledge Transfer in Taxshila Model

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Discover how Brainpage Theory and the Taxshila Model School System redefine learning by completely removing teaching from the classroom. Instead of lectures, explanations, and teacher-centered instruction, this innovative system relies on knowledge transfer through sourcepage reading, brainpage construction, and zeidpage performance. Sourcepage to Zeidpage: Complete Cycle of Learnographic Knowledge Transfer In a teaching-free environment, pre-trained learners operate as scholars, model learners guide task execution, and miniature schools promote teamwork, autonomy and mastery. Explore how motor science, visuo-spatial cognition, and the seven dimensions of knowledge transfer redesign schooling into a high-performance and learner-driven ecosystem.  Here, thinking, practice, and skill execution replace traditional education. This paper presents a comprehensive view of how classrooms transform into knowledge workplaces — producing independent, confident, and innovation-ready scholars. ...

From Definition to Design: Structural Framework of Taxshila Technology

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📝 Research Introduction: Building the Blueprint of Tech Structure In the journey of technological innovation, the Structure Phase serves as the crucial turning point, where abstract definitions are transformed into organized and actionable blueprints. Following the Definition Phase—which conceptualizes the purpose, vision and functional ideas of technology—the Structure Phase of Taxshila Technology focuses on crafting the architectural framework that guides and supports all subsequent development. It provides the skeletal foundation upon which creativity, design and deployment can flourish. This phase plays a central role in converting raw conceptual inputs into structured innovation matrices that define core components, system dynamics, modular interconnectivity, and operational hierarchies. It is within this phase that the Innovation Matrix emerges. This is a structured and scalable model that maps functional blocks and task flows aligned with the intended technological outcome. Muc...